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15 Real-Life Case Study Examples & Best Practices

Written by: Oghale Olori

Case studies are more than just success stories.

They are powerful tools that demonstrate the practical value of your product or service. Case studies help attract attention to your products, build trust with potential customers and ultimately drive sales.

It’s no wonder that 73% of successful content marketers utilize case studies as part of their content strategy. Plus, buyers spend 54% of their time reviewing case studies before they make a buying decision.

To ensure you’re making the most of your case studies, we’ve put together 15 real-life case study examples to inspire you. These examples span a variety of industries and formats. We’ve also included best practices, design tips and templates to inspire you.

Let’s dive in!

Table of Contents

What is a case study, 15 real-life case study examples, sales case study examples, saas case study examples, product case study examples, marketing case study examples, business case study examples, case study faqs.

• A case study is a compelling narrative that showcases how your product or service has positively impacted a real business or individual. 
• Case studies delve into your customer's challenges, how your solution addressed them and the quantifiable results they achieved.
• Your case study should have an attention-grabbing headline, great visuals and a relevant call to action. Other key elements include an introduction, problems and result section.
• Visme provides easy-to-use tools, professionally designed templates and features for creating attractive and engaging case studies.

A case study is a real-life scenario where your company helped a person or business solve their unique challenges. It provides a detailed analysis of the positive outcomes achieved as a result of implementing your solution.

Case studies are an effective way to showcase the value of your product or service to potential customers without overt selling. By sharing how your company transformed a business, you can attract customers seeking similar solutions and results.

Case studies are not only about your company's capabilities; they are primarily about the benefits customers and clients have experienced from using your product.

Every great case study is made up of key elements. They are;

• Attention-grabbing headline: Write a compelling headline that grabs attention and tells your reader what the case study is about. For example, "How a CRM System Helped a B2B Company Increase Revenue by 225%.
• Introduction/Executive Summary: Include a brief overview of your case study, including your customer’s problem, the solution they implemented and the results they achieved.
• Problem/Challenge: Case studies with solutions offer a powerful way to connect with potential customers. In this section, explain how your product or service specifically addressed your customer's challenges.
• Solution: Explain how your product or service specifically addressed your customer's challenges.
• Results/Achievements : Give a detailed account of the positive impact of your product. Quantify the benefits achieved using metrics such as increased sales, improved efficiency, reduced costs or enhanced customer satisfaction.
• Graphics/Visuals: Include professional designs, high-quality photos and videos to make your case study more engaging and visually appealing.
• Quotes/Testimonials: Incorporate written or video quotes from your clients to boost your credibility.
• Relevant CTA: Insert a call to action (CTA) that encourages the reader to take action. For example, visiting your website or contacting you for more information. Your CTA can be a link to a landing page, a contact form or your social media handle and should be related to the product or service you highlighted in your case study.

Now that you understand what a case study is, let’s look at real-life case study examples. Among these, you'll find some simple case study examples that break down complex ideas into easily understandable solutions.

In this section, we’ll explore SaaS, marketing, sales, product and business case study examples with solutions. Take note of how these companies structured their case studies and included the key elements.

We’ve also included professionally designed case study templates to inspire you.

1. Georgia Tech Athletics Increase Season Ticket Sales by 80%

Georgia Tech Athletics, with its 8,000 football season ticket holders, sought for a way to increase efficiency and customer engagement.

Their initial sales process involved making multiple outbound phone calls per day with no real targeting or guidelines. Georgia Tech believed that targeting communications will enable them to reach more people in real time.

Salesloft improved Georgia Tech’s sales process with an inbound structure. This enabled sales reps to connect with their customers on a more targeted level. The use of dynamic fields and filters when importing lists ensured prospects received the right information, while communication with existing fans became faster with automation.

As a result, Georgia Tech Athletics recorded an 80% increase in season ticket sales as relationships with season ticket holders significantly improved. Employee engagement increased as employees became more energized to connect and communicate with fans.

Why Does This Case Study Work?

In this case study example , Salesloft utilized the key elements of a good case study. Their introduction gave an overview of their customers' challenges and the results they enjoyed after using them. After which they categorized the case study into three main sections: challenge, solution and result.

Salesloft utilized a case study video to increase engagement and invoke human connection.

Incorporating videos in your case study has a lot of benefits. Wyzol’s 2023 state of video marketing report showed a direct correlation between videos and an 87% increase in sales.

The beautiful thing is that creating videos for your case study doesn’t have to be daunting.

With an easy-to-use platform like Visme, you can create top-notch testimonial videos that will connect with your audience. Within the Visme editor, you can access over 1 million stock photos , video templates, animated graphics and more. These tools and resources will significantly improve the design and engagement of your case study.

Simplify content creation and brand management for your team

• Collaborate on designs , mockups and wireframes with your non-design colleagues
• Lock down your branding to maintain brand consistency throughout your designs
• Why start from scratch? Save time with 1000s of professional branded templates

Sign up. It’s free.

2. WeightWatchers Completely Revamped their Enterprise Sales Process with HubSpot

WeightWatchers, a 60-year-old wellness company, sought a CRM solution that increased the efficiency of their sales process. With their previous system, Weightwatchers had limited automation. They would copy-paste message templates from word documents or recreate one email for a batch of customers.

This required a huge effort from sales reps, account managers and leadership, as they were unable to track leads or pull customized reports for planning and growth.

WeightWatchers transformed their B2B sales strategy by leveraging HubSpot's robust marketing and sales workflows. They utilized HubSpot’s deal pipeline and automation features to streamline lead qualification. And the customized dashboard gave leadership valuable insights.

As a result, WeightWatchers generated seven figures in annual contract value and boosted recurring revenue. Hubspot’s impact resulted in 100% adoption across all sales, marketing, client success and operations teams.

Hubspot structured its case study into separate sections, demonstrating the specific benefits of their products to various aspects of the customer's business. Additionally, they integrated direct customer quotes in each section to boost credibility, resulting in a more compelling case study.

Getting insight from your customer about their challenges is one thing. But writing about their process and achievements in a concise and relatable way is another. If you find yourself constantly experiencing writer’s block, Visme’s AI writer is perfect for you.

Visme created this AI text generator tool to take your ideas and transform them into a great draft. So whether you need help writing your first draft or editing your final case study, Visme is ready for you.

3. Immi’s Ram Fam Helps to Drive Over $200k in Sales

Immi embarked on a mission to recreate healthier ramen recipes that were nutritious and delicious. After 2 years of tireless trials, Immi finally found the perfect ramen recipe. However, they envisioned a community of passionate ramen enthusiasts to fuel their business growth.

This vision propelled them to partner with Shopify Collabs. Shopify Collabs successfully cultivated and managed Immi’s Ramen community of ambassadors and creators.

As a result of their partnership, Immi’s community grew to more than 400 dedicated members, generating over $200,000 in total affiliate sales.

The power of data-driven headlines cannot be overemphasized. Chili Piper strategically incorporates quantifiable results in their headlines. This instantly sparks curiosity and interest in readers.

While not every customer success story may boast headline-grabbing figures, quantifying achievements in percentages is still effective. For example, you can highlight a 50% revenue increase with the implementation of your product.

Take a look at the beautiful case study template below. Just like in the example above, the figures in the headline instantly grab attention and entice your reader to click through.

Having a case study document is a key factor in boosting engagement. This makes it easy to promote your case study in multiple ways. With Visme, you can easily publish, download and share your case study with your customers in a variety of formats, including PDF, PPTX, JPG and more!

4. How WOW! is Saving Nearly 79% in Time and Cost With Visme

This case study discusses how Visme helped WOW! save time and money by providing user-friendly tools to create interactive and quality training materials for their employees. Find out what your team can do with Visme. Request a Demo

WOW!'s learning and development team creates high-quality training materials for new and existing employees. Previous tools and platforms they used had plain templates, little to no interactivity features, and limited flexibility—that is, until they discovered Visme.

Now, the learning and development team at WOW! use Visme to create engaging infographics, training videos, slide decks and other training materials.

This has directly reduced the company's turnover rate, saving them money spent on recruiting and training new employees. It has also saved them a significant amount of time, which they can now allocate to other important tasks.

Visme's customer testimonials spark an emotional connection with the reader, leaving a profound impact. Upon reading this case study, prospective customers will be blown away by the remarkable efficiency achieved by Visme's clients after switching from PowerPoint.

Visme’s interactivity feature was a game changer for WOW! and one of the primary reasons they chose Visme.

“Previously we were using PowerPoint, which is fine, but the interactivity you can get with Visme is so much more robust that we’ve all steered away from PowerPoint.” - Kendra, L&D team, Wow!

Visme’s interactive feature allowed them to animate their infographics, include clickable links on their PowerPoint designs and even embed polls and quizzes their employees could interact with.

By embedding the slide decks, infographics and other training materials WOW! created with Visme, potential customers get a taste of what they can create with the tool. This is much more effective than describing the features of Visme because it allows potential customers to see the tool in action.

To top it all off, this case study utilized relevant data and figures. For example, one part of the case study said, “In Visme, where Kendra’s team has access to hundreds of templates, a brand kit, and millions of design assets at their disposal, their team can create presentations in 80% less time.”

Who wouldn't want that?

Including relevant figures and graphics in your case study is a sure way to convince your potential customers why you’re a great fit for their brand. The case study template below is a great example of integrating relevant figures and data.

This colorful template begins with a captivating headline. But that is not the best part; this template extensively showcases the results their customer had using relevant figures.

The arrangement of the results makes it fun and attractive. Instead of just putting figures in a plain table, you can find interesting shapes in your Visme editor to take your case study to the next level.

5. Lyte Reduces Customer Churn To Just 3% With Hubspot CRM

While Lyte was redefining the ticketing industry, it had no definite CRM system . Lyte utilized 12–15 different SaaS solutions across various departments, which led to a lack of alignment between teams, duplication of work and overlapping tasks.

Customer data was spread across these platforms, making it difficult to effectively track their customer journey. As a result, their churn rate increased along with customer dissatisfaction.

Through Fuelius , Lyte founded and implemented Hubspot CRM. Lyte's productivity skyrocketed after incorporating Hubspot's all-in-one CRM tool. With improved efficiency, better teamwork and stronger client relationships, sales figures soared.

The case study title page and executive summary act as compelling entry points for both existing and potential customers. This overview provides a clear understanding of the case study and also strategically incorporates key details like the client's industry, location and relevant background information.

Having a good summary of your case study can prompt your readers to engage further. You can achieve this with a simple but effective case study one-pager that highlights your customer’s problems, process and achievements, just like this case study did in the beginning.

Moreover, you can easily distribute your case study one-pager and use it as a lead magnet to draw prospective customers to your company.

Take a look at this case study one-pager template below.

This template includes key aspects of your case study, such as the introduction, key findings, conclusion and more, without overcrowding the page. The use of multiple shades of blue gives it a clean and dynamic layout.

Our favorite part of this template is where the age group is visualized.

With Visme’s data visualization tool , you can present your data in tables, graphs, progress bars, maps and so much more. All you need to do is choose your preferred data visualization widget, input or import your data and click enter!

6. How Workato Converts 75% of Their Qualified Leads

Workato wanted to improve their inbound leads and increase their conversion rate, which ranged from 40-55%.

At first, Workato searched for a simple scheduling tool. They soon discovered that they needed a tool that provided advanced routing capabilities based on zip code and other criteria. Luckily, they found and implemented Chili Piper.

As a result of implementing Chili Piper, Workato achieved a remarkable 75–80% conversion rate and improved show rates. This led to a substantial revenue boost, with a 10-15% increase in revenue attributed to Chili Piper's impact on lead conversion.

This case study example utilizes the power of video testimonials to drive the impact of their product.

Chili Piper incorporates screenshots and clips of their tool in use. This is a great strategy because it helps your viewers become familiar with how your product works, making onboarding new customers much easier.

In this case study example, we see the importance of efficient Workflow Management Systems (WMS). Without a WMS, you manually assign tasks to your team members and engage in multiple emails for regular updates on progress.

However, when crafting and designing your case study, you should prioritize having a good WMS.

Visme has an outstanding Workflow Management System feature that keeps you on top of all your projects and designs. This feature makes it much easier to assign roles, ensure accuracy across documents, and track progress and deadlines.

Visme’s WMS feature allows you to limit access to your entire document by assigning specific slides or pages to individual members of your team. At the end of the day, your team members are not overwhelmed or distracted by the whole document but can focus on their tasks.

7. Rush Order Helps Vogmask Scale-Up During a Pandemic

Vomask's reliance on third-party fulfillment companies became a challenge as demand for their masks grew. Seeking a reliable fulfillment partner, they found Rush Order and entrusted them with their entire inventory.

Vomask's partnership with Rush Order proved to be a lifesaver during the COVID-19 pandemic. Rush Order's agility, efficiency and commitment to customer satisfaction helped Vogmask navigate the unprecedented demand and maintain its reputation for quality and service.

Rush Order’s comprehensive support enabled Vogmask to scale up its order processing by a staggering 900% while maintaining a remarkable customer satisfaction rate of 92%.

Rush Order chose one event where their impact mattered the most to their customer and shared that story.

While pandemics don't happen every day, you can look through your customer’s journey and highlight a specific time or scenario where your product or service saved their business.

The story of Vogmask and Rush Order is compelling, but it simply is not enough. The case study format and design attract readers' attention and make them want to know more. Rush Order uses consistent colors throughout the case study, starting with the logo, bold square blocks, pictures, and even headers.

Take a look at this product case study template below.

Just like our example, this case study template utilizes bold colors and large squares to attract and maintain the reader’s attention. It provides enough room for you to write about your customers' backgrounds/introductions, challenges, goals and results.

The right combination of shapes and colors adds a level of professionalism to this case study template.

8. AMR Hair & Beauty leverages B2B functionality to boost sales by 200%

With limits on website customization, slow page loading and multiple website crashes during peak events, it wasn't long before AMR Hair & Beauty began looking for a new e-commerce solution.

Their existing platform lacked effective search and filtering options, a seamless checkout process and the data analytics capabilities needed for informed decision-making. This led to a significant number of abandoned carts.

Upon switching to Shopify Plus, AMR immediately saw improvements in page loading speed and average session duration. They added better search and filtering options for their wholesale customers and customized their checkout process.

Due to this, AMR witnessed a 200% increase in sales and a 77% rise in B2B average order value. AMR Hair & Beauty is now poised for further expansion and growth.

This case study example showcases the power of a concise and impactful narrative.

To make their case analysis more effective, Shopify focused on the most relevant aspects of the customer's journey. While there may have been other challenges the customer faced, they only included those that directly related to their solutions.

Take a look at this case study template below. It is perfect if you want to create a concise but effective case study. Without including unnecessary details, you can outline the challenges, solutions and results your customers experienced from using your product.

Don’t forget to include a strong CTA within your case study. By incorporating a link, sidebar pop-up or an exit pop-up into your case study, you can prompt your readers and prospective clients to connect with you.

9. How a Marketing Agency Uses Visme to Create Engaging Content With Infographics

SmartBox Dental , a marketing agency specializing in dental practices, sought ways to make dental advice more interesting and easier to read. However, they lacked the design skills to do so effectively.

Visme's wide range of templates and features made it easy for the team to create high-quality content quickly and efficiently. SmartBox Dental enjoyed creating infographics in as little as 10-15 minutes, compared to one hour before Visme was implemented.

By leveraging Visme, SmartBox Dental successfully transformed dental content into a more enjoyable and informative experience for their clients' patients. Therefore enhancing its reputation as a marketing partner that goes the extra mile to deliver value to its clients.

Visme creatively incorporates testimonials In this case study example.

By showcasing infographics and designs created by their clients, they leverage the power of social proof in a visually compelling way. This way, potential customers gain immediate insight into the creative possibilities Visme offers as a design tool.

This example effectively showcases a product's versatility and impact, and we can learn a lot about writing a case study from it. Instead of focusing on one tool or feature per customer, Visme took a more comprehensive approach.

Within each section of their case study, Visme explained how a particular tool or feature played a key role in solving the customer's challenges.

For example, this case study highlighted Visme’s collaboration tool . With Visme’s tool, the SmartBox Dental content team fostered teamwork, accountability and effective supervision.

Visme also achieved a versatile case study by including relevant quotes to showcase each tool or feature. Take a look at some examples;

Visme’s collaboration tool: “We really like the collaboration tool. Being able to see what a co-worker is working on and borrow their ideas or collaborate on a project to make sure we get the best end result really helps us out.”

Visme’s library of stock photos and animated characters: “I really love the images and the look those give to an infographic. I also really like the animated little guys and the animated pictures. That’s added a lot of fun to our designs.”

Visme’s interactivity feature: “You can add URLs and phone number links directly into the infographic so they can just click and call or go to another page on the website and I really like adding those hyperlinks in.”

You can ask your customers to talk about the different products or features that helped them achieve their business success and draw quotes from each one.

10. Jasper Grows Blog Organic Sessions 810% and Blog-Attributed User Signups 400X

Jasper, an AI writing tool, lacked a scalable content strategy to drive organic traffic and user growth. They needed help creating content that converted visitors into users. Especially when a looming domain migration threatened organic traffic.

To address these challenges, Jasper partnered with Omniscient Digital. Their goal was to turn their content into a growth channel and drive organic growth. Omniscient Digital developed a full content strategy for Jasper AI, which included a content audit, competitive analysis, and keyword discovery.

Through their collaboration, Jasper’s organic blog sessions increased by 810%, despite the domain migration. They also witnessed a 400X increase in blog-attributed signups. And more importantly, the content program contributed to over $4 million in annual recurring revenue.

The combination of storytelling and video testimonials within the case study example makes this a real winner. But there’s a twist to it. Omniscient segmented the video testimonials and placed them in different sections of the case study.

Video marketing , especially in case studies, works wonders. Research shows us that 42% of people prefer video testimonials because they show real customers with real success stories. So if you haven't thought of it before, incorporate video testimonials into your case study.

Take a look at this stunning video testimonial template. With its simple design, you can input the picture, name and quote of your customer within your case study in a fun and engaging way.

Try it yourself! Customize this template with your customer’s testimonial and add it to your case study!

11. How Meliá Became One of the Most Influential Hotel Chains on Social Media

Meliá Hotels needed help managing their growing social media customer service needs. Despite having over 500 social accounts, they lacked a unified response protocol and detailed reporting. This largely hindered efficiency and brand consistency.

Meliá partnered with Hootsuite to build an in-house social customer care team. Implementing Hootsuite's tools enabled Meliá to decrease response times from 24 hours to 12.4 hours while also leveraging smart automation.

In addition to that, Meliá resolved over 133,000 conversations, booking 330 inquiries per week through Hootsuite Inbox. They significantly improved brand consistency, response time and customer satisfaction.

The need for a good case study design cannot be over-emphasized.

As soon as anyone lands on this case study example, they are mesmerized by a beautiful case study design. This alone raises the interest of readers and keeps them engaged till the end.

If you’re currently saying to yourself, “ I can write great case studies, but I don’t have the time or skill to turn it into a beautiful document.” Say no more.

Visme’s amazing AI document generator can take your text and transform it into a stunning and professional document in minutes! Not only do you save time, but you also get inspired by the design.

With Visme’s document generator, you can create PDFs, case study presentations , infographics and more!

Take a look at this case study template below. Just like our case study example, it captures readers' attention with its beautiful design. Its dynamic blend of colors and fonts helps to segment each element of the case study beautifully.

12. Tea’s Me Cafe: Tamika Catchings is Brewing Glory

Tamika's journey began when she purchased Tea's Me Cafe in 2017, saving it from closure. She recognized the potential of the cafe as a community hub and hosted regular events centered on social issues and youth empowerment.

One of Tamika’s business goals was to automate her business. She sought to streamline business processes across various aspects of her business. One of the ways she achieves this goal is through Constant Contact.

Constant Contact became an integral part of Tamika's marketing strategy. They provided an automated and centralized platform for managing email newsletters, event registrations, social media scheduling and more.

This allowed Tamika and her team to collaborate efficiently and focus on engaging with their audience. They effectively utilized features like WooCommerce integration, text-to-join and the survey builder to grow their email list, segment their audience and gather valuable feedback.

The case study example utilizes the power of storytelling to form a connection with readers. Constant Contact takes a humble approach in this case study. They spotlight their customers' efforts as the reason for their achievements and growth, establishing trust and credibility.

This case study is also visually appealing, filled with high-quality photos of their customer. While this is a great way to foster originality, it can prove challenging if your customer sends you blurry or low-quality photos.

If you find yourself in that dilemma, you can use Visme’s AI image edit tool to touch up your photos. With Visme’s AI tool, you can remove unwanted backgrounds, erase unwanted objects, unblur low-quality pictures and upscale any photo without losing the quality.

Constant Contact offers its readers various formats to engage with their case study. Including an audio podcast and PDF.

In its PDF version, Constant Contact utilized its brand colors to create a stunning case study design.  With this, they increase brand awareness and, in turn, brand recognition with anyone who comes across their case study.

With Visme’s brand wizard tool , you can seamlessly incorporate your brand assets into any design or document you create. By inputting your URL, Visme’s AI integration will take note of your brand colors, brand fonts and more and create branded templates for you automatically.

You don't need to worry about spending hours customizing templates to fit your brand anymore. You can focus on writing amazing case studies that promote your company.

13. How Breakwater Kitchens Achieved a 7% Growth in Sales With Thryv

Breakwater Kitchens struggled with managing their business operations efficiently. They spent a lot of time on manual tasks, such as scheduling appointments and managing client communication. This made it difficult for them to grow their business and provide the best possible service to their customers.

David, the owner, discovered Thryv. With Thryv, Breakwater Kitchens was able to automate many of their manual tasks. Additionally, Thryv integrated social media management. This enabled Breakwater Kitchens to deliver a consistent brand message, captivate its audience and foster online growth.

As a result, Breakwater Kitchens achieved increased efficiency, reduced missed appointments and a 7% growth in sales.

This case study example uses a concise format and strong verbs, which make it easy for readers to absorb the information.

At the top of the case study, Thryv immediately builds trust by presenting their customer's complete profile, including their name, company details and website. This allows potential customers to verify the case study's legitimacy, making them more likely to believe in Thryv's services.

However, manually copying and pasting customer information across multiple pages of your case study can be time-consuming.

To save time and effort, you can utilize Visme's dynamic field feature . Dynamic fields automatically insert reusable information into your designs.  So you don’t have to type it out multiple times.

14. Zoom’s Creative Team Saves Over 4,000 Hours With Brandfolder

Zoom experienced rapid growth with the advent of remote work and the rise of the COVID-19 pandemic. Such growth called for agility and resilience to scale through.

At the time, Zoom’s assets were disorganized which made retrieving brand information a burden. Zoom’s creative manager spent no less than 10 hours per week finding and retrieving brand assets for internal teams.

Zoom needed a more sustainable approach to organizing and retrieving brand information and came across Brandfolder. Brandfolder simplified and accelerated Zoom’s email localization and webpage development. It also enhanced the creation and storage of Zoom virtual backgrounds.

With Brandfolder, Zoom now saves 4,000+ hours every year. The company also centralized its assets in Brandfolder, which allowed 6,800+ employees and 20-30 vendors to quickly access them.

Brandfolder infused its case study with compelling data and backed it up with verifiable sources. This data-driven approach boosts credibility and increases the impact of their story.

Bradfolder's case study goes the extra mile by providing a downloadable PDF version, making it convenient for readers to access the information on their own time. Their dedication to crafting stunning visuals is evident in every aspect of the project.

From the vibrant colors to the seamless navigation, everything has been meticulously designed to leave a lasting impression on the viewer. And with clickable links that make exploring the content a breeze, the user experience is guaranteed to be nothing short of exceptional.

The thing is, your case study presentation won’t always sit on your website. There are instances where you may need to do a case study presentation for clients, partners or potential investors.

Visme has a rich library of templates you can tap into. But if you’re racing against the clock, Visme’s AI presentation maker is your best ally.

15. How Cents of Style Made $1.7M+ in Affiliate Sales with LeadDyno

Cents of Style had a successful affiliate and influencer marketing strategy. However, their existing affiliate marketing platform was not intuitive, customizable or transparent enough to meet the needs of their influencers.

Cents of Styles needed an easy-to-use affiliate marketing platform that gave them more freedom to customize their program and implement a multi-tier commission program.

After exploring their options, Cents of Style decided on LeadDyno.

LeadDyno provided more flexibility, allowing them to customize commission rates and implement their multi-tier commission structure, switching from monthly to weekly payouts.

Also, integrations with PayPal made payments smoother And features like newsletters and leaderboards added to the platform's success by keeping things transparent and engaging.

As a result, Cents of Style witnessed an impressive $1.7 million in revenue from affiliate sales with a substantial increase in web sales by 80%.

LeadDyno strategically placed a compelling CTA in the middle of their case study layout, maximizing its impact. At this point, readers are already invested in the customer's story and may be considering implementing similar strategies.

A well-placed CTA offers them a direct path to learn more and take action.

LeadDyno also utilized the power of quotes to strengthen their case study. They didn't just embed these quotes seamlessly into the text; instead, they emphasized each one with distinct blocks.

Are you looking for an easier and quicker solution to create a case study and other business documents? Try Visme's AI designer ! This powerful tool allows you to generate complete documents, such as case studies, reports, whitepapers and more, just by providing text prompts. Simply explain your requirements to the tool, and it will produce the document for you, complete with text, images, design assets and more.

Still have more questions about case studies? Let's look at some frequently asked questions.

How to Write a Case Study?

• Choose a compelling story: Not all case studies are created equal. Pick one that is relevant to your target audience and demonstrates the specific benefits of your product or service.
• Outline your case study: Create a case study outline and highlight how you will structure your case study to include the introduction, problem, solution and achievements of your customer.
• Choose a case study template: After you outline your case study, choose a case study template . Visme has stunning templates that can inspire your case study design.
• Craft a compelling headline: Include figures or percentages that draw attention to your case study.
• Work on the first draft: Your case study should be easy to read and understand. Use clear and concise language and avoid jargon.
• Include high-quality visual aids: Visuals can help to make your case study more engaging and easier to read. Consider adding high-quality photos, screenshots or videos.
• Include a relevant CTA: Tell prospective customers how to reach you for questions or sign-ups.

What Are the Stages of a Case Study?

The stages of a case study are;

• Planning & Preparation: Highlight your goals for writing the case study. Plan the case study format, length and audience you wish to target.
• Interview the Client: Reach out to the company you want to showcase and ask relevant questions about their journey and achievements.
• Revision & Editing: Review your case study and ask for feedback. Include relevant quotes and CTAs to your case study.
• Publication & Distribution: Publish and share your case study on your website, social media channels and email list!
• Marketing & Repurposing: Turn your case study into a podcast, PDF, case study presentation and more. Share these materials with your sales and marketing team.

What Are the Advantages and Disadvantages of a Case Study?

Advantages of a case study:

• Case studies showcase a specific solution and outcome for specific customer challenges.
• It attracts potential customers with similar challenges.
• It builds trust and credibility with potential customers.
• It provides an in-depth analysis of your company’s problem-solving process.

Disadvantages of a case study:

• Limited applicability. Case studies are tailored to specific cases and may not apply to other businesses.
• It relies heavily on customer cooperation and willingness to share information.
• It stands a risk of becoming outdated as industries and customer needs evolve.

What Are the Types of Case Studies?

There are 7 main types of case studies. They include;

• Illustrative case study.
• Instrumental case study.
• Intrinsic case study.
• Descriptive case study.
• Explanatory case study.
• Exploratory case study.
• Collective case study.

How Long Should a Case Study Be?

The ideal length of your case study is between 500 - 1500 words or 1-3 pages. Certain factors like your target audience, goal or the amount of detail you want to share may influence the length of your case study. This infographic has powerful tips for designing winning case studies

What Is the Difference Between a Case Study and an Example?

Case studies provide a detailed narrative of how your product or service was used to solve a problem. Examples are general illustrations and are not necessarily real-life scenarios.

Case studies are often used for marketing purposes, attracting potential customers and building trust. Examples, on the other hand, are primarily used to simplify or clarify complex concepts.

Where Can I Find Case Study Examples?

You can easily find many case study examples online and in industry publications. Many companies, including Visme, share case studies on their websites to showcase how their products or services have helped clients achieve success. You can also search online libraries and professional organizations for case studies related to your specific industry or field.

If you need professionally-designed, customizable case study templates to create your own, Visme's template library is one of the best places to look. These templates include all the essential sections of a case study and high-quality content to help you create case studies that position your business as an industry leader.

Get More Out Of Your Case Studies With Visme

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The Ultimate Guide to Qualitative Research - Part 1: The Basics

• Introduction and overview
• What is qualitative research?
• What is qualitative data?
• Examples of qualitative data
• Qualitative vs. quantitative research
• Mixed methods
• Qualitative research preparation
• Theoretical perspective
• Theoretical framework
• Literature reviews

Research question

• Conceptual framework
• Conceptual vs. theoretical framework

Data collection

• Qualitative research methods
• Focus groups
• Observational research

What is a case study?

Applications for case study research, what is a good case study, process of case study design, benefits and limitations of case studies.

• Ethnographical research
• Ethical considerations
• Confidentiality and privacy
• Power dynamics
• Reflexivity

Case studies

Case studies are essential to qualitative research , offering a lens through which researchers can investigate complex phenomena within their real-life contexts. This chapter explores the concept, purpose, applications, examples, and types of case studies and provides guidance on how to conduct case study research effectively.

Whereas quantitative methods look at phenomena at scale, case study research looks at a concept or phenomenon in considerable detail. While analyzing a single case can help understand one perspective regarding the object of research inquiry, analyzing multiple cases can help obtain a more holistic sense of the topic or issue. Let's provide a basic definition of a case study, then explore its characteristics and role in the qualitative research process.

Definition of a case study

A case study in qualitative research is a strategy of inquiry that involves an in-depth investigation of a phenomenon within its real-world context. It provides researchers with the opportunity to acquire an in-depth understanding of intricate details that might not be as apparent or accessible through other methods of research. The specific case or cases being studied can be a single person, group, or organization – demarcating what constitutes a relevant case worth studying depends on the researcher and their research question .

Among qualitative research methods , a case study relies on multiple sources of evidence, such as documents, artifacts, interviews , or observations , to present a complete and nuanced understanding of the phenomenon under investigation. The objective is to illuminate the readers' understanding of the phenomenon beyond its abstract statistical or theoretical explanations.

Characteristics of case studies

Case studies typically possess a number of distinct characteristics that set them apart from other research methods. These characteristics include a focus on holistic description and explanation, flexibility in the design and data collection methods, reliance on multiple sources of evidence, and emphasis on the context in which the phenomenon occurs.

Furthermore, case studies can often involve a longitudinal examination of the case, meaning they study the case over a period of time. These characteristics allow case studies to yield comprehensive, in-depth, and richly contextualized insights about the phenomenon of interest.

The role of case studies in research

Case studies hold a unique position in the broader landscape of research methods aimed at theory development. They are instrumental when the primary research interest is to gain an intensive, detailed understanding of a phenomenon in its real-life context.

In addition, case studies can serve different purposes within research - they can be used for exploratory, descriptive, or explanatory purposes, depending on the research question and objectives. This flexibility and depth make case studies a valuable tool in the toolkit of qualitative researchers.

Remember, a well-conducted case study can offer a rich, insightful contribution to both academic and practical knowledge through theory development or theory verification, thus enhancing our understanding of complex phenomena in their real-world contexts.

What is the purpose of a case study?

Case study research aims for a more comprehensive understanding of phenomena, requiring various research methods to gather information for qualitative analysis . Ultimately, a case study can allow the researcher to gain insight into a particular object of inquiry and develop a theoretical framework relevant to the research inquiry.

Why use case studies in qualitative research?

Using case studies as a research strategy depends mainly on the nature of the research question and the researcher's access to the data.

Conducting case study research provides a level of detail and contextual richness that other research methods might not offer. They are beneficial when there's a need to understand complex social phenomena within their natural contexts.

The explanatory, exploratory, and descriptive roles of case studies

Case studies can take on various roles depending on the research objectives. They can be exploratory when the research aims to discover new phenomena or define new research questions; they are descriptive when the objective is to depict a phenomenon within its context in a detailed manner; and they can be explanatory if the goal is to understand specific relationships within the studied context. Thus, the versatility of case studies allows researchers to approach their topic from different angles, offering multiple ways to uncover and interpret the data .

The impact of case studies on knowledge development

Case studies play a significant role in knowledge development across various disciplines. Analysis of cases provides an avenue for researchers to explore phenomena within their context based on the collected data.

This can result in the production of rich, practical insights that can be instrumental in both theory-building and practice. Case studies allow researchers to delve into the intricacies and complexities of real-life situations, uncovering insights that might otherwise remain hidden.

Types of case studies

In qualitative research , a case study is not a one-size-fits-all approach. Depending on the nature of the research question and the specific objectives of the study, researchers might choose to use different types of case studies. These types differ in their focus, methodology, and the level of detail they provide about the phenomenon under investigation.

Understanding these types is crucial for selecting the most appropriate approach for your research project and effectively achieving your research goals. Let's briefly look at the main types of case studies.

Exploratory case studies

Exploratory case studies are typically conducted to develop a theory or framework around an understudied phenomenon. They can also serve as a precursor to a larger-scale research project. Exploratory case studies are useful when a researcher wants to identify the key issues or questions which can spur more extensive study or be used to develop propositions for further research. These case studies are characterized by flexibility, allowing researchers to explore various aspects of a phenomenon as they emerge, which can also form the foundation for subsequent studies.

Descriptive case studies

Descriptive case studies aim to provide a complete and accurate representation of a phenomenon or event within its context. These case studies are often based on an established theoretical framework, which guides how data is collected and analyzed. The researcher is concerned with describing the phenomenon in detail, as it occurs naturally, without trying to influence or manipulate it.

Explanatory case studies

Explanatory case studies are focused on explanation - they seek to clarify how or why certain phenomena occur. Often used in complex, real-life situations, they can be particularly valuable in clarifying causal relationships among concepts and understanding the interplay between different factors within a specific context.

Intrinsic, instrumental, and collective case studies

These three categories of case studies focus on the nature and purpose of the study. An intrinsic case study is conducted when a researcher has an inherent interest in the case itself. Instrumental case studies are employed when the case is used to provide insight into a particular issue or phenomenon. A collective case study, on the other hand, involves studying multiple cases simultaneously to investigate some general phenomena.

Each type of case study serves a different purpose and has its own strengths and challenges. The selection of the type should be guided by the research question and objectives, as well as the context and constraints of the research.

The flexibility, depth, and contextual richness offered by case studies make this approach an excellent research method for various fields of study. They enable researchers to investigate real-world phenomena within their specific contexts, capturing nuances that other research methods might miss. Across numerous fields, case studies provide valuable insights into complex issues.

Critical information systems research

Case studies provide a detailed understanding of the role and impact of information systems in different contexts. They offer a platform to explore how information systems are designed, implemented, and used and how they interact with various social, economic, and political factors. Case studies in this field often focus on examining the intricate relationship between technology, organizational processes, and user behavior, helping to uncover insights that can inform better system design and implementation.

Health research

Health research is another field where case studies are highly valuable. They offer a way to explore patient experiences, healthcare delivery processes, and the impact of various interventions in a real-world context.

Case studies can provide a deep understanding of a patient's journey, giving insights into the intricacies of disease progression, treatment effects, and the psychosocial aspects of health and illness.

Asthma research studies

Specifically within medical research, studies on asthma often employ case studies to explore the individual and environmental factors that influence asthma development, management, and outcomes. A case study can provide rich, detailed data about individual patients' experiences, from the triggers and symptoms they experience to the effectiveness of various management strategies. This can be crucial for developing patient-centered asthma care approaches.

Other fields

Apart from the fields mentioned, case studies are also extensively used in business and management research, education research, and political sciences, among many others. They provide an opportunity to delve into the intricacies of real-world situations, allowing for a comprehensive understanding of various phenomena.

Case studies, with their depth and contextual focus, offer unique insights across these varied fields. They allow researchers to illuminate the complexities of real-life situations, contributing to both theory and practice.

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Understanding the key elements of case study design is crucial for conducting rigorous and impactful case study research. A well-structured design guides the researcher through the process, ensuring that the study is methodologically sound and its findings are reliable and valid. The main elements of case study design include the research question , propositions, units of analysis, and the logic linking the data to the propositions.

The research question is the foundation of any research study. A good research question guides the direction of the study and informs the selection of the case, the methods of collecting data, and the analysis techniques. A well-formulated research question in case study research is typically clear, focused, and complex enough to merit further detailed examination of the relevant case(s).

Propositions

Propositions, though not necessary in every case study, provide a direction by stating what we might expect to find in the data collected. They guide how data is collected and analyzed by helping researchers focus on specific aspects of the case. They are particularly important in explanatory case studies, which seek to understand the relationships among concepts within the studied phenomenon.

Units of analysis

The unit of analysis refers to the case, or the main entity or entities that are being analyzed in the study. In case study research, the unit of analysis can be an individual, a group, an organization, a decision, an event, or even a time period. It's crucial to clearly define the unit of analysis, as it shapes the qualitative data analysis process by allowing the researcher to analyze a particular case and synthesize analysis across multiple case studies to draw conclusions.

Argumentation

This refers to the inferential model that allows researchers to draw conclusions from the data. The researcher needs to ensure that there is a clear link between the data, the propositions (if any), and the conclusions drawn. This argumentation is what enables the researcher to make valid and credible inferences about the phenomenon under study.

Understanding and carefully considering these elements in the design phase of a case study can significantly enhance the quality of the research. It can help ensure that the study is methodologically sound and its findings contribute meaningful insights about the case.

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Conducting a case study involves several steps, from defining the research question and selecting the case to collecting and analyzing data . This section outlines these key stages, providing a practical guide on how to conduct case study research.

Defining the research question

The first step in case study research is defining a clear, focused research question. This question should guide the entire research process, from case selection to analysis. It's crucial to ensure that the research question is suitable for a case study approach. Typically, such questions are exploratory or descriptive in nature and focus on understanding a phenomenon within its real-life context.

Selecting and defining the case

The selection of the case should be based on the research question and the objectives of the study. It involves choosing a unique example or a set of examples that provide rich, in-depth data about the phenomenon under investigation. After selecting the case, it's crucial to define it clearly, setting the boundaries of the case, including the time period and the specific context.

Previous research can help guide the case study design. When considering a case study, an example of a case could be taken from previous case study research and used to define cases in a new research inquiry. Considering recently published examples can help understand how to select and define cases effectively.

Developing a detailed case study protocol

A case study protocol outlines the procedures and general rules to be followed during the case study. This includes the data collection methods to be used, the sources of data, and the procedures for analysis. Having a detailed case study protocol ensures consistency and reliability in the study.

The protocol should also consider how to work with the people involved in the research context to grant the research team access to collecting data. As mentioned in previous sections of this guide, establishing rapport is an essential component of qualitative research as it shapes the overall potential for collecting and analyzing data.

Collecting data

Gathering data in case study research often involves multiple sources of evidence, including documents, archival records, interviews, observations, and physical artifacts. This allows for a comprehensive understanding of the case. The process for gathering data should be systematic and carefully documented to ensure the reliability and validity of the study.

Analyzing and interpreting data

The next step is analyzing the data. This involves organizing the data , categorizing it into themes or patterns , and interpreting these patterns to answer the research question. The analysis might also involve comparing the findings with prior research or theoretical propositions.

Writing the case study report

The final step is writing the case study report . This should provide a detailed description of the case, the data, the analysis process, and the findings. The report should be clear, organized, and carefully written to ensure that the reader can understand the case and the conclusions drawn from it.

Each of these steps is crucial in ensuring that the case study research is rigorous, reliable, and provides valuable insights about the case.

The type, depth, and quality of data in your study can significantly influence the validity and utility of the study. In case study research, data is usually collected from multiple sources to provide a comprehensive and nuanced understanding of the case. This section will outline the various methods of collecting data used in case study research and discuss considerations for ensuring the quality of the data.

Interviews are a common method of gathering data in case study research. They can provide rich, in-depth data about the perspectives, experiences, and interpretations of the individuals involved in the case. Interviews can be structured , semi-structured , or unstructured , depending on the research question and the degree of flexibility needed.

Observations

Observations involve the researcher observing the case in its natural setting, providing first-hand information about the case and its context. Observations can provide data that might not be revealed in interviews or documents, such as non-verbal cues or contextual information.

Documents and artifacts

Documents and archival records provide a valuable source of data in case study research. They can include reports, letters, memos, meeting minutes, email correspondence, and various public and private documents related to the case.

These records can provide historical context, corroborate evidence from other sources, and offer insights into the case that might not be apparent from interviews or observations.

Physical artifacts refer to any physical evidence related to the case, such as tools, products, or physical environments. These artifacts can provide tangible insights into the case, complementing the data gathered from other sources.

Ensuring the quality of data collection

Determining the quality of data in case study research requires careful planning and execution. It's crucial to ensure that the data is reliable, accurate, and relevant to the research question. This involves selecting appropriate methods of collecting data, properly training interviewers or observers, and systematically recording and storing the data. It also includes considering ethical issues related to collecting and handling data, such as obtaining informed consent and ensuring the privacy and confidentiality of the participants.

Data analysis

Analyzing case study research involves making sense of the rich, detailed data to answer the research question. This process can be challenging due to the volume and complexity of case study data. However, a systematic and rigorous approach to analysis can ensure that the findings are credible and meaningful. This section outlines the main steps and considerations in analyzing data in case study research.

Organizing the data

The first step in the analysis is organizing the data. This involves sorting the data into manageable sections, often according to the data source or the theme. This step can also involve transcribing interviews, digitizing physical artifacts, or organizing observational data.

Categorizing and coding the data

Once the data is organized, the next step is to categorize or code the data. This involves identifying common themes, patterns, or concepts in the data and assigning codes to relevant data segments. Coding can be done manually or with the help of software tools, and in either case, qualitative analysis software can greatly facilitate the entire coding process. Coding helps to reduce the data to a set of themes or categories that can be more easily analyzed.

Identifying patterns and themes

After coding the data, the researcher looks for patterns or themes in the coded data. This involves comparing and contrasting the codes and looking for relationships or patterns among them. The identified patterns and themes should help answer the research question.

Interpreting the data

Once patterns and themes have been identified, the next step is to interpret these findings. This involves explaining what the patterns or themes mean in the context of the research question and the case. This interpretation should be grounded in the data, but it can also involve drawing on theoretical concepts or prior research.

Verification of the data

The last step in the analysis is verification. This involves checking the accuracy and consistency of the analysis process and confirming that the findings are supported by the data. This can involve re-checking the original data, checking the consistency of codes, or seeking feedback from research participants or peers.

Like any research method , case study research has its strengths and limitations. Researchers must be aware of these, as they can influence the design, conduct, and interpretation of the study.

Understanding the strengths and limitations of case study research can also guide researchers in deciding whether this approach is suitable for their research question . This section outlines some of the key strengths and limitations of case study research.

Benefits include the following:

• Rich, detailed data: One of the main strengths of case study research is that it can generate rich, detailed data about the case. This can provide a deep understanding of the case and its context, which can be valuable in exploring complex phenomena.
• Flexibility: Case study research is flexible in terms of design , data collection , and analysis . A sufficient degree of flexibility allows the researcher to adapt the study according to the case and the emerging findings.
• Real-world context: Case study research involves studying the case in its real-world context, which can provide valuable insights into the interplay between the case and its context.
• Multiple sources of evidence: Case study research often involves collecting data from multiple sources , which can enhance the robustness and validity of the findings.

On the other hand, researchers should consider the following limitations:

• Generalizability: A common criticism of case study research is that its findings might not be generalizable to other cases due to the specificity and uniqueness of each case.
• Time and resource intensive: Case study research can be time and resource intensive due to the depth of the investigation and the amount of collected data.
• Complexity of analysis: The rich, detailed data generated in case study research can make analyzing the data challenging.
• Subjectivity: Given the nature of case study research, there may be a higher degree of subjectivity in interpreting the data , so researchers need to reflect on this and transparently convey to audiences how the research was conducted.

Being aware of these strengths and limitations can help researchers design and conduct case study research effectively and interpret and report the findings appropriately.

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Blog Graphic Design 15+ Professional Case Study Examples [Design Tips + Templates]

15+ Professional Case Study Examples [Design Tips + Templates]

Written by: Alice Corner Jan 12, 2023

Have you ever bought something — within the last 10 years or so — without reading its reviews or without a recommendation or prior experience of using it?

If the answer is no — or at least, rarely — you get my point.

Positive reviews matter for selling to regular customers, and for B2B or SaaS businesses, detailed case studies are important too.

Wondering how to craft a compelling case study ? No worries—I’ve got you covered with 15 marketing case study templates , helpful tips, and examples to ensure your case study converts effectively.

Click to jump ahead:

• What is a Case Study?

Business Case Study Examples

Simple case study examples.

• Marketing Case Study Examples

Sales Case Study Examples

• Case Study FAQs

What is a case study?

A case study is an in-depth, detailed analysis of a specific real-world situation. For example, a case study can be about an individual, group, event, organization, or phenomenon. The purpose of a case study is to understand its complexities and gain insights into a particular instance or situation.

In the context of a business, however, case studies take customer success stories and explore how they use your product to help them achieve their business goals.

As well as being valuable marketing tools , case studies are a good way to evaluate your product as it allows you to objectively examine how others are using it.

It’s also a good way to interview your customers about why they work with you.

Related: What is a Case Study? [+6 Types of Case Studies]

Marketing Case Study Template

A marketing case study showcases how your product or services helped potential clients achieve their business goals. You can also create case studies of internal, successful marketing projects. A marketing case study typically includes:

• Company background and history
• The challenge
• How you helped
• Specific actions taken
• Visuals or Data
• Client testimonials

Here’s an example of a marketing case study template:

Whether you’re a B2B or B2C company, business case studies can be a powerful resource to help with your sales, marketing, and even internal departmental awareness.

Business and business management case studies should encompass strategic insights alongside anecdotal and qualitative findings, like in the business case study examples below.

Conduct a B2B case study by researching the company holistically

When it comes to writing a case study, make sure you approach the company holistically and analyze everything from their social media to their sales.

Think about every avenue your product or service has been of use to your case study company, and ask them about the impact this has had on their wider company goals.

In business case study examples like the one above, we can see that the company has been thought about holistically simply by the use of icons.

By combining social media icons with icons that show in-person communication we know that this is a well-researched and thorough case study.

This case study report example could also be used within an annual or end-of-year report.

Highlight the key takeaway from your marketing case study

To create a compelling case study, identify the key takeaways from your research. Use catchy language to sum up this information in a sentence, and present this sentence at the top of your page.

This is “at a glance” information and it allows people to gain a top-level understanding of the content immediately. 

You can use a large, bold, contrasting font to help this information stand out from the page and provide interest.

Learn  how to choose fonts  effectively with our Venngage guide and once you’ve done that.

Upload your fonts and  brand colors  to Venngage using the  My Brand Kit  tool and see them automatically applied to your designs.

The heading is the ideal place to put the most impactful information, as this is the first thing that people will read.

In this example, the stat of “Increase[d] lead quality by 90%” is used as the header. It makes customers want to read more to find out how exactly lead quality was increased by such a massive amount.

If you’re conducting an in-person interview, you could highlight a direct quote or insight provided by your interview subject.

Pick out a catchy sentence or phrase, or the key piece of information your interview subject provided and use that as a way to draw a potential customer in.

Use charts to visualize data in your business case studies

Charts are an excellent way to visualize data and to bring statistics and information to life. Charts make information easier to understand and to illustrate trends or patterns.

Making charts is even easier with Venngage.

In this consulting case study example, we can see that a chart has been used to demonstrate the difference in lead value within the Lead Elves case study.

Adding a chart here helps break up the information and add visual value to the case study. 

Using charts in your case study can also be useful if you’re creating a project management case study.

You could use a Gantt chart or a project timeline to show how you have managed the project successfully.

Use direct quotes to build trust in your marketing case study

To add an extra layer of authenticity you can include a direct quote from your customer within your case study.

According to research from Nielsen , 92% of people will trust a recommendation from a peer and 70% trust recommendations even if they’re from somebody they don’t know.

So if you have a customer or client who can’t stop singing your praises, make sure you get a direct quote from them and include it in your case study.

You can either lift part of the conversation or interview, or you can specifically request a quote. Make sure to ask for permission before using the quote.

This design uses a bright contrasting speech bubble to show that it includes a direct quote, and helps the quote stand out from the rest of the text.

This will help draw the customer’s attention directly to the quote, in turn influencing them to use your product or service.

Less is often more, and this is especially true when it comes to creating designs. Whilst you want to create a professional-looking, well-written and design case study – there’s no need to overcomplicate things.

These simple case study examples show that smart clean designs and informative content can be an effective way to showcase your successes.

Use colors and fonts to create a professional-looking case study

Business case studies shouldn’t be boring. In fact, they should be beautifully and professionally designed.

This means the normal rules of design apply. Use fonts, colors, and icons to create an interesting and visually appealing case study.

In this case study example, we can see how multiple fonts have been used to help differentiate between the headers and content, as well as complementary colors and eye-catching icons.

Marketing case study examples

Marketing case studies are incredibly useful for showing your marketing successes. Every successful marketing campaign relies on influencing a consumer’s behavior, and a great case study can be a great way to spotlight your biggest wins.

In the marketing case study examples below, a variety of designs and techniques to create impactful and effective case studies.

Show off impressive results with a bold marketing case study

Case studies are meant to show off your successes, so make sure you feature your positive results prominently. Using bold and bright colors as well as contrasting shapes, large bold fonts, and simple icons is a great way to highlight your wins.

In well-written case study examples like the one below, the big wins are highlighted on the second page with a bright orange color and are highlighted in circles.

Making the important data stand out is especially important when attracting a prospective customer with marketing case studies.

Use a simple but clear layout in your case study

Using a simple layout in your case study can be incredibly effective, like in the example of a case study below.

Keeping a clean white background, and using slim lines to help separate the sections is an easy way to format your case study.

Making the information clear helps draw attention to the important results, and it helps improve the  accessibility of the design .

Business case study examples like this would sit nicely within a larger report, with a consistent layout throughout.

Use visuals and icons to create an engaging and branded business case study

Nobody wants to read pages and pages of text — and that’s why Venngage wants to help you communicate your ideas visually.

Using icons, graphics, photos, or patterns helps create a much more engaging design. 

With this Blue Cap case study icons, colors, and impactful pattern designs have been used to create an engaging design that catches your eye.

Use a monochromatic color palette to create a professional and clean case study

Let your research shine by using a monochromatic and minimalistic color palette.

By sticking to one color, and leaving lots of blank space you can ensure your design doesn’t distract a potential customer from your case study content.

In this case study on Polygon Media, the design is simple and professional, and the layout allows the prospective customer to follow the flow of information.

The gradient effect on the left-hand column helps break up the white background and adds an interesting visual effect.

Did you know you can generate an accessible color palette with Venngage? Try our free accessible color palette generator today and create a case study that delivers and looks pleasant to the eye:

Add long term goals in your case study

When creating a case study it’s a great idea to look at both the short term and the long term goals of the company to gain the best understanding possible of the insights they provide.

Short-term goals will be what the company or person hopes to achieve in the next few months, and long-term goals are what the company hopes to achieve in the next few years.

Check out this modern pattern design example of a case study below:

In this case study example, the short and long-term goals are clearly distinguished by light blue boxes and placed side by side so that they are easy to compare.

Use a strong introductory paragraph to outline the overall strategy and goals before outlining the specific short-term and long-term goals to help with clarity.

This strategy can also be handy when creating a consulting case study.

Use data to make concrete points about your sales and successes

When conducting any sort of research stats, facts, and figures are like gold dust (aka, really valuable).

Being able to quantify your findings is important to help understand the information fully. Saying sales increased 10% is much more effective than saying sales increased.

While sales dashboards generally tend it make it all about the numbers and charts, in sales case study examples, like this one, the key data and findings can be presented with icons. This contributes to the potential customer’s better understanding of the report.

They can clearly comprehend the information and it shows that the case study has been well researched.

Use emotive, persuasive, or action based language in your marketing case study

Create a compelling case study by using emotive, persuasive and action-based language when customizing your case study template.

In this well-written case study example, we can see that phrases such as “Results that Speak Volumes” and “Drive Sales” have been used.

Using persuasive language like you would in a blog post. It helps inspire potential customers to take action now.

Keep your potential customers in mind when creating a customer case study for marketing

82% of marketers use case studies in their marketing  because it’s such an effective tool to help quickly gain customers’ trust and to showcase the potential of your product.

Why are case studies such an important tool in content marketing?

By writing a case study you’re telling potential customers that they can trust you because you’re showing them that other people do.

Not only that, but if you have a SaaS product, business case studies are a great way to show how other people are effectively using your product in their company.

In this case study, Network is demonstrating how their product has been used by Vortex Co. with great success; instantly showing other potential customers that their tool works and is worth using.

Related: 10+ Case Study Infographic Templates That Convert

Case studies are particularly effective as a sales technique.

A sales case study is like an extended customer testimonial, not only sharing opinions of your product – but showcasing the results you helped your customer achieve.

Make impactful statistics pop in your sales case study

Writing a case study doesn’t mean using text as the only medium for sharing results.

You should use icons to highlight areas of your research that are particularly interesting or relevant, like in this example of a case study:

Icons are a great way to help summarize information quickly and can act as visual cues to help draw the customer’s attention to certain areas of the page.

In some of the business case study examples above, icons are used to represent the impressive areas of growth and are presented in a way that grabs your attention.

Use high contrast shapes and colors to draw attention to key information in your sales case study

Help the key information stand out within your case study by using high contrast shapes and colors.

Use a complementary or contrasting color, or use a shape such as a rectangle or a circle for maximum impact.

This design has used dark blue rectangles to help separate the information and make it easier to read.

Coupled with icons and strong statistics, this information stands out on the page and is easily digestible and retainable for a potential customer.

Case Study Examples Summary

Once you have created your case study, it’s best practice to update your examples on a regular basis to include up-to-date statistics, data, and information.

You should update your business case study examples often if you are sharing them on your website .

It’s also important that your case study sits within your brand guidelines – find out how Venngage’s My Brand Kit tool can help you create consistently branded case study templates.

Case studies are important marketing tools – but they shouldn’t be the only tool in your toolbox. Content marketing is also a valuable way to earn consumer trust.

Case Study FAQ

Why should you write a case study.

Case studies are an effective marketing technique to engage potential customers and help build trust.

By producing case studies featuring your current clients or customers, you are showcasing how your tool or product can be used. You’re also showing that other people endorse your product.

In addition to being a good way to gather positive testimonials from existing customers , business case studies are good educational resources and can be shared amongst your company or team, and used as a reference for future projects.

How should you write a case study?

To create a great case study, you should think strategically. The first step, before starting your case study research, is to think about what you aim to learn or what you aim to prove.

You might be aiming to learn how a company makes sales or develops a new product. If this is the case, base your questions around this.

You can learn more about writing a case study  from our extensive guide.

Related: How to Present a Case Study like a Pro (With Examples)

Some good questions you could ask would be:

• Why do you use our tool or service?
• How often do you use our tool or service?
• What does the process of using our product look like to you?
• If our product didn’t exist, what would you be doing instead?
• What is the number one benefit you’ve found from using our tool?

You might also enjoy:

• 12 Essential Consulting Templates For Marketing, Planning and Branding
• Best Marketing Strategies for Consultants and Freelancers in 2019 [Study + Infographic]

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28 Case Study Examples Every Marketer Should See

Published: March 08, 2023

Putting together a compelling case study is one of the most powerful strategies for showcasing your product and attracting future customers. But it's not easy to create case studies that your audience can’t wait to read.

In this post, we’ll go over the definition of a case study and the best examples to inspire you.

What is a case study?

A case study is a detailed story of something your company did. It includes a beginning — often discussing a conflict, an explanation of what happened next, and a resolution that explains how the company solved or improved on something.

A case study proves how your product has helped other companies by demonstrating real-life results. Not only that, but marketing case studies with solutions typically contain quotes from the customer. This means that they’re not just ads where you praise your own product. Rather, other companies are praising your company — and there’s no stronger marketing material than a verbal recommendation or testimonial. A great case study is also filled with research and stats to back up points made about a project's results.

There are myriad ways to use case studies in your marketing strategy . From featuring them on your website to including them in a sales presentation, a case study is a strong, persuasive tool that shows customers why they should work with you — straight from another customer. Writing one from scratch is hard, though, which is why we’ve created a collection of case study templates for you to get started.

Fill out the form below to access the free case study templates.

Free Case Study Templates

Showcase your company's success using these three free case study templates.

• Data-Driven Case Study Template
• Product-Specific Case Study Template
• General Case Study Template

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There’s no better way to generate more leads than by writing case studies . But without case study examples to draw inspiration from, it can be difficult to write impactful studies that convince visitors to submit a form.

Marketing Case Study Examples

To help you create an attractive and high-converting case study, we've put together a list of some of our favorites. This list includes famous case studies in marketing, technology, and business.

These studies can show you how to frame your company offers in a way that is both meaningful and useful to your audience. So, take a look, and let these examples inspire your next brilliant case study design.

These marketing case studies with solutions show the value proposition of each product. They also show how each company benefited in both the short and long term using quantitative data. In other words, you don’t get just nice statements, like "This company helped us a lot." You see actual change within the firm through numbers and figures.

You can put your learnings into action with HubSpot's Free Case Study Templates . Available as custom designs and text-based documents, you can upload these templates to your CMS or send them to prospects as you see fit.

1. " How Handled Scaled from Zero to 121 Locations with the Help of HubSpot ," by HubSpot

What's interesting about this case study is the way it leads with the customer. That reflects a major HubSpot cornerstone, which is to always solve for the customer first. The copy leads with a brief description of why the CEO of Handled founded the company and why he thought Handled could benefit from adopting a CRM. The case study also opens up with one key data point about Handled’s success using HubSpot, namely that it grew to 121 locations.

Notice that this case study uses mixed media. Yes, there is a short video, but it's elaborated upon in the other text on the page. So while your case studies can use one or the other, don't be afraid to combine written copy with visuals to emphasize the project's success.

Key Learnings from the HubSpot Case Study Example

• Give the case study a personal touch by focusing on the CEO rather than the company itself.
• Use multimedia to engage website visitors as they read the case study.

2. " The Whole Package ," by IDEO

Here's a design company that knows how to lead with simplicity in its case studies. As soon as the visitor arrives at the page, they’re greeted with a big, bold photo and the title of the case study — which just so happens to summarize how IDEO helped its client. It summarizes the case study in three snippets: The challenge, the impact, and the outcome.

Immediately, IDEO communicates its impact — the company partnered with H&M to remove plastic from its packaging — but it doesn't stop there. As the user scrolls down, the challenge, impact, and progress are elaborated upon with comprehensive (but not overwhelming) copy that outlines what that process looked like, replete with quotes and intriguing visuals.

Key Learnings from the IDEO Case Study Example

• Split up the takeaways of your case studies into bite-sized sections.
• Always use visuals and images to enrich the case study experience, especially if it’s a comprehensive case study.

3. " Rozum Robotics intensifies its PR game with Awario ," by Awario

In this case study, Awario greets the user with a summary straight away — so if you’re feeling up to reading the entire case study, you can scan the snapshot and understand how the company serves its customers. The case study then includes jump links to several sections, such as "Company Profile," "Rozum Robotics' Pains," "Challenge," "Solution," and "Results and Improvements."

The sparse copy and prominent headings show that you don’t need a lot of elaborate information to show the value of your products and services. Like the other case study examples on this list, it includes visuals and quotes to demonstrate the effectiveness of the company’s efforts. The case study ends with a bulleted list that shows the results.

Key Learnings from the Awario Robotics Case Study Example

• Create a table of contents to make your case study easier to navigate.
• Include a bulleted list of the results you achieved for your client.

4. " Chevrolet DTU ," by Carol H. Williams

If you’ve worked with a company that’s well-known, use only the name in the title — like Carol H. Williams, one of the nation’s top advertising agencies, does here. The "DTU," stands for "Discover the Unexpected." It generates interest because you want to find out what the initials mean.

They keep your interest in this case study by using a mixture of headings, images, and videos to describe the challenges, objectives, and solutions of the project. The case study closes with a summary of the key achievements that Chevrolet’s DTU Journalism Fellows reached during the project.

Key Learnings from the Carol H. Williams Case Study Example

• If you’ve worked with a big brand before, consider only using the name in the title — just enough to pique interest.
• Use a mixture of headings and subheadings to guide users through the case study.

5. " How Fractl Earned Links from 931 Unique Domains for Porch.com in a Single Year ," by Fractl

Fractl uses both text and graphic design in their Porch.com case study to immerse the viewer in a more interesting user experience. For instance, as you scroll, you'll see the results are illustrated in an infographic-design form as well as the text itself.

Further down the page, they use icons like a heart and a circle to illustrate their pitch angles, and graphs to showcase their results. Rather than writing which publications have mentioned Porch.com during Fractl’s campaign, they incorporated the media outlets’ icons for further visual diversity.

Key Learnings from the Fractl Case Study Example

• Let pictures speak for you by incorporating graphs, logos, and icons all throughout the case study.
• Start the case study by right away stating the key results, like Fractl does, instead of putting the results all the way at the bottom.

6. " The Met ," by Fantasy

What's the best way to showcase the responsiveness and user interface of a website? Probably by diving right into it with a series of simple showcases— which is exactly what Fantasy does on their case study page for the Metropolitan Museum of Art. They keep the page simple and clean, inviting you to review their redesign of the Met’s website feature-by-feature.

Each section is simple, showing a single piece of the new website's interface so that users aren’t overwhelmed with information and can focus on what matters most.

If you're more interested in text, you can read the objective for each feature. Fantasy understands that, as a potential customer, this is all you need to know. Scrolling further, you're greeted with a simple "Contact Us" CTA.

Key Learnings from the Fantasy Case Study Example

• You don’t have to write a ton of text to create a great case study. Focus on the solution you delivered itself.
• Include a CTA at the bottom inviting visitors to contact you.

7. " Rovio: How Rovio Grew Into a Gaming Superpower ," by App Annie

If your client had a lot of positive things to say about you, take a note from App Annie’s Rovio case study and open up with a quote from your client. The case study also closes with a quote, so that the case study doesn’t seem like a promotion written by your marketing team but a story that’s taken straight from your client’s mouth. It includes a photo of a Rovio employee, too.

Another thing this example does well? It immediately includes a link to the product that Rovio used (namely, App Annie Intelligence) at the top of the case study. The case study closes with a call-to-action button prompting users to book a demo.

Key Learnings from the App Annie Case Study Example

• Feature quotes from your client at the beginning and end of the case study.
• Include a mention of the product right at the beginning and prompt users to learn more about the product.

8. " Embracing first-party data: 3 success stories from HubSpot ," by Think with Google

Google takes a different approach to text-focused case studies by choosing three different companies to highlight.

The case study is clean and easily scannable. It has sections for each company, with quotes and headers that clarify the way these three distinct stories connect. The simple format also uses colors and text that align with the Google brand.

Another differentiator is the focus on data. This case study is less than a thousand words, but it's packed with useful data points. Data-driven insights quickly and clearly show how the value of leveraging first-party data while prioritizing consumer privacy.

Key Learnings from the Think with Google Case Study Example

• A case study doesn’t need to be long or complex to be powerful.
• Clear data points are a quick and effective way to prove value.

9. " In-Depth Performance Marketing Case Study ," by Switch

Switch is an international marketing agency based in Malta that knocks it out of the park with this case study. Its biggest challenge is effectively communicating what it did for its client without ever revealing the client’s name. It also effectively keeps non-marketers in the loop by including a glossary of terms on page 4.

The PDF case study reads like a compelling research article, including titles like "In-Depth Performance Marketing Case Study," "Scenario," and "Approach," so that readers get a high-level overview of what the client needed and why they approached Switch. It also includes a different page for each strategy. For instance, if you’d only be interested in hiring Switch for optimizing your Facebook ads, you can skip to page 10 to see how they did it.

The PDF is fourteen pages long but features big fonts and plenty of white space, so viewers can easily skim it in only a few minutes.

Key Learnings from the Switch Case Study Example

• If you want to go into specialized information, include a glossary of terms so that non-specialists can easily understand.
• Close with a CTA page in your case study PDF and include contact information for prospective clients.

10. " Gila River ," by OH Partners

Let pictures speak for you, like OH Partners did in this case study. While you’ll quickly come across a heading and some text when you land on this case study page, you’ll get the bulk of the case study through examples of actual work OH Partners did for its client. You will see OH Partners’ work in a billboard, magazine, and video. This communicates to website visitors that if they work with OH Partners, their business will be visible everywhere.

And like the other case studies here, it closes with a summary of what the firm achieved for its client in an eye-catching way.

Key Learnings from the OH Partners Case Study Example

• Let the visuals speak by including examples of the actual work you did for your client — which is especially useful for branding and marketing agencies.
• Always close out with your achievements and how they impacted your client.

11. " Facing a Hater ," by Digitas

Digitas' case study page for Sprite’s #ILOVEYOUHATER campaign keeps it brief while communicating the key facts of Digitas’ work for the popular soda brand. The page opens with an impactful image of a hundred people facing a single man. It turns out, that man is the biggest "bully" in Argentina, and the people facing him are those whom he’s bullied before.

Scrolling down, it's obvious that Digitas kept Sprite at the forefront of their strategy, but more than that, they used real people as their focal point. They leveraged the Twitter API to pull data from Tweets that people had actually tweeted to find the identity of the biggest "hater" in the country. That turned out to be @AguanteElCofler, a Twitter user who has since been suspended.

Key Learnings from the Digitas Case Study Example

• If a video was part of your work for your client, be sure to include the most impactful screenshot as the heading.
• Don’t be afraid to provide details on how you helped your client achieve their goals, including the tools you leveraged.

12. " Better Experiences for All ," by HermanMiller

HermanMiller sells sleek, utilitarian furniture with no frills and extreme functionality, and that ethos extends to its case study page for a hospital in Dubai.

What first attracted me to this case study was the beautiful video at the top and the clean user experience. User experience matters a lot in a case study. It determines whether users will keep reading or leave. Another notable aspect of this case study is that the video includes closed-captioning for greater accessibility, and users have the option of expanding the CC and searching through the text.

HermanMiller’s case study also offers an impressive amount of information packed in just a few short paragraphs for those wanting to understand the nuances of their strategy. It closes out with a quote from their client and, most importantly, the list of furniture products that the hospital purchased from the brand.

Key Learnings from the HermanMiller Case Study Example

• Close out with a list of products that users can buy after reading the case study.
• Include accessibility features such as closed captioning and night mode to make your case study more user-friendly.

13. " Capital One on AWS ," by Amazon

Do you work continuously with your clients? Consider structuring your case study page like Amazon did in this stellar case study example. Instead of just featuring one article about Capital One and how it benefited from using AWS, Amazon features a series of articles that you can then access if you’re interested in reading more. It goes all the way back to 2016, all with different stories that feature Capital One’s achievements using AWS.

This may look unattainable for a small firm, but you don’t have to go to extreme measures and do it for every single one of your clients. You could choose the one you most wish to focus on and establish a contact both on your side and your client’s for coming up with the content. Check in every year and write a new piece. These don’t have to be long, either — five hundred to eight hundred words will do.

Key Learnings from the Amazon AWS Case Study Example

• Write a new article each year featuring one of your clients, then include links to those articles in one big case study page.
• Consider including external articles as well that emphasize your client’s success in their industry.

14. " HackReactor teaches the world to code #withAsana ," by Asana

While Asana's case study design looks text-heavy, there's a good reason. It reads like a creative story, told entirely from the customer's perspective.

For instance, Asana knows you won't trust its word alone on why this product is useful. So, they let Tony Phillips, HackReactor CEO, tell you instead: "We take in a lot of information. Our brains are awful at storage but very good at thinking; you really start to want some third party to store your information so you can do something with it."

Asana features frequent quotes from Phillips to break up the wall of text and humanize the case study. It reads like an in-depth interview and captivates the reader through creative storytelling. Even more, Asana includes in-depth detail about how HackReactor uses Asana. This includes how they build templates and workflows:

"There's a huge differentiator between Asana and other tools, and that’s the very easy API access. Even if Asana isn’t the perfect fit for a workflow, someone like me— a relatively mediocre software engineer—can add functionality via the API to build a custom solution that helps a team get more done."

Key Learnings from the Asana Example

• Include quotes from your client throughout the case study.
• Provide extensive detail on how your client worked with you or used your product.

15. " Rips Sewed, Brand Love Reaped ," by Amp Agency

Amp Agency's Patagonia marketing strategy aimed to appeal to a new audience through guerrilla marketing efforts and a coast-to-coast road trip. Their case study page effectively conveys a voyager theme, complete with real photos of Patagonia customers from across the U.S., and a map of the expedition. I liked Amp Agency's storytelling approach best. It captures viewers' attention from start to finish simply because it's an intriguing and unique approach to marketing.

Key Learnings from the Amp Agency Example

• Open up with a summary that communicates who your client is and why they reached out to you.
• Like in the other case study examples, you’ll want to close out with a quantitative list of your achievements.

16. " NetApp ," by Evisort

Evisort opens up its NetApp case study with an at-a-glance overview of the client. It’s imperative to always focus on the client in your case study — not on your amazing product and equally amazing team. By opening up with a snapshot of the client’s company, Evisort places the focus on the client.

This case study example checks all the boxes for a great case study that’s informative, thorough, and compelling. It includes quotes from the client and details about the challenges NetApp faced during the COVID pandemic. It closes out with a quote from the client and with a link to download the case study in PDF format, which is incredibly important if you want your case study to be accessible in a wider variety of formats.

Key Learnings from the Evisort Example

• Place the focus immediately on your client by including a snapshot of their company.
• Mention challenging eras, such as a pandemic or recession, to show how your company can help your client succeed even during difficult times.

17. " Copernicus Land Monitoring – CLC+ Core ," by Cloudflight

Including highly specialized information in your case study is an effective way to show prospects that you’re not just trying to get their business. You’re deep within their industry, too, and willing to learn everything you need to learn to create a solution that works specifically for them.

Cloudflight does a splendid job at that in its Copernicus Land Monitoring case study. While the information may be difficult to read at first glance, it will capture the interest of prospects who are in the environmental industry. It thus shows Cloudflight’s value as a partner much more effectively than a general case study would.

The page is comprehensive and ends with a compelling call-to-action — "Looking for a solution that automates, and enhances your Big Data system? Are you struggling with large datasets and accessibility? We would be happy to advise and support you!" The clean, whitespace-heavy page is an effective example of using a case study to capture future leads.

Key Learnings from the Cloudflight Case Study Example

• Don’t be afraid to get technical in your explanation of what you did for your client.
• Include a snapshot of the sales representative prospects should contact, especially if you have different sales reps for different industries, like Cloudflight does.

18. " Valvoline Increases Coupon Send Rate by 76% with Textel’s MMS Picture Texting ," by Textel

If you’re targeting large enterprises with a long purchasing cycle, you’ll want to include a wealth of information in an easily transferable format. That’s what Textel does here in its PDF case study for Valvoline. It greets the user with an eye-catching headline that shows the value of using Textel. Valvoline saw a significant return on investment from using the platform.

Another smart decision in this case study is highlighting the client’s quote by putting it in green font and doing the same thing for the client’s results because it helps the reader quickly connect the two pieces of information. If you’re in a hurry, you can also take a look at the "At a Glance" column to get the key facts of the case study, starting with information about Valvoline.

Key Learnings from the Textel Case Study Example

• Include your client’s ROI right in the title of the case study.
• Add an "At a Glance" column to your case study PDF to make it easy to get insights without needing to read all the text.

19. " Hunt Club and Happeo — a tech-enabled love story ," by Happeo

In this blog-post-like case study, Happeo opens with a quote from the client, then dives into a compelling heading: "Technology at the forefront of Hunt Club's strategy." Say you’re investigating Happeo as a solution and consider your firm to be technology-driven. This approach would spark your curiosity about why the client chose to work with Happeo. It also effectively communicates the software’s value proposition without sounding like it’s coming from an in-house marketing team.

Every paragraph is a quote written from the customer’s perspective. Later down the page, the case study also dives into "the features that changed the game for Hunt Club," giving Happeo a chance to highlight some of the platform’s most salient features.

Key Learnings from the Happeo Case Study Example

• Consider writing the entirety of the case study from the perspective of the customer.
• Include a list of the features that convinced your client to go with you.

20. " Red Sox Season Campaign ," by CTP Boston

What's great about CTP's case study page for their Red Sox Season Campaign is their combination of video, images, and text. A video automatically begins playing when you visit the page, and as you scroll, you'll see more embedded videos of Red Sox players, a compilation of print ads, and social media images you can click to enlarge.

At the bottom, it says "Find out how we can do something similar for your brand." The page is clean, cohesive, and aesthetically pleasing. It invites viewers to appreciate the well-roundedness of CTP's campaign for Boston's beloved baseball team.

Key Learnings from the CTP Case Study Example

• Include a video in the heading of the case study.
• Close with a call-to-action that makes leads want to turn into prospects.

21. " Acoustic ," by Genuine

Sometimes, simple is key. Genuine's case study for Acoustic is straightforward and minimal, with just a few short paragraphs, including "Reimagining the B2B website experience," "Speaking to marketers 1:1," and "Inventing Together." After the core of the case study, we then see a quote from Acoustic’s CMO and the results Genuine achieved for the company.

The simplicity of the page allows the reader to focus on both the visual aspects and the copy. The page displays Genuine's brand personality while offering the viewer all the necessary information they need.

• You don’t need to write a lot to create a great case study. Keep it simple.
• Always include quantifiable data to illustrate the results you achieved for your client.

22. " Using Apptio Targetprocess Automated Rules in Wargaming ," by Apptio

Apptio’s case study for Wargaming summarizes three key pieces of information right at the beginning: The goals, the obstacles, and the results.

Readers then have the opportunity to continue reading — or they can walk away right then with the information they need. This case study also excels in keeping the human interest factor by formatting the information like an interview.

The piece is well-organized and uses compelling headers to keep the reader engaged. Despite its length, Apptio's case study is appealing enough to keep the viewer's attention. Every Apptio case study ends with a "recommendation for other companies" section, where the client can give advice for other companies that are looking for a similar solution but aren’t sure how to get started.

Key Learnings from the Apptio Case Study Example

• Put your client in an advisory role by giving them the opportunity to give recommendations to other companies that are reading the case study.
• Include the takeaways from the case study right at the beginning so prospects quickly get what they need.

23. " Airbnb + Zendesk: building a powerful solution together ," by Zendesk

Zendesk's Airbnb case study reads like a blog post, and focuses equally on Zendesk and Airbnb, highlighting a true partnership between the companies. To captivate readers, it begins like this: "Halfway around the globe is a place to stay with your name on it. At least for a weekend."

The piece focuses on telling a good story and provides photographs of beautiful Airbnb locations. In a case study meant to highlight Zendesk's helpfulness, nothing could be more authentic than their decision to focus on Airbnb's service in such great detail.

Key Learnings from the Zendesk Case Study Example

• Include images of your client’s offerings — not necessarily of the service or product you provided. Notice how Zendesk doesn’t include screenshots of its product.
• Include a call-to-action right at the beginning of the case study. Zendesk gives you two options: to find a solution or start a trial.

24. " Biobot Customer Success Story: Rollins College, Winter Park, Florida ," by Biobot

Like some of the other top examples in this list, Biobot opens its case study with a quote from its client, which captures the value proposition of working with Biobot. It mentions the COVID pandemic and goes into detail about the challenges the client faced during this time.

This case study is structured more like a news article than a traditional case study. This format can work in more formal industries where decision-makers need to see in-depth information about the case. Be sure to test different methods and measure engagement .

Key Learnings from the Biobot Case Study Example

• Mention environmental, public health, or economic emergencies and how you helped your client get past such difficult times.
• Feel free to write the case study like a normal blog post, but be sure to test different methods to find the one that best works for you.

25. " Discovering Cost Savings With Efficient Decision Making ," by Gartner

You don't always need a ton of text or a video to convey your message — sometimes, you just need a few paragraphs and bullet points. Gartner does a fantastic job of quickly providing the fundamental statistics a potential customer would need to know, without boggling down their readers with dense paragraphs. The case study closes with a shaded box that summarizes the impact that Gartner had on its client. It includes a quote and a call-to-action to "Learn More."

Key Learnings from the Gartner Case Study Example

• Feel free to keep the case study short.
• Include a call-to-action at the bottom that takes the reader to a page that most relates to them.

26. " Bringing an Operator to the Game ," by Redapt

This case study example by Redapt is another great demonstration of the power of summarizing your case study’s takeaways right at the start of the study. Redapt includes three easy-to-scan columns: "The problem," "the solution," and "the outcome." But its most notable feature is a section titled "Moment of clarity," which shows why this particular project was difficult or challenging.

The section is shaded in green, making it impossible to miss. Redapt does the same thing for each case study. In the same way, you should highlight the "turning point" for both you and your client when you were working toward a solution.

Key Learnings from the Redapt Case Study Example

• Highlight the turning point for both you and your client during the solution-seeking process.
• Use the same structure (including the same headings) for your case studies to make them easy to scan and read.

27. " Virtual Call Center Sees 300% Boost In Contact Rate ," by Convoso

Convoso’s PDF case study for Digital Market Media immediately mentions the results that the client achieved and takes advantage of white space. On the second page, the case study presents more influential results. It’s colorful and engaging and closes with a spread that prompts readers to request a demo.

Key Learnings from the Convoso Case Study Example

• List the results of your work right at the beginning of the case study.
• Use color to differentiate your case study from others. Convoso’s example is one of the most colorful ones on this list.

28. " Ensuring quality of service during a pandemic ," by Ericsson

Ericsson’s case study page for Orange Spain is an excellent example of using diverse written and visual media — such as videos, graphs, and quotes — to showcase the success a client experienced. Throughout the case study, Ericsson provides links to product and service pages users might find relevant as they’re reading the study.

For instance, under the heading "Preloaded with the power of automation," Ericsson mentions its Ericsson Operations Engine product, then links to that product page. It closes the case study with a link to another product page.

Key Learnings from the Ericsson Case Study Example

• Link to product pages throughout the case study so that readers can learn more about the solution you offer.
• Use multimedia to engage users as they read the case study.

Start creating your case study.

Now that you've got a great list of examples of case studies, think about a topic you'd like to write about that highlights your company or work you did with a customer.

A customer’s success story is the most persuasive marketing material you could ever create. With a strong portfolio of case studies, you can ensure prospects know why they should give you their business.

Editor's note: This post was originally published in August 2018 and has been updated for comprehensiveness.

Don't forget to share this post!

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How to Design Case Studies for Your Clients

Why Case Study Design Matters

Case studies are more than just feel-good success stories for your client’s audience to read.

They’re powerful tools for showcasing your client’s products and services in the very best possible light.

That’s why every aspect of your client’s case study has to count. Not just the information and the statistics and the positive experience of the case study’s subject, but everything that goes into creating the experience of an individual who is reading this case study and thinking hard about whether they should invest in your client’s products or services.

We’re talking about the copywriting, the illustrations and icons, the infographics, everything!

And that’s where you, as a designer, come into play! 

Because if your client’s reader isn’t engaged and captivated by the information they’re seeing, they’re not likely to stick around. The layout and design have got to hit their mark every time for your client’s case studies to have the impact they want them to have.

So, what makes for a great case study or report design?

If you’re scratching your head, then this blog is here to help shine some light. Consider today’s blog your handy guide for creating captivating and strategic case study design that showcases your client’s offerings in the best possible way!

How Does a Case Study Tell a Story?

A case study can be an extremely effective marketing tool, even more so than ads, websites, or product demos.

Why? Because a case study isn’t an ad, a case study involves a real-world situation or problem that a real-world business faced and the journey they went through to resolve it, which naturally makes for a great story.

A good case study first introduces the subject, whether it's a business or an individual, and sets the stage for the story by outlining their challenges. It then describes the solution that alleviated this problem (your client’s products and services), the steps it took to implement that solution, and the obstacles it overcame to get there.

The results should show, through the use of data collection, statistics, etc., how your client’s brand was able to help the subject of the case study in whatever way they needed that help. Depending on the type of case study, the results could be increased brand awareness, increased conversions on an ecommerce site , or a boost in revenue due to optimized marketing strategies.

If presented right, this can be huge for a business! It gives real-life context to the pain points their potential customers have and the data analysis to prove that their products or services can get the job done!

And, as a designer, your role in all this is to make sure that the reader of this case study is getting the full effect of this real-life success story. Sure, the copywriter will handle writing a case study, but your job to take those words and enhance them through images, illustrations, layout, and more to present the narrative in the best way possible and guide the reader from beginning to end.

Designing Case Studies: What You Need to Know

Now that you know why case studies are so important, here is what you need to know to design a top-notch case study for your next client!

1. Understand Your Client’s Needs

It’s always a good idea to make sure that you really understand the message your client is looking to display with their case study.

Look through their other content and familiarize yourself with their brand guide so you can be sure that your design aligns with their messaging and their brand. It’s also good to familiarize yourself with the industry your client is in as well as their audience so that you can be sure your design is keeping them engaged.

2. The Right Graphics for the Story

A successful case study is going to need a good number of images and photos to break up all of that text into manageable bites and better explain complex information.

Roll up your sleeves and crank up Adobe Illustrator, because custom graphics is the way to go here. The style will be up to your client and their brand, but common needs for case studies include:

• Illustrations
• Photo treatments

These graphics are extremely handy for not only breaking up big blocks of text but also highlighting important information and making the content easy to navigate and understand.

Refer to your client’s brand guide to get the style right for the custom illustrations and icons you’ll need for their case study. If they don’t have any guidelines for illustrations and icons, then be a pal and kindly refer them here .

3. The Best Way to Visualize Data

Showcasing data effectively in a case study is absolutely crucial to its success. It doesn’t matter how impressive the numbers are if the reader can’t understand them or get a good grasp on their impact.

So, the data you’re working with, whether it's in the form of charts and graphs, statistics, or whatever else your client asks for must be presented in a way that is clear and straightforward. Use colors, type hierarchy, callouts, or whatever you need to best present your information.

Compelling infographics are a great way to do this. Using your client’s brand guide, you can whip up some infographic design templates to use throughout the case study to effectively show the collected data and what it means.

4. A Compelling Color Palette

The right colors not only make a case study visually appealing as readers navigate through the information but can ensure that your client’s case study is on brand, consistent, and a step above the rest of the competition.

Consider also using your colors to strategically highlight key information, such as numbers or data, and to invoke the right emotions as your reader moves through the narrative.

With so much data and information to present, be sure to also use a color palette that works well with your graphics and font. Your headers, captions, and text should be easy to read against whatever color background you’ve chosen.

5. Strategic Layout

The way your case study is laid out is also a crucial component in how readable and user-friendly the final result will be.

Collaborate with the copywriter, if possible, and make sure that the case study has a clear structure. The copy, the data, and your infographics, photos, and images should tell a story: a beginning (before the brand’s product and service), a middle (introducing the product or service), and an end (how the product or service improved the subject’s operations).

Use the power of type hierarchy as well to call out key information, keep text organized, and make the content easier to read.

Conducting a case study involves collecting tons of information, but no matter how much info is presented, you don’t want any portions of your case study to look crowded or busy. Be sure to have enough white space on each page to keep your design looking clean.

Some ways to lay images or photos out neatly are by the use of grids, columns, icons, and by teaming up with the copywriter to insert navigation aids, like clear page numbers, a table of contents, clearly defined sections, an index, or whatever else you think the reader would need to be able to easily follow along.

6. Spotlight Key Information

In addition to using type hierarchy and color scheme to call out the juiciest bits of information, consider also using bullets, lists, quotations, callouts, and even arrows to guide the reader’s eyes to what’s most crucial.

If the specific case study you’re designing for is about complex machinery or products a potential customer might not be familiar with, things might get confusing fast.

Clear it up by adding labels and captions to photos and illustrations to help the reader better understand important technical information and not feel overwhelmed or lost by the data being presented.

Looking for an Outlet for Those Design Skills?

If all of this has you nodding along, then, great! You may already have the design know-how to create visually stunning and easy-to-navigate case studies, reports, or whitepapers.

So, if you’re looking for an outlet for those skills, why not consider joining the Designity community?

Designity is a 100% remote CaaS (creative as a service) platform that is made up of experienced Creative Directors and the top 3% of US-based creative talent, including graphic designers , illustrators, copywriters, video editors, animators, and more.

As part of the Designity community, you’d enjoy competitive pay, a remote work environment, and the freedom to work on your own schedule from wherever you have a good WiFi connection!

You’ll also get to work on a variety of different projects with an even larger variety of clients and industries. And, best of all, you’ll get to team up with that creative talent described earlier and be part of a one-stop shop dream team that creates multiple case studies, whitepapers, brochures, and whatever marketing collateral you want to work on!

Think you have what it takes? 

Why not apply today and put your skills to the test?

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• What Is a Case Study? | Definition, Examples & Methods

What Is a Case Study? | Definition, Examples & Methods

Published on May 8, 2019 by Shona McCombes . Revised on November 20, 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyze the case, other interesting articles.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

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Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

• Provide new or unexpected insights into the subject
• Challenge or complicate existing assumptions and theories
• Propose practical courses of action to resolve a problem
• Open up new directions for future research

TipIf your research is more practical in nature and aims to simultaneously investigate an issue as you solve it, consider conducting action research instead.

Unlike quantitative or experimental research , a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

Example of an outlying case studyIn the 1960s the town of Roseto, Pennsylvania was discovered to have extremely low rates of heart disease compared to the US average. It became an important case study for understanding previously neglected causes of heart disease.

However, you can also choose a more common or representative case to exemplify a particular category, experience or phenomenon.

Example of a representative case studyIn the 1920s, two sociologists used Muncie, Indiana as a case study of a typical American city that supposedly exemplified the changing culture of the US at the time.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

• Exemplify a theory by showing how it explains the case under investigation
• Expand on a theory by uncovering new concepts and ideas that need to be incorporated
• Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews , observations , and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data.

Example of a mixed methods case studyFor a case study of a wind farm development in a rural area, you could collect quantitative data on employment rates and business revenue, collect qualitative data on local people’s perceptions and experiences, and analyze local and national media coverage of the development.

The aim is to gain as thorough an understanding as possible of the case and its context.

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In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis , with separate sections or chapters for the methods , results and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyze its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Ecological validity

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

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11 Inspiring UX Case Studies That Every Designer Should Study

A UX case study is a sort of detailed overview of a designer's work. They are often part of a UX designer's portfolio and showcase the designer's skill in managing tasks and problems. From a recruiter's perspective, such a UX portfolio shows the skill, insights, knowledge, and talent of the designer.

Therefore, UX case studies play an important role in the recruitment and demand for designers.

What Makes a Powerful Case Study

Building a UX case study includes showing the design process through compelling stories. They will use plain language to demonstrate how they handled key design issues, offering a comprehensive view of their process. Well done case studies often include:

• A  problem statement and solutions with real applications.
• Relevant numbers, data, or testimonials to demonstrate the work and efforts.
• A story that directly connects the problem to the solution.

Any competent UX professional will know that creating a stunning UX case study is about the little details.

11 Best UX Case Studies for Designers

The best way to understand what a good case study looks like is to go over other examples. Each of these UX case study examples shows a designer's insights, basic skills, and other designers' lessons learned through their experience.

1. Promo.com web editor

For this video-creation platform , UX designer Sascha was brought on to revamp v2.0, adding new features that could work alongside the existing UX design. The point was to work on interface details that would help create a user friendly platform, and that users could find simple enough to use.

User personas mapped by the UX designer revealed the most common confusion to be the process of inserting particular features into the video, such as subtitles. The designer's goal, therefore, was to create a platform with improved editor controls.

The designer then used a common text-editor layout to include top and side navigation bars that made it easy to access and implement text editing.

Key Learnings from Promo.com

This case study focuses on addressing a particular problem that customers were currently facing. Its main theme is to show a problem, and how the product designer addressed this problem. Its strength points include:

• clearly highlighting the problem (i.e. inaccessible and limited video-text editor options)
• conduction research to understand the nature of the problem and the kind of solutions customers want
• implementing research insights into the redesign to create a platform that actively served customer needs

2. Productivity tracker app

The main concept behind this UX case study is to address a pre-existing problem through the design of the app. Immediately from the start, the study highlights a common pain point among users: that of a lack of productivity due to device usage.

This UX case study example addressed some of the main problems within existing productivity apps included:a poor UI and UX that made navigation difficult

• a poorly-built information architecture
• limited functions on the mobile application

Key Learnings from the Productivity app case study

The case study highlights the simple design process that was then used to build the app. Wireframes were created, a moldboard developed, and finally, individual pages of the app were designed in line with the initial goals.

3. Postmates Unlimited

This case study clearly identifies the improvements made to the Postmates app in a simple overview before jumping into greater detail. The redesign goal, which it achieved, was to improve the experience and other interface details of the app.

The problems identified included:

• usability that led to high support ticket volume.
• technical app infrastructure issues that prevented scalability.
• lack of efficient product management, such as batching orders.

A UX research course can help understand the kind of research needed for a case study. The app redesign involved bringing couriers in and running usability testing on improvements. The final model, therefore, had input from real users on what worked and what caused issues.

Key Learnings from Postmates

The Postmates redesign works as a great UX case study for the simple way it approaches problem-solving. Following an overview of the work, it addresses the problems faced by users of the app. It then establishes research processes and highlights how changes were made to reduce these issues.

4. TV Guide

Addressing the fragmentation of content across channels, this case study sought to redesign how people consume media. The key problems identified included:

• the overabundance of content across various TV and streaming platforms
• the difficulty in discovering and managing content across all platforms

To deliver on the key goals of content personalization, smart recommendations, and offering cross-platform content search, the design process included conducting interviews, surveys, and checking customer reviews.

The design of TV Guide enables users to get custom recommendations sourced from friends' and family's watchlists.

Key Learnings from TV Guide

Like previous UX design case studies, this one tackled the issue head-on. Describing the research process, it goes into detail regarding the approach used by the UX designers to create the app. It takes readers on a journey, from identifying pain points, to testing solutions, and implementing the final version.

5. The FlexBox Inspector

Designer Victoria discusses how she developed the investigator tool for the Mozilla Firefox browser. Surveys into understanding the problems with the existing CSS Flexbox tool revealed a need for a user-friendly design. Interviews with a senior designer and other designers helped developers understand the features design-focused tools ought to have. A feature analysis revealed what most users look for in such tools.

The final result of the development process was a design that incorporated several new features, including:

• a new layout
• color-coded design
• multiple entry points to make workflow management efficient

Key Learnings from the Flexbox

This UX design case study starts with a clear goal, then addresses multiple user needs. It clearly defines the design process behind each feature developed by the time, and the reasoning for including that feature. To give a complete picture, it also discusses why certain features or processes were excluded.

6. The Current State of Checkouts

This Baymard UX design case study looks into the checkout process in over 70 e-commerce websites. Through competitive analysis, it isolates problem points in the UX design, which, if addressed, could improve the customer's checkout process.

The study found at least 31 common issues that were easily preventable. The study was designed and conducted on a large scale, over 12 years, to incorporate changing design patterns into the review.

Recommendations based on findings include:

• prominent guest checkout option
• simple password requirements
• specific delivery period
• price comparison tool for shipping vs store pickup

Key Learnings from Checkout Case Study

Each identified issue is backed up by data and research to highlight its importance. Further research backs up each recommendation made within the case study, with usability testing to support the idea. As far as UX case studies go, this one provides practical insight into an existing, widely used e-commerce feature, and offers practical solutions.

7. New York Times App

Using a creative illustration website, the designers proposed a landing page feature "Timely" that could counter the problems faced by the NYT app . Its major issues included too much irrelevant content, low usage, and undesirable coverage of content.

The goal behind Timely was to improve user incentives, build long-term loyalty, and encourage reading. Design mapping for the app covered:

• identifying the problem
• understanding audience needs
• creating wireframes
• designing and prototyping

The end result was an app that could help readers get notifications regarding news of interest at convenient moments (at breakfast, before bed). This encouraged interaction and improved readability with short-form articles.

Key Learnings from NYT App

The UX case study proposes a problem solution that works with an existing information architecture, instead adding custom graphics to the mobile app. It leads from a simple problem statement to discuss the project that could address these issues without changing was customers already loved.

UX case studies focused on redesign include the FitBit redesign, which started off by understanding personas and what users expect from a fitness tracker. Developing use cases and personas, Guerilla usability testing was employed to assess pain points.

These pain points were then ranked based on their importance to users and to app performance. They were addressed through:

• Highlighting essential parts and features of the app
• Changing easily missed icons to more recognizable icons
• relabelling tracking options to guide users better to its usage

Key Learnings from Fitbit

While the case study maps user experiences and offers solutions, it does not begin with an intensive research-based approach. The prototype is successful in testing, but problem factors are not identified with research-based statistics, meaning key factors could have been ignored.

9. Rating System UX

The designer behind the rating system UX redesign sought to solve issues with the 5-star rating system. Highlighted issues included:

• the lack of subjective accuracy of a 5-point rating system
• the issue of calculating the average of a zero-star rating
• average ratings are misleading

Better alternatives include:

• 5-star emoticon rating that relates the user experience
• Like/dislike buttons that make approval/disapproval simple

The final design incorporated both these styles to make full use of the rating system.

Key Learnings from Rating System UX

The UX case study stemmed from insight into the limitations of the existing rating system. The new design addressed old issues and incorporated better efficiencies.

The Intuit redesign was focused on making content readable, more engaging, and accessible. Looking into product personalization, the content was found to be lacking aesthetic value, as well as being hard to find. The goal was to create content that was easy to find, clear, and consistent.

The implemented solutions included:

• increased readability with increased body text and header spacing
• table of contents on the sidebar for easier navigation
• visible and prominent search bar
• illustrations and designs for pretty visuals

Key Learnings from Intuit

The Intuit case study approaches the problem from a practical point of view. It begins with isolating problems with the interface, in particular with the content. This is an example of a case study that breaks down problems into broader categories, and solves each problem with a practical solution.

This UX case study about a social platform tackles a commonly-faced problem from existing platforms. It addresses the issue of recognizing non-monetary user engagement, to help creators identify their user base.

The case study addresses the problem statement and establishes the design process (building wireframes and prototypes) as well as conducting user testing. The final result is to develop "Discover" pages, engaging layouts, and animated interactions to increase usability.

Key Learnings from Jambb

The study goes into detail regarding problem identification, then moves on to propose solutions that take into account the perspective of all stakeholders involved. It then explains why each design decision was made, and proves its efficacy through testing and prototyping.

Key Takeaways

Developing good UX case studies examples is as much about the details you include as the ones you leave out. Going over UX courses can give you a better understanding of what your case study should look like. A good case study should provide an overview of the problem, include numbers and statistics, and offer practical solutions that directly address the problem. The above-discussed UX case studies provide a good example of the dos and don'ts of a well-structured UX design case study that should be part of every UX portfolio .

Additional Resources

Check out these resources to learn more about UX case studies:

8 UX Case Studies to Read

UX Design Case Study

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Introduction

Before beginning your paper, you need to decide how you plan to design the study .

The research design refers to the overall strategy and analytical approach that you have chosen in order to integrate, in a coherent and logical way, the different components of the study, thus ensuring that the research problem will be thoroughly investigated. It constitutes the blueprint for the collection, measurement, and interpretation of information and data. Note that the research problem determines the type of design you choose, not the other way around!

De Vaus, D. A. Research Design in Social Research . London: SAGE, 2001; Trochim, William M.K. Research Methods Knowledge Base. 2006.

General Structure and Writing Style

The function of a research design is to ensure that the evidence obtained enables you to effectively address the research problem logically and as unambiguously as possible . In social sciences research, obtaining information relevant to the research problem generally entails specifying the type of evidence needed to test the underlying assumptions of a theory, to evaluate a program, or to accurately describe and assess meaning related to an observable phenomenon.

With this in mind, a common mistake made by researchers is that they begin their investigations before they have thought critically about what information is required to address the research problem. Without attending to these design issues beforehand, the overall research problem will not be adequately addressed and any conclusions drawn will run the risk of being weak and unconvincing. As a consequence, the overall validity of the study will be undermined.

The length and complexity of describing the research design in your paper can vary considerably, but any well-developed description will achieve the following :

• Identify the research problem clearly and justify its selection, particularly in relation to any valid alternative designs that could have been used,
• Review and synthesize previously published literature associated with the research problem,
• Clearly and explicitly specify hypotheses [i.e., research questions] central to the problem,
• Effectively describe the information and/or data which will be necessary for an adequate testing of the hypotheses and explain how such information and/or data will be obtained, and
• Describe the methods of analysis to be applied to the data in determining whether or not the hypotheses are true or false.

The research design is usually incorporated into the introduction of your paper . You can obtain an overall sense of what to do by reviewing studies that have utilized the same research design [e.g., using a case study approach]. This can help you develop an outline to follow for your own paper.

NOTE: Use the SAGE Research Methods Online and Cases and the SAGE Research Methods Videos databases to search for scholarly resources on how to apply specific research designs and methods . The Research Methods Online database contains links to more than 175,000 pages of SAGE publisher's book, journal, and reference content on quantitative, qualitative, and mixed research methodologies. Also included is a collection of case studies of social research projects that can be used to help you better understand abstract or complex methodological concepts. The Research Methods Videos database contains hours of tutorials, interviews, video case studies, and mini-documentaries covering the entire research process.

Creswell, John W. and J. David Creswell. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 5th edition. Thousand Oaks, CA: Sage, 2018; De Vaus, D. A. Research Design in Social Research . London: SAGE, 2001; Gorard, Stephen. Research Design: Creating Robust Approaches for the Social Sciences . Thousand Oaks, CA: Sage, 2013; Leedy, Paul D. and Jeanne Ellis Ormrod. Practical Research: Planning and Design . Tenth edition. Boston, MA: Pearson, 2013; Vogt, W. Paul, Dianna C. Gardner, and Lynne M. Haeffele. When to Use What Research Design . New York: Guilford, 2012.

Action Research Design

Definition and Purpose

The essentials of action research design follow a characteristic cycle whereby initially an exploratory stance is adopted, where an understanding of a problem is developed and plans are made for some form of interventionary strategy. Then the intervention is carried out [the "action" in action research] during which time, pertinent observations are collected in various forms. The new interventional strategies are carried out, and this cyclic process repeats, continuing until a sufficient understanding of [or a valid implementation solution for] the problem is achieved. The protocol is iterative or cyclical in nature and is intended to foster deeper understanding of a given situation, starting with conceptualizing and particularizing the problem and moving through several interventions and evaluations.

What do these studies tell you ?

• This is a collaborative and adaptive research design that lends itself to use in work or community situations.
• Design focuses on pragmatic and solution-driven research outcomes rather than testing theories.
• When practitioners use action research, it has the potential to increase the amount they learn consciously from their experience; the action research cycle can be regarded as a learning cycle.
• Action research studies often have direct and obvious relevance to improving practice and advocating for change.
• There are no hidden controls or preemption of direction by the researcher.

What these studies don't tell you ?

• It is harder to do than conducting conventional research because the researcher takes on responsibilities of advocating for change as well as for researching the topic.
• Action research is much harder to write up because it is less likely that you can use a standard format to report your findings effectively [i.e., data is often in the form of stories or observation].
• Personal over-involvement of the researcher may bias research results.
• The cyclic nature of action research to achieve its twin outcomes of action [e.g. change] and research [e.g. understanding] is time-consuming and complex to conduct.
• Advocating for change usually requires buy-in from study participants.

Coghlan, David and Mary Brydon-Miller. The Sage Encyclopedia of Action Research . Thousand Oaks, CA:  Sage, 2014; Efron, Sara Efrat and Ruth Ravid. Action Research in Education: A Practical Guide . New York: Guilford, 2013; Gall, Meredith. Educational Research: An Introduction . Chapter 18, Action Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Gorard, Stephen. Research Design: Creating Robust Approaches for the Social Sciences . Thousand Oaks, CA: Sage, 2013; Kemmis, Stephen and Robin McTaggart. “Participatory Action Research.” In Handbook of Qualitative Research . Norman Denzin and Yvonna S. Lincoln, eds. 2nd ed. (Thousand Oaks, CA: SAGE, 2000), pp. 567-605; McNiff, Jean. Writing and Doing Action Research . London: Sage, 2014; Reason, Peter and Hilary Bradbury. Handbook of Action Research: Participative Inquiry and Practice . Thousand Oaks, CA: SAGE, 2001.

Case Study Design

A case study is an in-depth study of a particular research problem rather than a sweeping statistical survey or comprehensive comparative inquiry. It is often used to narrow down a very broad field of research into one or a few easily researchable examples. The case study research design is also useful for testing whether a specific theory and model actually applies to phenomena in the real world. It is a useful design when not much is known about an issue or phenomenon.

• Approach excels at bringing us to an understanding of a complex issue through detailed contextual analysis of a limited number of events or conditions and their relationships.
• A researcher using a case study design can apply a variety of methodologies and rely on a variety of sources to investigate a research problem.
• Design can extend experience or add strength to what is already known through previous research.
• Social scientists, in particular, make wide use of this research design to examine contemporary real-life situations and provide the basis for the application of concepts and theories and the extension of methodologies.
• The design can provide detailed descriptions of specific and rare cases.
• A single or small number of cases offers little basis for establishing reliability or to generalize the findings to a wider population of people, places, or things.
• Intense exposure to the study of a case may bias a researcher's interpretation of the findings.
• Design does not facilitate assessment of cause and effect relationships.
• Vital information may be missing, making the case hard to interpret.
• The case may not be representative or typical of the larger problem being investigated.
• If the criteria for selecting a case is because it represents a very unusual or unique phenomenon or problem for study, then your interpretation of the findings can only apply to that particular case.

Case Studies. Writing@CSU. Colorado State University; Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 4, Flexible Methods: Case Study Design. 2nd ed. New York: Columbia University Press, 1999; Gerring, John. “What Is a Case Study and What Is It Good for?” American Political Science Review 98 (May 2004): 341-354; Greenhalgh, Trisha, editor. Case Study Evaluation: Past, Present and Future Challenges . Bingley, UK: Emerald Group Publishing, 2015; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Stake, Robert E. The Art of Case Study Research . Thousand Oaks, CA: SAGE, 1995; Yin, Robert K. Case Study Research: Design and Theory . Applied Social Research Methods Series, no. 5. 3rd ed. Thousand Oaks, CA: SAGE, 2003.

Causal Design

Causality studies may be thought of as understanding a phenomenon in terms of conditional statements in the form, “If X, then Y.” This type of research is used to measure what impact a specific change will have on existing norms and assumptions. Most social scientists seek causal explanations that reflect tests of hypotheses. Causal effect (nomothetic perspective) occurs when variation in one phenomenon, an independent variable, leads to or results, on average, in variation in another phenomenon, the dependent variable.

Conditions necessary for determining causality:

• Empirical association -- a valid conclusion is based on finding an association between the independent variable and the dependent variable.
• Appropriate time order -- to conclude that causation was involved, one must see that cases were exposed to variation in the independent variable before variation in the dependent variable.
• Nonspuriousness -- a relationship between two variables that is not due to variation in a third variable.
• Causality research designs assist researchers in understanding why the world works the way it does through the process of proving a causal link between variables and by the process of eliminating other possibilities.
• Replication is possible.
• There is greater confidence the study has internal validity due to the systematic subject selection and equity of groups being compared.
• Not all relationships are causal! The possibility always exists that, by sheer coincidence, two unrelated events appear to be related [e.g., Punxatawney Phil could accurately predict the duration of Winter for five consecutive years but, the fact remains, he's just a big, furry rodent].
• Conclusions about causal relationships are difficult to determine due to a variety of extraneous and confounding variables that exist in a social environment. This means causality can only be inferred, never proven.
• If two variables are correlated, the cause must come before the effect. However, even though two variables might be causally related, it can sometimes be difficult to determine which variable comes first and, therefore, to establish which variable is the actual cause and which is the  actual effect.

Beach, Derek and Rasmus Brun Pedersen. Causal Case Study Methods: Foundations and Guidelines for Comparing, Matching, and Tracing . Ann Arbor, MI: University of Michigan Press, 2016; Bachman, Ronet. The Practice of Research in Criminology and Criminal Justice . Chapter 5, Causation and Research Designs. 3rd ed. Thousand Oaks, CA: Pine Forge Press, 2007; Brewer, Ernest W. and Jennifer Kubn. “Causal-Comparative Design.” In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 125-132; Causal Research Design: Experimentation. Anonymous SlideShare Presentation; Gall, Meredith. Educational Research: An Introduction . Chapter 11, Nonexperimental Research: Correlational Designs. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Trochim, William M.K. Research Methods Knowledge Base. 2006.

Cohort Design

Often used in the medical sciences, but also found in the applied social sciences, a cohort study generally refers to a study conducted over a period of time involving members of a population which the subject or representative member comes from, and who are united by some commonality or similarity. Using a quantitative framework, a cohort study makes note of statistical occurrence within a specialized subgroup, united by same or similar characteristics that are relevant to the research problem being investigated, rather than studying statistical occurrence within the general population. Using a qualitative framework, cohort studies generally gather data using methods of observation. Cohorts can be either "open" or "closed."

• Open Cohort Studies [dynamic populations, such as the population of Los Angeles] involve a population that is defined just by the state of being a part of the study in question (and being monitored for the outcome). Date of entry and exit from the study is individually defined, therefore, the size of the study population is not constant. In open cohort studies, researchers can only calculate rate based data, such as, incidence rates and variants thereof.
• Closed Cohort Studies [static populations, such as patients entered into a clinical trial] involve participants who enter into the study at one defining point in time and where it is presumed that no new participants can enter the cohort. Given this, the number of study participants remains constant (or can only decrease).
• The use of cohorts is often mandatory because a randomized control study may be unethical. For example, you cannot deliberately expose people to asbestos, you can only study its effects on those who have already been exposed. Research that measures risk factors often relies upon cohort designs.
• Because cohort studies measure potential causes before the outcome has occurred, they can demonstrate that these “causes” preceded the outcome, thereby avoiding the debate as to which is the cause and which is the effect.
• Cohort analysis is highly flexible and can provide insight into effects over time and related to a variety of different types of changes [e.g., social, cultural, political, economic, etc.].
• Either original data or secondary data can be used in this design.
• In cases where a comparative analysis of two cohorts is made [e.g., studying the effects of one group exposed to asbestos and one that has not], a researcher cannot control for all other factors that might differ between the two groups. These factors are known as confounding variables.
• Cohort studies can end up taking a long time to complete if the researcher must wait for the conditions of interest to develop within the group. This also increases the chance that key variables change during the course of the study, potentially impacting the validity of the findings.
• Due to the lack of randominization in the cohort design, its external validity is lower than that of study designs where the researcher randomly assigns participants.

Healy P, Devane D. “Methodological Considerations in Cohort Study Designs.” Nurse Researcher 18 (2011): 32-36; Glenn, Norval D, editor. Cohort Analysis . 2nd edition. Thousand Oaks, CA: Sage, 2005; Levin, Kate Ann. Study Design IV: Cohort Studies. Evidence-Based Dentistry 7 (2003): 51–52; Payne, Geoff. “Cohort Study.” In The SAGE Dictionary of Social Research Methods . Victor Jupp, editor. (Thousand Oaks, CA: Sage, 2006), pp. 31-33; Study Design 101. Himmelfarb Health Sciences Library. George Washington University, November 2011; Cohort Study. Wikipedia.

Cross-Sectional Design

Cross-sectional research designs have three distinctive features: no time dimension; a reliance on existing differences rather than change following intervention; and, groups are selected based on existing differences rather than random allocation. The cross-sectional design can only measure differences between or from among a variety of people, subjects, or phenomena rather than a process of change. As such, researchers using this design can only employ a relatively passive approach to making causal inferences based on findings.

• Cross-sectional studies provide a clear 'snapshot' of the outcome and the characteristics associated with it, at a specific point in time.
• Unlike an experimental design, where there is an active intervention by the researcher to produce and measure change or to create differences, cross-sectional designs focus on studying and drawing inferences from existing differences between people, subjects, or phenomena.
• Entails collecting data at and concerning one point in time. While longitudinal studies involve taking multiple measures over an extended period of time, cross-sectional research is focused on finding relationships between variables at one moment in time.
• Groups identified for study are purposely selected based upon existing differences in the sample rather than seeking random sampling.
• Cross-section studies are capable of using data from a large number of subjects and, unlike observational studies, is not geographically bound.
• Can estimate prevalence of an outcome of interest because the sample is usually taken from the whole population.
• Because cross-sectional designs generally use survey techniques to gather data, they are relatively inexpensive and take up little time to conduct.
• Finding people, subjects, or phenomena to study that are very similar except in one specific variable can be difficult.
• Results are static and time bound and, therefore, give no indication of a sequence of events or reveal historical or temporal contexts.
• Studies cannot be utilized to establish cause and effect relationships.
• This design only provides a snapshot of analysis so there is always the possibility that a study could have differing results if another time-frame had been chosen.
• There is no follow up to the findings.

Bethlehem, Jelke. "7: Cross-sectional Research." In Research Methodology in the Social, Behavioural and Life Sciences . Herman J Adèr and Gideon J Mellenbergh, editors. (London, England: Sage, 1999), pp. 110-43; Bourque, Linda B. “Cross-Sectional Design.” In  The SAGE Encyclopedia of Social Science Research Methods . Michael S. Lewis-Beck, Alan Bryman, and Tim Futing Liao. (Thousand Oaks, CA: 2004), pp. 230-231; Hall, John. “Cross-Sectional Survey Design.” In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 173-174; Helen Barratt, Maria Kirwan. Cross-Sectional Studies: Design Application, Strengths and Weaknesses of Cross-Sectional Studies. Healthknowledge, 2009. Cross-Sectional Study. Wikipedia.

Descriptive Design

Descriptive research designs help provide answers to the questions of who, what, when, where, and how associated with a particular research problem; a descriptive study cannot conclusively ascertain answers to why. Descriptive research is used to obtain information concerning the current status of the phenomena and to describe "what exists" with respect to variables or conditions in a situation.

• The subject is being observed in a completely natural and unchanged natural environment. True experiments, whilst giving analyzable data, often adversely influence the normal behavior of the subject [a.k.a., the Heisenberg effect whereby measurements of certain systems cannot be made without affecting the systems].
• Descriptive research is often used as a pre-cursor to more quantitative research designs with the general overview giving some valuable pointers as to what variables are worth testing quantitatively.
• If the limitations are understood, they can be a useful tool in developing a more focused study.
• Descriptive studies can yield rich data that lead to important recommendations in practice.
• Appoach collects a large amount of data for detailed analysis.
• The results from a descriptive research cannot be used to discover a definitive answer or to disprove a hypothesis.
• Because descriptive designs often utilize observational methods [as opposed to quantitative methods], the results cannot be replicated.
• The descriptive function of research is heavily dependent on instrumentation for measurement and observation.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 5, Flexible Methods: Descriptive Research. 2nd ed. New York: Columbia University Press, 1999; Given, Lisa M. "Descriptive Research." In Encyclopedia of Measurement and Statistics . Neil J. Salkind and Kristin Rasmussen, editors. (Thousand Oaks, CA: Sage, 2007), pp. 251-254; McNabb, Connie. Descriptive Research Methodologies. Powerpoint Presentation; Shuttleworth, Martyn. Descriptive Research Design, September 26, 2008; Erickson, G. Scott. "Descriptive Research Design." In New Methods of Market Research and Analysis . (Northampton, MA: Edward Elgar Publishing, 2017), pp. 51-77; Sahin, Sagufta, and Jayanta Mete. "A Brief Study on Descriptive Research: Its Nature and Application in Social Science." International Journal of Research and Analysis in Humanities 1 (2021): 11; K. Swatzell and P. Jennings. “Descriptive Research: The Nuts and Bolts.” Journal of the American Academy of Physician Assistants 20 (2007), pp. 55-56; Kane, E. Doing Your Own Research: Basic Descriptive Research in the Social Sciences and Humanities . London: Marion Boyars, 1985.

Experimental Design

A blueprint of the procedure that enables the researcher to maintain control over all factors that may affect the result of an experiment. In doing this, the researcher attempts to determine or predict what may occur. Experimental research is often used where there is time priority in a causal relationship (cause precedes effect), there is consistency in a causal relationship (a cause will always lead to the same effect), and the magnitude of the correlation is great. The classic experimental design specifies an experimental group and a control group. The independent variable is administered to the experimental group and not to the control group, and both groups are measured on the same dependent variable. Subsequent experimental designs have used more groups and more measurements over longer periods. True experiments must have control, randomization, and manipulation.

• Experimental research allows the researcher to control the situation. In so doing, it allows researchers to answer the question, “What causes something to occur?”
• Permits the researcher to identify cause and effect relationships between variables and to distinguish placebo effects from treatment effects.
• Experimental research designs support the ability to limit alternative explanations and to infer direct causal relationships in the study.
• Approach provides the highest level of evidence for single studies.
• The design is artificial, and results may not generalize well to the real world.
• The artificial settings of experiments may alter the behaviors or responses of participants.
• Experimental designs can be costly if special equipment or facilities are needed.
• Some research problems cannot be studied using an experiment because of ethical or technical reasons.
• Difficult to apply ethnographic and other qualitative methods to experimentally designed studies.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 7, Flexible Methods: Experimental Research. 2nd ed. New York: Columbia University Press, 1999; Chapter 2: Research Design, Experimental Designs. School of Psychology, University of New England, 2000; Chow, Siu L. "Experimental Design." In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 448-453; "Experimental Design." In Social Research Methods . Nicholas Walliman, editor. (London, England: Sage, 2006), pp, 101-110; Experimental Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Kirk, Roger E. Experimental Design: Procedures for the Behavioral Sciences . 4th edition. Thousand Oaks, CA: Sage, 2013; Trochim, William M.K. Experimental Design. Research Methods Knowledge Base. 2006; Rasool, Shafqat. Experimental Research. Slideshare presentation.

Exploratory Design

An exploratory design is conducted about a research problem when there are few or no earlier studies to refer to or rely upon to predict an outcome . The focus is on gaining insights and familiarity for later investigation or undertaken when research problems are in a preliminary stage of investigation. Exploratory designs are often used to establish an understanding of how best to proceed in studying an issue or what methodology would effectively apply to gathering information about the issue.

The goals of exploratory research are intended to produce the following possible insights:

• Familiarity with basic details, settings, and concerns.
• Well grounded picture of the situation being developed.
• Generation of new ideas and assumptions.
• Development of tentative theories or hypotheses.
• Determination about whether a study is feasible in the future.
• Issues get refined for more systematic investigation and formulation of new research questions.
• Direction for future research and techniques get developed.
• Design is a useful approach for gaining background information on a particular topic.
• Exploratory research is flexible and can address research questions of all types (what, why, how).
• Provides an opportunity to define new terms and clarify existing concepts.
• Exploratory research is often used to generate formal hypotheses and develop more precise research problems.
• In the policy arena or applied to practice, exploratory studies help establish research priorities and where resources should be allocated.
• Exploratory research generally utilizes small sample sizes and, thus, findings are typically not generalizable to the population at large.
• The exploratory nature of the research inhibits an ability to make definitive conclusions about the findings. They provide insight but not definitive conclusions.
• The research process underpinning exploratory studies is flexible but often unstructured, leading to only tentative results that have limited value to decision-makers.
• Design lacks rigorous standards applied to methods of data gathering and analysis because one of the areas for exploration could be to determine what method or methodologies could best fit the research problem.

Cuthill, Michael. “Exploratory Research: Citizen Participation, Local Government, and Sustainable Development in Australia.” Sustainable Development 10 (2002): 79-89; Streb, Christoph K. "Exploratory Case Study." In Encyclopedia of Case Study Research . Albert J. Mills, Gabrielle Durepos and Eiden Wiebe, editors. (Thousand Oaks, CA: Sage, 2010), pp. 372-374; Taylor, P. J., G. Catalano, and D.R.F. Walker. “Exploratory Analysis of the World City Network.” Urban Studies 39 (December 2002): 2377-2394; Exploratory Research. Wikipedia.

Field Research Design

Sometimes referred to as ethnography or participant observation, designs around field research encompass a variety of interpretative procedures [e.g., observation and interviews] rooted in qualitative approaches to studying people individually or in groups while inhabiting their natural environment as opposed to using survey instruments or other forms of impersonal methods of data gathering. Information acquired from observational research takes the form of “ field notes ” that involves documenting what the researcher actually sees and hears while in the field. Findings do not consist of conclusive statements derived from numbers and statistics because field research involves analysis of words and observations of behavior. Conclusions, therefore, are developed from an interpretation of findings that reveal overriding themes, concepts, and ideas. More information can be found HERE .

• Field research is often necessary to fill gaps in understanding the research problem applied to local conditions or to specific groups of people that cannot be ascertained from existing data.
• The research helps contextualize already known information about a research problem, thereby facilitating ways to assess the origins, scope, and scale of a problem and to gage the causes, consequences, and means to resolve an issue based on deliberate interaction with people in their natural inhabited spaces.
• Enables the researcher to corroborate or confirm data by gathering additional information that supports or refutes findings reported in prior studies of the topic.
• Because the researcher in embedded in the field, they are better able to make observations or ask questions that reflect the specific cultural context of the setting being investigated.
• Observing the local reality offers the opportunity to gain new perspectives or obtain unique data that challenges existing theoretical propositions or long-standing assumptions found in the literature.

What these studies don't tell you

• A field research study requires extensive time and resources to carry out the multiple steps involved with preparing for the gathering of information, including for example, examining background information about the study site, obtaining permission to access the study site, and building trust and rapport with subjects.
• Requires a commitment to staying engaged in the field to ensure that you can adequately document events and behaviors as they unfold.
• The unpredictable nature of fieldwork means that researchers can never fully control the process of data gathering. They must maintain a flexible approach to studying the setting because events and circumstances can change quickly or unexpectedly.
• Findings can be difficult to interpret and verify without access to documents and other source materials that help to enhance the credibility of information obtained from the field  [i.e., the act of triangulating the data].
• Linking the research problem to the selection of study participants inhabiting their natural environment is critical. However, this specificity limits the ability to generalize findings to different situations or in other contexts or to infer courses of action applied to other settings or groups of people.
• The reporting of findings must take into account how the researcher themselves may have inadvertently affected respondents and their behaviors.

Historical Design

The purpose of a historical research design is to collect, verify, and synthesize evidence from the past to establish facts that defend or refute a hypothesis. It uses secondary sources and a variety of primary documentary evidence, such as, diaries, official records, reports, archives, and non-textual information [maps, pictures, audio and visual recordings]. The limitation is that the sources must be both authentic and valid.

• The historical research design is unobtrusive; the act of research does not affect the results of the study.
• The historical approach is well suited for trend analysis.
• Historical records can add important contextual background required to more fully understand and interpret a research problem.
• There is often no possibility of researcher-subject interaction that could affect the findings.
• Historical sources can be used over and over to study different research problems or to replicate a previous study.
• The ability to fulfill the aims of your research are directly related to the amount and quality of documentation available to understand the research problem.
• Since historical research relies on data from the past, there is no way to manipulate it to control for contemporary contexts.
• Interpreting historical sources can be very time consuming.
• The sources of historical materials must be archived consistently to ensure access. This may especially challenging for digital or online-only sources.
• Original authors bring their own perspectives and biases to the interpretation of past events and these biases are more difficult to ascertain in historical resources.
• Due to the lack of control over external variables, historical research is very weak with regard to the demands of internal validity.
• It is rare that the entirety of historical documentation needed to fully address a research problem is available for interpretation, therefore, gaps need to be acknowledged.

Howell, Martha C. and Walter Prevenier. From Reliable Sources: An Introduction to Historical Methods . Ithaca, NY: Cornell University Press, 2001; Lundy, Karen Saucier. "Historical Research." In The Sage Encyclopedia of Qualitative Research Methods . Lisa M. Given, editor. (Thousand Oaks, CA: Sage, 2008), pp. 396-400; Marius, Richard. and Melvin E. Page. A Short Guide to Writing about History . 9th edition. Boston, MA: Pearson, 2015; Savitt, Ronald. “Historical Research in Marketing.” Journal of Marketing 44 (Autumn, 1980): 52-58;  Gall, Meredith. Educational Research: An Introduction . Chapter 16, Historical Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007.

Longitudinal Design

A longitudinal study follows the same sample over time and makes repeated observations. For example, with longitudinal surveys, the same group of people is interviewed at regular intervals, enabling researchers to track changes over time and to relate them to variables that might explain why the changes occur. Longitudinal research designs describe patterns of change and help establish the direction and magnitude of causal relationships. Measurements are taken on each variable over two or more distinct time periods. This allows the researcher to measure change in variables over time. It is a type of observational study sometimes referred to as a panel study.

• Longitudinal data facilitate the analysis of the duration of a particular phenomenon.
• Enables survey researchers to get close to the kinds of causal explanations usually attainable only with experiments.
• The design permits the measurement of differences or change in a variable from one period to another [i.e., the description of patterns of change over time].
• Longitudinal studies facilitate the prediction of future outcomes based upon earlier factors.
• The data collection method may change over time.
• Maintaining the integrity of the original sample can be difficult over an extended period of time.
• It can be difficult to show more than one variable at a time.
• This design often needs qualitative research data to explain fluctuations in the results.
• A longitudinal research design assumes present trends will continue unchanged.
• It can take a long period of time to gather results.
• There is a need to have a large sample size and accurate sampling to reach representativness.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 6, Flexible Methods: Relational and Longitudinal Research. 2nd ed. New York: Columbia University Press, 1999; Forgues, Bernard, and Isabelle Vandangeon-Derumez. "Longitudinal Analyses." In Doing Management Research . Raymond-Alain Thiétart and Samantha Wauchope, editors. (London, England: Sage, 2001), pp. 332-351; Kalaian, Sema A. and Rafa M. Kasim. "Longitudinal Studies." In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 440-441; Menard, Scott, editor. Longitudinal Research . Thousand Oaks, CA: Sage, 2002; Ployhart, Robert E. and Robert J. Vandenberg. "Longitudinal Research: The Theory, Design, and Analysis of Change.” Journal of Management 36 (January 2010): 94-120; Longitudinal Study. Wikipedia.

Meta-Analysis Design

Meta-analysis is an analytical methodology designed to systematically evaluate and summarize the results from a number of individual studies, thereby, increasing the overall sample size and the ability of the researcher to study effects of interest. The purpose is to not simply summarize existing knowledge, but to develop a new understanding of a research problem using synoptic reasoning. The main objectives of meta-analysis include analyzing differences in the results among studies and increasing the precision by which effects are estimated. A well-designed meta-analysis depends upon strict adherence to the criteria used for selecting studies and the availability of information in each study to properly analyze their findings. Lack of information can severely limit the type of analyzes and conclusions that can be reached. In addition, the more dissimilarity there is in the results among individual studies [heterogeneity], the more difficult it is to justify interpretations that govern a valid synopsis of results. A meta-analysis needs to fulfill the following requirements to ensure the validity of your findings:

• Clearly defined description of objectives, including precise definitions of the variables and outcomes that are being evaluated;
• A well-reasoned and well-documented justification for identification and selection of the studies;
• Assessment and explicit acknowledgment of any researcher bias in the identification and selection of those studies;
• Description and evaluation of the degree of heterogeneity among the sample size of studies reviewed; and,
• Justification of the techniques used to evaluate the studies.
• Can be an effective strategy for determining gaps in the literature.
• Provides a means of reviewing research published about a particular topic over an extended period of time and from a variety of sources.
• Is useful in clarifying what policy or programmatic actions can be justified on the basis of analyzing research results from multiple studies.
• Provides a method for overcoming small sample sizes in individual studies that previously may have had little relationship to each other.
• Can be used to generate new hypotheses or highlight research problems for future studies.
• Small violations in defining the criteria used for content analysis can lead to difficult to interpret and/or meaningless findings.
• A large sample size can yield reliable, but not necessarily valid, results.
• A lack of uniformity regarding, for example, the type of literature reviewed, how methods are applied, and how findings are measured within the sample of studies you are analyzing, can make the process of synthesis difficult to perform.
• Depending on the sample size, the process of reviewing and synthesizing multiple studies can be very time consuming.

Beck, Lewis W. "The Synoptic Method." The Journal of Philosophy 36 (1939): 337-345; Cooper, Harris, Larry V. Hedges, and Jeffrey C. Valentine, eds. The Handbook of Research Synthesis and Meta-Analysis . 2nd edition. New York: Russell Sage Foundation, 2009; Guzzo, Richard A., Susan E. Jackson and Raymond A. Katzell. “Meta-Analysis Analysis.” In Research in Organizational Behavior , Volume 9. (Greenwich, CT: JAI Press, 1987), pp 407-442; Lipsey, Mark W. and David B. Wilson. Practical Meta-Analysis . Thousand Oaks, CA: Sage Publications, 2001; Study Design 101. Meta-Analysis. The Himmelfarb Health Sciences Library, George Washington University; Timulak, Ladislav. “Qualitative Meta-Analysis.” In The SAGE Handbook of Qualitative Data Analysis . Uwe Flick, editor. (Los Angeles, CA: Sage, 2013), pp. 481-495; Walker, Esteban, Adrian V. Hernandez, and Micheal W. Kattan. "Meta-Analysis: It's Strengths and Limitations." Cleveland Clinic Journal of Medicine 75 (June 2008): 431-439.

Mixed-Method Design

• Narrative and non-textual information can add meaning to numeric data, while numeric data can add precision to narrative and non-textual information.
• Can utilize existing data while at the same time generating and testing a grounded theory approach to describe and explain the phenomenon under study.
• A broader, more complex research problem can be investigated because the researcher is not constrained by using only one method.
• The strengths of one method can be used to overcome the inherent weaknesses of another method.
• Can provide stronger, more robust evidence to support a conclusion or set of recommendations.
• May generate new knowledge new insights or uncover hidden insights, patterns, or relationships that a single methodological approach might not reveal.
• Produces more complete knowledge and understanding of the research problem that can be used to increase the generalizability of findings applied to theory or practice.
• A researcher must be proficient in understanding how to apply multiple methods to investigating a research problem as well as be proficient in optimizing how to design a study that coherently melds them together.
• Can increase the likelihood of conflicting results or ambiguous findings that inhibit drawing a valid conclusion or setting forth a recommended course of action [e.g., sample interview responses do not support existing statistical data].
• Because the research design can be very complex, reporting the findings requires a well-organized narrative, clear writing style, and precise word choice.
• Design invites collaboration among experts. However, merging different investigative approaches and writing styles requires more attention to the overall research process than studies conducted using only one methodological paradigm.
• Concurrent merging of quantitative and qualitative research requires greater attention to having adequate sample sizes, using comparable samples, and applying a consistent unit of analysis. For sequential designs where one phase of qualitative research builds on the quantitative phase or vice versa, decisions about what results from the first phase to use in the next phase, the choice of samples and estimating reasonable sample sizes for both phases, and the interpretation of results from both phases can be difficult.
• Due to multiple forms of data being collected and analyzed, this design requires extensive time and resources to carry out the multiple steps involved in data gathering and interpretation.

Burch, Patricia and Carolyn J. Heinrich. Mixed Methods for Policy Research and Program Evaluation . Thousand Oaks, CA: Sage, 2016; Creswell, John w. et al. Best Practices for Mixed Methods Research in the Health Sciences . Bethesda, MD: Office of Behavioral and Social Sciences Research, National Institutes of Health, 2010Creswell, John W. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 4th edition. Thousand Oaks, CA: Sage Publications, 2014; Domínguez, Silvia, editor. Mixed Methods Social Networks Research . Cambridge, UK: Cambridge University Press, 2014; Hesse-Biber, Sharlene Nagy. Mixed Methods Research: Merging Theory with Practice . New York: Guilford Press, 2010; Niglas, Katrin. “How the Novice Researcher Can Make Sense of Mixed Methods Designs.” International Journal of Multiple Research Approaches 3 (2009): 34-46; Onwuegbuzie, Anthony J. and Nancy L. Leech. “Linking Research Questions to Mixed Methods Data Analysis Procedures.” The Qualitative Report 11 (September 2006): 474-498; Tashakorri, Abbas and John W. Creswell. “The New Era of Mixed Methods.” Journal of Mixed Methods Research 1 (January 2007): 3-7; Zhanga, Wanqing. “Mixed Methods Application in Health Intervention Research: A Multiple Case Study.” International Journal of Multiple Research Approaches 8 (2014): 24-35 .

Observational Design

This type of research design draws a conclusion by comparing subjects against a control group, in cases where the researcher has no control over the experiment. There are two general types of observational designs. In direct observations, people know that you are watching them. Unobtrusive measures involve any method for studying behavior where individuals do not know they are being observed. An observational study allows a useful insight into a phenomenon and avoids the ethical and practical difficulties of setting up a large and cumbersome research project.

• Observational studies are usually flexible and do not necessarily need to be structured around a hypothesis about what you expect to observe [data is emergent rather than pre-existing].
• The researcher is able to collect in-depth information about a particular behavior.
• Can reveal interrelationships among multifaceted dimensions of group interactions.
• You can generalize your results to real life situations.
• Observational research is useful for discovering what variables may be important before applying other methods like experiments.
• Observation research designs account for the complexity of group behaviors.
• Reliability of data is low because seeing behaviors occur over and over again may be a time consuming task and are difficult to replicate.
• In observational research, findings may only reflect a unique sample population and, thus, cannot be generalized to other groups.
• There can be problems with bias as the researcher may only "see what they want to see."
• There is no possibility to determine "cause and effect" relationships since nothing is manipulated.
• Sources or subjects may not all be equally credible.
• Any group that is knowingly studied is altered to some degree by the presence of the researcher, therefore, potentially skewing any data collected.

Atkinson, Paul and Martyn Hammersley. “Ethnography and Participant Observation.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, eds. (Thousand Oaks, CA: Sage, 1994), pp. 248-261; Observational Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Patton Michael Quinn. Qualitiative Research and Evaluation Methods . Chapter 6, Fieldwork Strategies and Observational Methods. 3rd ed. Thousand Oaks, CA: Sage, 2002; Payne, Geoff and Judy Payne. "Observation." In Key Concepts in Social Research . The SAGE Key Concepts series. (London, England: Sage, 2004), pp. 158-162; Rosenbaum, Paul R. Design of Observational Studies . New York: Springer, 2010;Williams, J. Patrick. "Nonparticipant Observation." In The Sage Encyclopedia of Qualitative Research Methods . Lisa M. Given, editor.(Thousand Oaks, CA: Sage, 2008), pp. 562-563.

Philosophical Design

Understood more as an broad approach to examining a research problem than a methodological design, philosophical analysis and argumentation is intended to challenge deeply embedded, often intractable, assumptions underpinning an area of study. This approach uses the tools of argumentation derived from philosophical traditions, concepts, models, and theories to critically explore and challenge, for example, the relevance of logic and evidence in academic debates, to analyze arguments about fundamental issues, or to discuss the root of existing discourse about a research problem. These overarching tools of analysis can be framed in three ways:

• Ontology -- the study that describes the nature of reality; for example, what is real and what is not, what is fundamental and what is derivative?
• Epistemology -- the study that explores the nature of knowledge; for example, by what means does knowledge and understanding depend upon and how can we be certain of what we know?
• Axiology -- the study of values; for example, what values does an individual or group hold and why? How are values related to interest, desire, will, experience, and means-to-end? And, what is the difference between a matter of fact and a matter of value?
• Can provide a basis for applying ethical decision-making to practice.
• Functions as a means of gaining greater self-understanding and self-knowledge about the purposes of research.
• Brings clarity to general guiding practices and principles of an individual or group.
• Philosophy informs methodology.
• Refine concepts and theories that are invoked in relatively unreflective modes of thought and discourse.
• Beyond methodology, philosophy also informs critical thinking about epistemology and the structure of reality (metaphysics).
• Offers clarity and definition to the practical and theoretical uses of terms, concepts, and ideas.
• Limited application to specific research problems [answering the "So What?" question in social science research].
• Analysis can be abstract, argumentative, and limited in its practical application to real-life issues.
• While a philosophical analysis may render problematic that which was once simple or taken-for-granted, the writing can be dense and subject to unnecessary jargon, overstatement, and/or excessive quotation and documentation.
• There are limitations in the use of metaphor as a vehicle of philosophical analysis.
• There can be analytical difficulties in moving from philosophy to advocacy and between abstract thought and application to the phenomenal world.

Burton, Dawn. "Part I, Philosophy of the Social Sciences." In Research Training for Social Scientists . (London, England: Sage, 2000), pp. 1-5; Chapter 4, Research Methodology and Design. Unisa Institutional Repository (UnisaIR), University of South Africa; Jarvie, Ian C., and Jesús Zamora-Bonilla, editors. The SAGE Handbook of the Philosophy of Social Sciences . London: Sage, 2011; Labaree, Robert V. and Ross Scimeca. “The Philosophical Problem of Truth in Librarianship.” The Library Quarterly 78 (January 2008): 43-70; Maykut, Pamela S. Beginning Qualitative Research: A Philosophic and Practical Guide . Washington, DC: Falmer Press, 1994; McLaughlin, Hugh. "The Philosophy of Social Research." In Understanding Social Work Research . 2nd edition. (London: SAGE Publications Ltd., 2012), pp. 24-47; Stanford Encyclopedia of Philosophy . Metaphysics Research Lab, CSLI, Stanford University, 2013.

Sequential Design

• The researcher has a limitless option when it comes to sample size and the sampling schedule.
• Due to the repetitive nature of this research design, minor changes and adjustments can be done during the initial parts of the study to correct and hone the research method.
• This is a useful design for exploratory studies.
• There is very little effort on the part of the researcher when performing this technique. It is generally not expensive, time consuming, or workforce intensive.
• Because the study is conducted serially, the results of one sample are known before the next sample is taken and analyzed. This provides opportunities for continuous improvement of sampling and methods of analysis.
• The sampling method is not representative of the entire population. The only possibility of approaching representativeness is when the researcher chooses to use a very large sample size significant enough to represent a significant portion of the entire population. In this case, moving on to study a second or more specific sample can be difficult.
• The design cannot be used to create conclusions and interpretations that pertain to an entire population because the sampling technique is not randomized. Generalizability from findings is, therefore, limited.
• Difficult to account for and interpret variation from one sample to another over time, particularly when using qualitative methods of data collection.

Betensky, Rebecca. Harvard University, Course Lecture Note slides; Bovaird, James A. and Kevin A. Kupzyk. "Sequential Design." In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 1347-1352; Cresswell, John W. Et al. “Advanced Mixed-Methods Research Designs.” In Handbook of Mixed Methods in Social and Behavioral Research . Abbas Tashakkori and Charles Teddle, eds. (Thousand Oaks, CA: Sage, 2003), pp. 209-240; Henry, Gary T. "Sequential Sampling." In The SAGE Encyclopedia of Social Science Research Methods . Michael S. Lewis-Beck, Alan Bryman and Tim Futing Liao, editors. (Thousand Oaks, CA: Sage, 2004), pp. 1027-1028; Nataliya V. Ivankova. “Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice.” Field Methods 18 (February 2006): 3-20; Bovaird, James A. and Kevin A. Kupzyk. “Sequential Design.” In Encyclopedia of Research Design . Neil J. Salkind, ed. Thousand Oaks, CA: Sage, 2010; Sequential Analysis. Wikipedia.

Systematic Review

• A systematic review synthesizes the findings of multiple studies related to each other by incorporating strategies of analysis and interpretation intended to reduce biases and random errors.
• The application of critical exploration, evaluation, and synthesis methods separates insignificant, unsound, or redundant research from the most salient and relevant studies worthy of reflection.
• They can be use to identify, justify, and refine hypotheses, recognize and avoid hidden problems in prior studies, and explain data inconsistencies and conflicts in data.
• Systematic reviews can be used to help policy makers formulate evidence-based guidelines and regulations.
• The use of strict, explicit, and pre-determined methods of synthesis, when applied appropriately, provide reliable estimates about the effects of interventions, evaluations, and effects related to the overarching research problem investigated by each study under review.
• Systematic reviews illuminate where knowledge or thorough understanding of a research problem is lacking and, therefore, can then be used to guide future research.
• The accepted inclusion of unpublished studies [i.e., grey literature] ensures the broadest possible way to analyze and interpret research on a topic.
• Results of the synthesis can be generalized and the findings extrapolated into the general population with more validity than most other types of studies .
• Systematic reviews do not create new knowledge per se; they are a method for synthesizing existing studies about a research problem in order to gain new insights and determine gaps in the literature.
• The way researchers have carried out their investigations [e.g., the period of time covered, number of participants, sources of data analyzed, etc.] can make it difficult to effectively synthesize studies.
• The inclusion of unpublished studies can introduce bias into the review because they may not have undergone a rigorous peer-review process prior to publication. Examples may include conference presentations or proceedings, publications from government agencies, white papers, working papers, and internal documents from organizations, and doctoral dissertations and Master's theses.

Denyer, David and David Tranfield. "Producing a Systematic Review." In The Sage Handbook of Organizational Research Methods .  David A. Buchanan and Alan Bryman, editors. ( Thousand Oaks, CA: Sage Publications, 2009), pp. 671-689; Foster, Margaret J. and Sarah T. Jewell, editors. Assembling the Pieces of a Systematic Review: A Guide for Librarians . Lanham, MD: Rowman and Littlefield, 2017; Gough, David, Sandy Oliver, James Thomas, editors. Introduction to Systematic Reviews . 2nd edition. Los Angeles, CA: Sage Publications, 2017; Gopalakrishnan, S. and P. Ganeshkumar. “Systematic Reviews and Meta-analysis: Understanding the Best Evidence in Primary Healthcare.” Journal of Family Medicine and Primary Care 2 (2013): 9-14; Gough, David, James Thomas, and Sandy Oliver. "Clarifying Differences between Review Designs and Methods." Systematic Reviews 1 (2012): 1-9; Khan, Khalid S., Regina Kunz, Jos Kleijnen, and Gerd Antes. “Five Steps to Conducting a Systematic Review.” Journal of the Royal Society of Medicine 96 (2003): 118-121; Mulrow, C. D. “Systematic Reviews: Rationale for Systematic Reviews.” BMJ 309:597 (September 1994); O'Dwyer, Linda C., and Q. Eileen Wafford. "Addressing Challenges with Systematic Review Teams through Effective Communication: A Case Report." Journal of the Medical Library Association 109 (October 2021): 643-647; Okoli, Chitu, and Kira Schabram. "A Guide to Conducting a Systematic Literature Review of Information Systems Research."  Sprouts: Working Papers on Information Systems 10 (2010); Siddaway, Andy P., Alex M. Wood, and Larry V. Hedges. "How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-analyses, and Meta-syntheses." Annual Review of Psychology 70 (2019): 747-770; Torgerson, Carole J. “Publication Bias: The Achilles’ Heel of Systematic Reviews?” British Journal of Educational Studies 54 (March 2006): 89-102; Torgerson, Carole. Systematic Reviews . New York: Continuum, 2003.

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Strategic Planning: Case Studies

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Instructor: Mike Figliuolo

Have you ever wanted to see strategic planning frameworks applied to real situations? Would you find it helpful to see an integrated strategic case study for an organization like yours? Go more deeply into the strategic planning process by diving into three real-world cases studies. Join instructor Mike Figliuolo as he shares examples from a consumer goods business, a professional services company, and a nonprofit organization. For each case he shares five key aspects of the strategy planning process: defining the strategic environment, determining how to compete, evaluating and prioritizing opportunities, assessing the initiative portfolio, and organizing and allocating resources. Use these thorough examples to think through how you would apply strategic planning to your own organization.

The essential components of a successful L&D strategy

Over the past decade, the global workforce has been continually evolving because of a number of factors. An increasingly competitive business landscape, rising complexity, and the digital revolution are reshaping the mix of employees. Meanwhile, persistent uncertainty, a multigenerational workforce, and a shorter shelf life for knowledge have placed a premium on reskilling and upskilling. The shift to a digital, knowledge-based economy means that a vibrant workforce is more important than ever: research suggests that a very significant percentage of market capitalization in public companies is based on intangible assets—skilled employees, exceptional leaders, and knowledge. 1 Intangible Asset Market Value Study, Ocean Tomo.

Learning and development—From evolution to revolution

We began in 2014 by surveying 1,500 executives about capability building. In 2016, we added 120 L&D leaders at 91 organizations to our database, gathering information on their traditional training strategies and aspirations for future programs. We also interviewed 15 chief learning officers or L&D heads at major companies.

Historically, the L&D function has been relatively successful in helping employees build skills and perform well in their existing roles. The main focus of L&D has been on upskilling. However, the pace of change continues to accelerate; McKinsey research estimates that as many as 800 million jobs could be displaced by automation by 2030.

Employee roles are expected to continue evolving, and a large number of people will need to learn new skills to remain employable. Unsurprisingly, our research confirmed our initial hypothesis: corporate learning must undergo revolutionary changes over the next few years to keep pace with constant technological advances. In addition to updating training content, companies must increase their focus on blended-learning solutions, which combine digital learning, fieldwork, and highly immersive classroom sessions. With the growth of user-friendly digital-learning platforms, employees will take more ownership of their professional development, logging in to take courses when the need arises rather than waiting for a scheduled classroom session.

Such innovations will require companies to devote more resources to training: our survey revealed that 60 percent of respondents plan to increase L&D spending over the next few years, and 66 percent want to boost the number of employee-training hours. As they commit more time and money, companies must ensure that the transformation of the L&D function proceeds smoothly.

All of these trends have elevated the importance of the learning-and-development (L&D) function. We undertook several phases of research to understand trends and current priorities in L&D (see sidebar, “Learning and development—From evolution to revolution”). Our efforts highlighted how the L&D function is adapting to meet the changing needs of organizations, as well as the growing levels of investment in professional development.

To get the most out of investments in training programs and curriculum development, L&D leaders must embrace a broader role within the organization and formulate an ambitious vision for the function. An essential component of this effort is a comprehensive, coordinated strategy that engages the organization and encourages collaboration. The ACADEMIES© framework, which consists of nine dimensions of L&D, can help to strengthen the function and position it to serve the organization more effectively.

The strategic role of L&D

One of L&D’s primary responsibilities is to manage the development of people—and to do so in a way that supports other key business priorities. L&D’s strategic role spans five areas (Exhibit 1). 2 Nick van Dam, 25 Best Practices in Learning & Talent Development , second edition, Raleigh, NC: Lulu Publishing, 2008.

• Attract and retain talent. Traditionally, learning focused solely on improving productivity. Today, learning also contributes to employability. Over the past several decades, employment has shifted from staying with the same company for a lifetime to a model where workers are being retained only as long as they can add value to an enterprise. Workers are now in charge of their personal and professional growth and development—one reason that people list “opportunities for learning and development” among the top criteria for joining an organization. Conversely, a lack of L&D is one of the key reasons people cite for leaving a company.
• Develop people capabilities. Human capital requires ongoing investments in L&D to retain its value. When knowledge becomes outdated or forgotten—a more rapid occurrence today—the value of human capital declines and needs to be supplemented by new learning and relevant work experiences. 3 Gary S. Becker, “Investment in human capital: A theoretical analysis,” Journal of Political Economy , 1962, Volume 70, Number 5, Part 2, pp. 9–49, jstor.org. Companies that make investments in the next generation of leaders are seeing an impressive return. Research indicates that companies in the top quartile of leadership outperform other organizations by nearly two times on earnings before interest, taxes, depreciation, and amortization (EBITDA). Moreover, companies that invest in developing leaders during significant transformations are 2.4 times more likely to hit their performance targets . 4 “ Economic Conditions Snapshot, June 2009: McKinsey Global Survey results ,” June 2009.
• Create a values-based culture. As the workforce in many companies becomes increasingly virtual and globally dispersed, L&D can help to build a values-based culture and a sense of community. In particular, millennials are particularly interested in working for values-based, sustainable enterprises that contribute to the welfare of society.
• Build an employer brand. An organization’s brand is one of its most important assets and conveys a great deal about the company’s success in the market, financial strengths, position in the industry, and products and services. Investments in L&D can help to enhance company’s brand and boost its reputation as an “employer of choice.” As large segments of the workforce prepare to retire, employers must work harder to compete for a shrinking talent pool. To do so, they must communicate their brand strength explicitly through an employer value proposition.
• Motivate and engage employees. The most important way to engage employees is to provide them with opportunities to learn and develop new competencies. Research suggests that lifelong learning contributes to happiness. 5 John Coleman, “Lifelong learning is good for your health, your wallet, and your social life,” Harvard Business Review , February 7, 2017, hbr.org. When highly engaged employees are challenged and given the skills to grow and develop within their chosen career path, they are more likely to be energized by new opportunities at work and satisfied with their current organization.

The L&D function in transition

Over the years, we have identified and field-tested nine dimensions that contribute to a strong L&D function. We combined these dimensions to create the ACADEMIES framework, which covers all aspects of L&D functions, from setting aspirations to measuring impact (Exhibit 2). Although many companies regularly execute on several dimensions of this framework, our recent research found that only a few companies are fully mature in all dimensions.

1. Alignment with business strategy

One of an L&D executive’s primary tasks is to develop and shape a learning strategy based on the company’s business and talent strategies. The learning strategy seeks to support professional development and build capabilities across the company, on time, and in a cost-effective manner. In addition, the learning strategy can enhance the company culture and encourage employees to live the company’s values.

For many organizations, the L&D function supports the implementation of the business strategy. For example, if one of the business strategies is a digital transformation, L&D will focus on building the necessary people capabilities to make that possible.

Every business leader would agree that L&D must align with a company’s overall priorities. Yet research has found that many L&D functions fall short on this dimension. Only 40 percent of companies say that their learning strategy is aligned with business goals. 6 Human Capital Management Excellence Conference 2018, Brandon Hall Group. For 60 percent, then, learning has no explicit connection to the company’s strategic objectives. L&D functions may be out of sync with the business because of outdated approaches or because budgets have been based on priorities from previous years rather than today’s imperatives, such as a digital transformation.

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To be effective, L&D must take a hard look at employee capabilities and determine which are most essential to support the execution of the company’s business strategy. L&D leaders should reevaluate this alignment on a yearly basis to ensure they are creating a people-capability agenda that truly reflects business priorities and strategic objectives.

2. Co-ownership between business units and HR

With new tools and technologies constantly emerging, companies must become more agile, ready to adapt their business processes and practices. L&D functions must likewise be prepared to rapidly launch capability-building programs—for example, if new business needs suddenly arise or staff members require immediate training on new technologies such as cloud-based collaboration tools.

L&D functions can enhance their partnership with business leaders by establishing a governance structure in which leadership from both groups share responsibility for defining, prioritizing, designing, and securing funds for capability-building programs. Under this governance model, a company’s chief experience officer (CXO), senior executives, and business-unit heads will develop the people-capability agenda for segments of the enterprise and ensure that it aligns with the company’s overall strategic goals. Top business executives will also help firmly embed the learning function and all L&D initiatives in the organizational culture. The involvement of senior leadership enables full commitment to the L&D function’s longer-term vision.

3. Assessment of capability gaps and estimated value

After companies identify their business priorities, they must verify that their employees can deliver on them—a task that may be more difficult than it sounds. Some companies make no effort to assess employee capabilities, while others do so only at a high level. Conversations with L&D, HR, and senior executives suggest that many companies are ineffective or indifferent at assessing capability gaps, especially when it comes to senior leaders and midlevel managers.

The most effective companies take a deliberate, systematic approach to capability assessment. At the heart of this process is a comprehensive competency or capability model based on the organization’s strategic direction. For example, a key competency for a segment of an e-commerce company’s workforce could be “deep expertise in big data and predictive analytics.”

After identifying the most essential capabilities for various functions or job descriptions, companies should then assess how employees rate in each of these areas. L&D interventions should seek to close these capability gaps.

4. Design of learning journeys

Most corporate learning is delivered through a combination of digital-learning formats and in-person sessions. While our research indicates that immersive L&D experiences in the classroom still have immense value, leaders have told us that they are incredibly busy “from eight to late,” which does not give them a lot of time to sit in a classroom. Furthermore, many said that they prefer to develop and practice new skills and behaviors in a “safe environment,” where they don’t have to worry about public failures that might affect their career paths.

Traditional L&D programs consisted of several days of classroom learning with no follow-up sessions, even though people tend to forget what they have learned without regular reinforcement. As a result, many L&D functions are moving away from stand-alone programs by designing learning journeys—continuous learning opportunities that take place over a period of time and include L&D interventions such as fieldwork, pre- and post-classroom digital learning, social learning, on-the-job coaching and mentoring, and short workshops. The main objectives of a learning journey are to help people develop the required new competencies in the most effective and efficient way and to support the transfer of learning to the job.

5. Execution and scale-up

An established L&D agenda consists of a number of strategic initiatives that support capability building and are aligned with business goals, such as helping leaders develop high-performing teams or roll out safety training. The successful execution of L&D initiatives on time and on budget is critical to build and sustain support from business leaders.

L&D functions often face an overload of initiatives and insufficient funding. L&D leadership needs to maintain an ongoing discussion with business leaders about initiatives and priorities to ensure the requisite resources and support.

Many new L&D initiatives are initially targeted to a limited audience. A successful execution of a small pilot, such as an online orientation program for a specific audience, can lead to an even bigger impact once the program is rolled out to the entire enterprise. The program’s cost per person declines as companies benefit from economies of scale.

6. Measurement of impact on business performance

A learning strategy’s execution and impact should be measured using key performance indicators (KPIs). The first indicator looks at business excellence: how closely aligned all L&D initiatives and investments are with business priorities. The second KPI looks at learning excellence: whether learning interventions change people’s behavior and performance. Last, an operational-excellence KPI measures how well investments and resources in the corporate academy are used.

Accurate measurement is not simple, and many organizations still rely on traditional impact metrics such as learning-program satisfaction and completion scores. But high-performing organizations focus on outcomes-based metrics such as impact on individual performance, employee engagement, team effectiveness, and business-process improvement.

We have identified several lenses for articulating and measuring learning impact:

• Strategic alignment: How effectively does the learning strategy support the organization’s priorities?
• Capabilities: How well does the L&D function help colleagues build the mind-sets, skills, and expertise they need most? This impact can be measured by assessing people’s capability gaps against a comprehensive competency framework.
• Organizational health: To what extent does learning strengthen the overall health and DNA of the organization? Relevant dimensions of the McKinsey Organizational Health Index can provide a baseline.
• Individual peak performance: Beyond raw capabilities, how well does the L&D function help colleagues achieve maximum impact in their role while maintaining a healthy work-life balance?

Access to big data provides L&D functions with more opportunities to assess and predict the business impact of their interventions.

7. Integration of L&D interventions into HR processes

Just as L&D corporate-learning activities need to be aligned with the business, they should also be an integral part of the HR agenda. L&D has an important role to play in recruitment, onboarding, performance management, promotion, workforce, and succession planning. Our research shows that at best, many L&D functions have only loose connections to annual performance reviews and lack a structured approach and follow-up to performance-management practices.

L&D leadership must understand major HR management practices and processes and collaborate closely with HR leaders. The best L&D functions use consolidated development feedback from performance reviews as input for their capability-building agenda. A growing number of companies are replacing annual performance appraisals with frequent, in-the-moment feedback. 7 HCM outlook 2018 , Brandon Hall Group. This is another area in which the L&D function can help managers build skills to provide development feedback effectively.

Elevating Learning & Development: Insights and Practical Guidance from the Field

Another example is onboarding. Companies that have developed high-impact onboarding processes score better on employee engagement and satisfaction and lose fewer new hires. 8 HCM outlook 2018 , Brandon Hall Group. The L&D function can play a critical role in onboarding—for example, by helping people build the skills to be successful in their role, providing new hires with access to digital-learning technologies, and connecting them with other new hires and mentors.

8. Enabling of the 70:20:10 learning framework

Many L&D functions embrace a framework known as “70:20:10,” in which 70 percent of learning takes place on the job, 20 percent through interaction and collaboration, and 10 percent through formal-learning interventions such as classroom training and digital curricula. These percentages are general guidelines and vary by industry and organization. L&D functions have traditionally focused on the formal-learning component.

Today, L&D leaders must design and implement interventions that support informal learning, including coaching and mentoring, on-the-job instruction, apprenticeships, leadership shadowing, action-based learning, on-demand access to digital learning, and lunch-and-learn sessions. Social technologies play a growing role in connecting experts and creating and sharing knowledge.

9. Systems and learning technology applications

The most significant enablers for just-in-time learning are technology platforms and applications. Examples include next-generation learning-management systems, virtual classrooms, mobile-learning apps, embedded performance-support systems, polling software, learning-video platforms, learning-assessment and -measurement platforms, massive open online courses (MOOCs), and small private online courses (SPOCs), to name just a few.

The learning-technology industry has moved entirely to cloud-based platforms, which provide L&D functions with unlimited opportunities to plug and unplug systems and access the latest functionality without having to go through lengthy and expensive implementations of an on-premises system. L&D leaders must make sure that learning technologies fit into an overall system architecture that includes functionality to support the entire talent cycle, including recruitment, onboarding, performance management, L&D, real-time feedback tools, career management, succession planning, and rewards and recognition.

L&D leaders are increasingly aware of the challenges created by the fourth industrial revolution (technologies that are connecting the physical and digital worlds), but few have implemented large-scale transformation programs. Instead, most are slowly adapting their strategy and curricula as needed. However, with technology advancing at an ever-accelerating pace, L&D leaders can delay no longer: human capital is more important than ever and will be the primary factor in sustaining competitive advantage over the next few years.

The leaders of L&D functions need to revolutionize their approach by creating a learning strategy that aligns with business strategy and by identifying and enabling the capabilities needed to achieve success. This approach will result in robust curricula that employ every relevant and available learning method and technology. The most effective companies will invest in innovative L&D programs, remain flexible and agile, and build the human talent needed to master the digital age.

These changes entail some risk, and perhaps some trial and error, but the rewards are great.

A version of this chapter was published in TvOO Magazine in September 2016. It is also included in Elevating Learning & Development: Insights and Practical Guidance from the Field , August 2018.

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Jacqueline Brassey is director of Enduring Priorities Learning in McKinsey’s Amsterdam office, where Nick van Dam is an alumnus and senior adviser to the firm as well as professor and chief of the IE University (Madrid) Center for Learning Innovation; Lisa Christensen is a senior learning expert in the San Francisco office.

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Best practices associated with medical device regulatory strategy success: a case study.

Jonathan P. Ward , Liberty University Follow

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Jonathan Wilson

medical device, regualtory strategy, strategic planning, FDA, market access

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Recommended citation.

Ward, Jonathan P., "Best Practices Associated with Medical Device Regulatory Strategy Success: A Case Study" (2024). Doctoral Dissertations and Projects . 5732. https://digitalcommons.liberty.edu/doctoral/5732

In the evolving medical device industry, understanding how to achieve effective regulatory strategies is crucial. This study explored the foundations of regulatory strategy success in the United States, using qualitative insights from regulatory affairs professionals and industry investors. It identified operational, leadership, product design, and external factors essential for developing and implementing successful regulatory strategies. Key findings highlighted the importance of financial planning, agile regualtory process management, strategic knowledge integration, and proactive engagement with regulatory authorities. The study also pointed to the role of business ecosystems in supporting regulatory outcomes, suggesting a strategic planning approach that aligns product design with quality and business goals. This research contributed to the academic and practical discussion on regulatory strategy in the medical device sector, providing insights for stakeholders from entrepreneurs to investors. It shed light on the complexity of regulatory pathways in the United States and its influence on market access, encouraging further research on the impact of technological advancements and global regulatory changes on strategy effectiveness.

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Game-theory-based design and analysis of a peer-to-peer energy exchange system between multi-solar-hydrogen-battery storage electric vehicle charging stations.

1. Introduction

2. literature review.

• Proposal of a P2P optimal dispatch strategy rooted in game theory for SHS-EVCS, aimed at achieving greater economic returns by ensuring income equilibrium across multiple SHS-EVCSs.
• Design and implementation of a CPLEX solver specifically to solve the linear-based simulation, predominantly employed for addressing locational queries. This solver is resolved and subsequently integrated with an SHS-EVCHs model to enhance its applicability.
• This study examines the synergistic collaborations and operational dynamics among diverse stakeholders to elucidate the shared economic benefits, with a particular emphasis on methodologies reliant on SHS-EVSC for the facilitation of energy sharing and the optimization of economic dispatch.

3. Problem Formulation

3.1. objective function.

• C n , t E H is hydrogen cost;
• C n , t F C is fuel cell generator cost;
• C n , t g r i d is grid cost;
• C n , t P v is solar cost;
• C n , t p 2 p is p2p trading cost;
• C t B e s is battery energy storage;
• C n , t s e l l is sale revenue.

3.2. Hydrogen System Model

3.2.1. electrolyzer model, 3.2.2. fuel cell generator model, 3.2.3. hydrogen storage tank model, 3.3. photovoltaic model, 3.4. battery energy storage model, 3.5. p2p trading model, 3.5.1. p2p internal trading revenue [ 13 ], 3.5.2. p2g trading with grid, 3.5.3. p2p transaction energy trading cost, 3.5.4. p2p transactive energy trading constraints, 3.6. game theory model.

ρ = ρ 1,1 c s … ρ N , t c s … ρ n , t c s … ρ N , t c s … ρ N , T c s All gamers’ pricing at different times. P = P 1,1 c s … P N , t c s … P n , t c s … P N , t c s … P N , T c s All gamers’ transaction value.

3.7. Model Constraints

3.7.1. hydrogen constraints.

• Electrolyzer Constraint: u h s ( t ) E h s , m i n o ≤ E a e o ( t ) ≤ u h s ( t ) E h s , m a x o (15) where E h s , m i n o is the lower output limit of the electrolyzer, E h s , m a x o is the upper output limit of the electrolyzer, and u h s ( t ) is the state variable of the electrolyzer.
• Hydrogen tank constraints: u h s i n ( t ) E h s , m i n i n ≤ E h s i n ( t ) ≤ u h s i n ( t ) E h s , m a x i n u h s o u t ( t ) E h s , m i n o u t ≤ E h s o u t ( t ) ≤ u h s o u t ( t ) E h s , m a x o u t E h s , m i n ≤ E h s ( t ) ≤ E h s , m a x u h s i n t + u h s o u t ( t ) ≤ 1 (16) where E h s , m i n i n is the lower intput limit of the electrolyzer, E h s , m a x i n is the upper input limit of the electrolyzer, u h s i n is the hydrogen tank storage state variable, and u h s o u t is the hydrogen tank release state variable.
• Fuel cell generator constraint: 0 ≤ P F C o u t ( t ) ≤ P F C , m a x o u t (17) where P F C , m a x o u t is the maximum power output for the fuel cell generator.

3.7.2. Photovoltaic Constraint

3.7.3. battery storage constraint, 4. case study, 5. results and discussion, 6. conclusions, author contributions, data availability statement, conflicts of interest, nomenclature.

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Duan, L.; Yuan, Y.; Taylor, G.; Lai, C.S. Game-Theory-Based Design and Analysis of a Peer-to-Peer Energy Exchange System between Multi-Solar-Hydrogen-Battery Storage Electric Vehicle Charging Stations. Electronics 2024 , 13 , 2392. https://doi.org/10.3390/electronics13122392

Duan L, Yuan Y, Taylor G, Lai CS. Game-Theory-Based Design and Analysis of a Peer-to-Peer Energy Exchange System between Multi-Solar-Hydrogen-Battery Storage Electric Vehicle Charging Stations. Electronics . 2024; 13(12):2392. https://doi.org/10.3390/electronics13122392

Duan, Lijia, Yujie Yuan, Gareth Taylor, and Chun Sing Lai. 2024. "Game-Theory-Based Design and Analysis of a Peer-to-Peer Energy Exchange System between Multi-Solar-Hydrogen-Battery Storage Electric Vehicle Charging Stations" Electronics 13, no. 12: 2392. https://doi.org/10.3390/electronics13122392

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Spatial distribution of pesticide use based on crop rotation data in La Plata River basin: a case study from an agricultural region of Uruguay

• Published: 20 June 2024
• Volume 196 , article number  633 , ( 2024 )

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• Camila Fernández Nion   ORCID: orcid.org/0000-0002-1984-5455 1 &
• Ismael Díaz Isasa   ORCID: orcid.org/0000-0003-3176-1753 1  

The intensive global use of pesticides presents an escalating threat to human health, ecosystems, and water quality. To develop national and local environmental management strategies for mitigating pollution caused by pesticides, it is essential to understand the quantities, timing, and location of their application. This study aims to estimate the spatial distribution of pesticide use in an agricultural region of La Plata River basin in Uruguay. Estimates of pesticide use were made by surveying doses applied to each crop. This information was spatialized through identifying agricultural rotations using remote sensing techniques. The study identified the 60 major agricultural rotations in the region and mapped the use and application amount of the nine most significant active ingredients (glyphosate, 2,4-dichlorophenoxyacetic acid, flumioxazin, S-metolachlor, clethodim, flumetsulam, triflumuron, chlorantraniliprole, and fipronil). The results reveal that glyphosate is the most extensively used pesticide (53.5% of the area) and highest amount of use (> 1.44 kg/ha). Moreover, in 19% of the area, at least seven active ingredients are applied in crop rotations. This study marks the initial step in identifying rotations and estimating pesticide applications with high spatial resolution at a regional scale in agricultural regions of La Plata River basin. The results improve the understanding of pesticide spatial distribution based on data obtained from agronomists, technicians, and producers and provide a replicable methodological approach for other geographic and productive contexts. Generating baseline information is key to environmental management and decision making, towards the design of more robust monitoring systems and human exposure assessment.

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Data availability

No datasets were generated or analysed during the current study.

National Directorate for Environmental Quality and Assessment (DINACEA, in Spanish), Ministry of Environment, provides land use/land cover information with characteristics mentioned above ( https://www.ambiente.gub.uy/geoservicios/ ).

In this research, the term “Users” comprises agronomists, technicians, and producers who manage pesticide usage in the study area.

Summer crops that were not preceded by a winter crop during the previous season, but by pastures or natural grassland. These other uses do not control target species as frequently as crop production, and consequently plantations that come right after them require greater pre-sowing pesticide application.

Summer crops that were preceded by a winter crop during the previous season.

Pesticide users interviewees were selected considering diversity in terms of geographical distribution within the study region and were not individual producers. Users had a minimum of 5 years of work experience in the study area and met one or more of the following criteria: (a) work for companies that manage at least 5000 ha for production, (b) work for companies that provide assistance for several producers, or (c) manage more than two individual properties in the study area which account for at least 2000 ha.

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Acknowledgements

We thank our colleague Agronomist Juan Marcos Olivera for his assistance with remote sensing, and the agronomists and technicians consulted who contributed with their knowledge and work in the study area.

Camila Fernández Nion has received research support from the Uruguayan National Research and Innovation Agency (ANII). Ismael Díaz Isasa was supported by the National Researchers System (SNI-ANII) and PEDECIBA-Geociencias.

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Camila Fernández Nion and Ismael Díaz Isasa conceived and designed the analysis, collected the data and performed the analysis. Camila Fernández Nion wrote the main manuscript text and prepared the figures. Both authors reviewed and made contributions to the manuscript.

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Fernández Nion, C., Díaz Isasa, I. Spatial distribution of pesticide use based on crop rotation data in La Plata River basin: a case study from an agricultural region of Uruguay. Environ Monit Assess 196 , 633 (2024). https://doi.org/10.1007/s10661-024-12759-z

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Recurrent disease detection after resection of pancreatic ductal adenocarcinoma using a recurrence-focused surveillance strategy (RADAR-PANC): protocol of an international randomized controlled trial according to the Trials within Cohorts design

• L. A. Daamen 1 , 2 ,
• I. W. J. M. van Goor   ORCID: orcid.org/0000-0003-3770-9841 1 , 3 ,
• V. P. Groot 1 ,
• P. C. M. Andel 1 ,
• L. A. A. Brosens 4 , 5 ,
• O. R. Busch 6 , 7 ,
• G. A. Cirkel 8 ,
• N. Haj Mohammad 8 ,
• H. D. Heerkens 9 ,
• I. H. J. T. de Hingh 10 ,
• F. Hoogwater 11 ,
• H. W. M. van Laarhoven 7 , 12 ,
• G. J. Meijer 3 ,
• V. E. de Meijer 11 ,
• R. Pande 13 ,
• K. J. Roberts 13 , 14 ,
• J. Stoker 7 , 15 ,
• M. W. J. Stommel 16 ,
• G. van Tienhoven 7 , 17 ,
• R. C. Verdonk 18 ,
• H. M. Verkooijen 2 ,
• F. J. Wessels 19 ,
• J. W. Wilmink 7 , 12 ,
• M. G. Besselink 6 , 7 ,
• H. C. van Santvoort 1 ,
• M. P. W. Intven 3 &
• I. Q. Molenaar 1

for the Dutch Pancreatic Cancer Group

Trials volume  25 , Article number:  401 ( 2024 ) Cite this article

Metrics details

Disease recurrence remains one of the biggest concerns in patients after resection of pancreatic ductal adenocarcinoma (PDAC). Despite (neo)adjuvant systemic therapy, most patients experience local and/or distant PDAC recurrence within 2 years. High-level evidence regarding the benefits of recurrence-focused surveillance after PDAC resection is missing, and the impact of early detection and treatment of recurrence on survival and quality of life is unknown. In most European countries, recurrence-focused follow-up after surgery for PDAC is currently lacking. Consequently, guidelines regarding postoperative surveillance are based on expert opinion and other low-level evidence. The recent emergence of more potent local and systemic treatment options for PDAC recurrence has increased interest in early diagnosis. To determine whether early detection and treatment of recurrence can lead to improved survival and quality of life, we designed an international randomized trial.

This randomized controlled trial is nested within an existing prospective cohort in pancreatic cancer centers in the Netherlands (Dutch Pancreatic Cancer Project; PACAP) and the United Kingdom (UK) (Pancreas Cancer: Observations of Practice and survival; PACOPS) according to the “Trials within Cohorts” (TwiCs) design. All PACAP/PACOPS participants with a macroscopically radical resection (R0-R1) of histologically confirmed PDAC, who provided informed consent for TwiCs and participation in quality of life questionnaires, are included. Participants randomized to the intervention arm are offered recurrence-focused surveillance, existing of clinical evaluation, serum cancer antigen (CA) 19–9 testing, and contrast-enhanced computed tomography (CT) of chest and abdomen every three months during the first 2 years after surgery. Participants in the control arm of the study will undergo non-standardized clinical follow-up, generally consisting of clinical follow-up with imaging and serum tumor marker testing only in case of onset of symptoms, according to local practice in the participating hospital. The primary endpoint is overall survival. Secondary endpoints include quality of life, patterns of recurrence, compliance to and costs of recurrence-focused follow-up, and the impact on recurrence-focused treatment.

The RADAR-PANC trial will be the first randomized controlled trial to generate high level evidence for the current clinical equipoise regarding the value of recurrence-focused postoperative surveillance with serial tumor marker testing and routine imaging in patients after PDAC resection. The Trials within Cohort design allows us to study the acceptability of recurrence-focused surveillance among cohort participants and increases the generalizability of findings to the general population. While it is strongly encouraged to offer all trial participants treatment at time of recurrence diagnosis, type and timing of treatment will be determined through shared decision-making. This might reduce the potential survival benefits of recurrence-focused surveillance, although insights into the impact on patients’ quality of life will be obtained.

Trial registration

Clinicaltrials.gov, NCT04875325 . Registered on May 6, 2021.

Peer Review reports

Administrative information

Note: the numbers in curly brackets in this protocol refer to SPIRIT checklist item numbers. The order of the items has been modified to group similar items (see http://www.equator-network.org/reporting-guidelines/spirit-2013-statement-defining-standard-protocol-items-for-clinical-trials/ ).

Introduction

Background and rationale {6a}.

Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer related mortality in Europe for both men and women and is expected to rise to the second position by 2030 [ 1 , 2 ]. For patients with localized disease, radical resection combined with systemic therapy offers the best chance of long-term survival and can be curative in some cases [ 3 , 4 ]. However, almost all patients experience local and/or distant disease recurrence at some point during follow-up [ 5 , 6 , 7 , 8 ]. Therefore, even after PDAC resection, median overall survival remains less than 2 years, with only 4% of patients surviving over 10 years [ 3 , 9 ].

Current research is mainly focused on management of primary or metastatic PDAC, with most trials evaluating treatment strategies for primary resectable or locally advanced PDAC. Studies regarding the efficacy and optimal timing of treatment for recurrence are scarce. As a result, prospective evidence on survival benefits following early detection and treatment of recurrence is lacking and the effect on quality of life (QoL) remains unknown. This has led to conflicting recommendations on follow-up after resection of PDAC, and current PDAC guidelines regarding postoperative surveillance are based on expert opinion and other low-level evidence (Table  1 ) [ 10 , 11 , 12 , 13 , 14 , 15 , 16 ].

Recent introduction of more potent systemic therapies, such as fluorouracil, leucovorin, irinotecan and oxaliplatin (FOLFIRINOX) and gemcitabine/nab-paclitaxel combination therapy, and local ablative therapies, such as stereotactic body radiation therapy (SBRT), has opened the field for treatment of PDAC recurrence [ 4 , 17 ]. Despite a lack of evidence, this has resulted in an increased interest in recurrence-focused postoperative surveillance with routine imaging and serial serum tumor marker testing, with the ultimate goal to detect PDAC recurrence at an early asymptomatic stage [ 18 ]. This hypothetically leads to the identification of patients with a good performance status who are most likely to tolerate (experimental) treatment [ 19 ]. However, it remains unclear whether all patients with asymptomatic PDAC recurrence can be treated and whether early initiation of recurrence-focused treatment results in improved oncological outcomes. Moreover, early initiation of recurrence treatment in asymptomatic patients might induce treatment-related toxicity, which could worsen quality of life. Recurrence-focused surveillance could also increase fear of cancer recurrence, which negatively impacts quality of life, as might detection of recurrence in an asymptomatic stage [ 20 , 21 ]. Consequently, in most European countries including the Netherlands and the United Kingdom (UK), ethical concerns towards a recurrence-focused follow-up are raised and guidelines do not recommend a recurrence-focused follow-up strategy [ 11 , 14 ].

The RADAR-PANC trial is designed to investigate whether a recurrence-focused surveillance strategy with serial tumor marker testing and routine imaging improves overall survival in patients after radical resection for PDAC in the Netherlands and the UK, compared to current non-standardized follow-up. Furthermore, the consequences of a recurrence-focused surveillance strategy on quality of life and additional (experimental) treatment will be assessed.

Objectives {7}

The main objective of this study is to investigate whether recurrence-focused surveillance with three-monthly serum tumor marker testing and computed tomography (CT) imaging improves survival of patients with primary resected PDAC.

We hypothesize that patients who receive recurrence-focused surveillance will be diagnosed with PDAC recurrence at an earlier stage (i.e., localized disease and a good performance status). This hypothetically increases the number of patients that could tolerate (experimental) treatment for recurrence, with subsequent potential survival benefits. The goal of recurrence-focused surveillance will therefore be to improve overall survival.

The secondary objectives of this study are as follows:

To evaluate the impact of recurrence-focused surveillance on quality of life

To evaluate compliance to a recurrence-focused surveillance strategy

To evaluate the impact of recurrence-focused follow-up on worry of cancer recurrence

To evaluate disease-free survival

To assess clinical and radiological patterns of PDAC recurrence

To assess the role of serum tumor marker testing in detecting recurrent PDAC

To assess eligibility for recurrence-focused (experimental) systemic and/or local treatment

To evaluate reasons to refrain from treatment for recurrence (i.e., eligibility, deteriorated condition, patient’s wish, doctors’ advice, etc.)

To assess patients’ tolerance for treatment for recurrence

To assess prognostic factors for asymptomatic PDAC recurrence

To calculate the cost-efficacy of a recurrence-focused follow-up

Trial design {8}

The RADAR-PANC trial is an international randomized controlled trial nested within two large nationwide prospective cohorts (the Dutch Pancreatic Cancer Project; PACAP, and the UK Pancreas Cancer: Observations of Practice and survival; PACOPS) and follows the “Trials within Cohorts” (TwiCs) design [ 22 ]. With this design, a large observational cohort of patients is recruited and used as a multiple trials facility, and “patient-centered” information and consent are provided an obtained. For each randomized controlled trial, eligible patients are identified within the cohort and randomized [ 23 ]. The TwiCs design improves trial participation by avoiding non-participation on the basis of patients’ or doctors’ preference for the intervention.

In 2013, PACAP was initiated by the Dutch Pancreatic Cancer Group (DPCG) [ 24 ]. The UK PACOPS project was established in 2023 and follows the same setup as PACAP. Within these projects, patients with PDAC are asked to participate in the PACAP/PACOPS cohort at diagnosis. First, patients are asked general informed consent for collection of specific data on demographics and clinical, laboratory and radiological findings before, during, and after treatment and follow-up. Second, patients are asked to provide informed consent for participation in quality of life questionnaires to assess Patient Reported Outcome Measurements (PROMs). Third, patients are asked to provide informed consent for being randomized in future studies according to the TwiCs design. At the time informed consent is signed, neither the patient nor the researcher knows for which studies this patient is or might become eligible. This is called a “broad” consent, since patients do not know for which specific research questions their data may be used in the future [ 23 ]. Participants are only informed in case they can actually receive the intervention, i.e., when randomized to the intervention arm. If they then choose to undergo the intervention, they provide additional informed consent (two-staged informed consent) [ 25 ]. Patients randomized to the control arm are not further notified and followed in the context of the prospective cohort study, according to the current, non-standardized best practice. This approach is thought to reduce disappointment bias and cross-over of patients randomized to the control arm of the study. Importantly, at cohort enrolment, patients are adequately informed that at some point during their treatment or follow-up, they may be serving as control without being explicitly notified, which was demonstrated to be positively or neutrally received among patients [ 26 ].

Methods: participants, interventions, and outcomes

Study setting {9}.

International, multicenter randomized controlled trial (NCT04875325).

Eligibility criteria {10}

Patients are eligible for randomization if they meet all of the following criteria:

Participation in the PACAP or PACOPS cohort

Macroscopic radical resection (R0-R1) of histologically confirmed PDAC

Age ≥ 18 years

Written informed consent for being randomized in future studies (TwiCs) and participation in quality of life questionnaires (PROMs)

A potential study participant who meets any of the following criteria is excluded:

Contraindications for contrast-enhanced CT imaging, following the protocol of the department of radiology in each participating hospital

Mentally or physically incapable of giving consent

Participation in other studies with a study-specific follow-up comprising imaging and/or serum tumor marker testing

Who will take informed consent? {26a}

The inclusion and randomization process of the RADAR-PANC trial is schematically shown in Fig.  1 . Potentially eligible subjects are identified by the (local) investigator or an authorized delegate, by checking pathology reports of patients with known or suspected PDAC after intended radical resection. The (local) investigator or an authorized delegate will confirm that a potentially eligible patient is included in the PACAP or PACOPS cohort and signed informed consent for being randomized in future studies according to the TwiCs design and participation in quality of life questionnaires. If not, the patient will continue standard of care and will not be randomized for this trial. If the patient meets all the eligibility criteria for the RADAR-PANC trial, the participant is randomized for postoperative surveillance strategy with a 1:1 allocation ratio. Participants are either randomized for follow-up according to the current, non-standardized practice (control), or recurrence-focused surveillance according to the trial protocol (intervention). If the patient is randomized to the control arm, no additional action is taken: patients will receive current standard of care and are not explicitly informed about being randomized to the control arm of the trial according to the TwiCs design. Patients randomized to the intervention arm of the trial will be approached by a researcher and will be offered the experimental intervention within the first 3 to 4 months post-surgery. These patients are informed that they are free to decide whether they want to accept or deny the intervention. Oral and written information is provided and the treating physician is informed. If the patient chooses to participate, the additional informed consent form is signed prior to the start of the intervention.

Schematic inclusion and randomization process of the RADAR-PANC trial. PDAC pancreatic ductal adenocarcinoma, TwiCs Trials within Cohorts, PROMs patient-reported outcome measures, CT computed tomography, CA carbohydrate antigen, BSC best supportive care

Additional consent provisions for collection and use of participant data and biological specimens {26b}

All participants in the RADAR-PANC trial are already participating in PACAP or PACOPS and have already provided broad informed consent for the use of their medical data prior to inclusion in the current trial. Consequently, no additional consent for further studies is needed for collection and use of participant data.

Interventions

Explanation for the choice of comparators {6b}.

Participants in the control arm of the RADAR-PANC trial will receive non-standardized clinical follow-up, according to local practice in the participating hospital. As the most recent version of the national Dutch guideline for PDAC care currently does not recommend a recurrence-focused follow-up frequency, methodology, or focus, follow-up after PDAC resection is based on shared decision-making, at the discretion of the treating clinician and the patients’ wish [ 15 ].

Intervention description {11a}

The intervention exists of a recurrence-focused follow-up approach with routine imaging and serial serum tumor marker testing. The follow-up scheme of the RADAR-PANC trial is based on current surveillance guidelines after resection for PDAC as recommended by the National Comprehensive Cancer Network (NCCN) [ 11 ]. This intense follow-up scheme was chosen to increase the chance of early diagnosis of disease recurrence. For the first 2 years after surgery, clinical evaluation, serum carbohydrate antigen 19–9 (CA 19–9) testing, and contrast-enhanced CT imaging of chest and abdomen is performed every 3 months.

Follow-up of patients and related procedures (i.e., blood draws, CT scans) in this study can be performed at the participating hospital, referring hospital, or central coordinating hospital. Study-related follow-up is performed at 3, 6, 9, 12, 15, 18, 21, and 24 months after surgery. For the first follow-up evaluation, patients need to be randomized within the first 3 to 4 months post-surgery. Follow-up appointments are made by the trial coordinator in consultation with the treating clinician. If possible, outpatient clinic visits are combined with CT scan appointments; blood samples are obtained simultaneously.

Blood samples

At 3 months postoperatively and every subsequent 3 months during the first 2 years of follow-up, blood samples are obtained from study participants to assess CA 19–9 values. In addition, serum bilirubin is also determined to assess adjusted CA 19–9 levels.

During the first 2 years of follow-up, a CT of chest and abdomen with intravenous contrast (late arterial phase of the upper abdomen and portal venous phase covering the entire abdomen) is performed at 3 months postoperatively and every subsequent 3 months.

Quality of life assessment

All study participants, either randomized for the intervention or control arm of the RADAR-PANC trial, will receive quality of life questionnaires at each follow-up appointment, in the context of the PACAP and PACOPS cohort studies. The following questionnaires are used: non-disease specific health-related quality of life (HRQL) (EQ-5D-5L), cancer-specific HRQL (EORTC QLQ-C30), tumor-specific HRQL (EORTC QLQ-PAN26), hospital anxiety and depression scale (HADS), and worry of progression of cancer scale (WOPS; modified Dutch seven-item version of the six-item English cancer worry scale (CWS)) [ 27 , 28 , 29 , 30 , 31 ].

Recurrence diagnosis

If disease recurrence (local and/or distant) is suspected on the basis of a follow-up CT scan, with or without elevated tumor markers, pathological confirmation is strongly advised. If the results remain inconclusive or pathology cannot be obtained, additional imaging (magnetic resonance imaging (MRI) and/or positron emission tomography CT (PET-CT)) may be considered. Consensus on the presence of a recurrence should be obtained in a multidisciplinary meeting (e.g., based on imaging, elevated CA 19–9, and clinical evaluation).

If disease recurrence is diagnosed, best supportive care (BSC) or systemic and/or local therapy is offered at the discretion of the treating clinician in both trial arms, which is the current standard practice, and trial-related follow-up will end. It is encouraged to offer treatment to all patients in whom there are no contraindications based on clinical condition (performance status), comorbidity, or specific exclusion criteria for systemic and/or local therapy. Patients can be offered to participate in intervention trials on management of pancreatic cancer recurrence. In the Netherlands, within the DPCG, two intervention studies for the treatment of PDAC recurrence have been simultaneously initiated: the ARCADE trial (NCT04881487), investigating the efficacy of stereotactic body radiation therapy on survival after recurrence and quality of life in patients with isolated local PDAC recurrence, and the TIMEPAN trial (NCT04897854) studying the optimal timing of start of systemic treatment for asymptomatic metastasized PDAC.

Criteria for discontinuing or modifying allocated interventions {11b}

Participants may withdraw from participation in the RADAR-PANC study at any time and for any reason without consequence. The principal investigator may withdraw a patient from the study for one or more of the following reasons: the patient is not following the research staff's instructions of the protocol, continued participation could be harmful to the patient, and other administrative reasons or unforeseen circumstances.

If participants become too ill to attend their follow-up visits, the study team will continue to send quality of life questionnaires and obtain data through the patients’ general practitioner.

Strategies to improve adherence to interventions {11c}

For full adherence to the study protocol, the trial coordinator is responsible for arranging all follow-up appointments and diagnostic tests for patients, in consultation with the treating physician at the participating or referring center. Diagnostic testing can be performed either at the local participating center as well as at the referring center or the central coordinating center, as desired by the patient. The trial coordinator will monitor whether follow-up measurements have been completed, including diagnostic tests as well as quality of life questionnaires.

Relevant concomitant care permitted or prohibited during the trial {11d}

Concomitant care and interventions will not be prohibited during the trial.

Provisions for post-trial care {30}

Individual patients will remain enrolled in the RADAR-PANC trial for a maximum of 2 years or until patient withdrawal. Follow-up of patients that have completed the 2-year follow-up will be continued for survival information until death. Patients who are withdrawn from the study will be followed-up by a medical specialist or general practitioner for survival information until death. After the study period has ended for an individual patient, continuation of either recurrence-focused or non-standardized follow-up and diagnostic testing is based on shared decision-making between patients and their treating physicians.

Outcomes {12}

The primary outcome is overall survival, defined as the time from the date of PDAC resection until the date of either death from any cause or last follow-up.

Secondary outcomes are the following:

Patient-reported quality of life and worry of cancer recurrence, as measured by PROMs questionnaires within the PACAP-PROMs and PACOPS project: general EORTC QLQ-C30 and EQ5D-5L, pancreas-specific EORTC QLQ-PAN26, HADS, and WOPS.

Compliance to recurrence-focused surveillance, measured as the percentage of patients that either accepts or refuses participation in the intervention-arm, i.e., is willing to undergo recurrence-focused follow-up.

Disease-free survival, defined as the interval between the date of PDAC resection and the date of first radiological signs of recurrence, or last follow-up if recurrence is not observed. Preferably, recurrence is proven by a biopsy showing pathological confirmation of recurrent PDAC. However, recurrence can be clinically confirmed with growth of a suspicious lesion on consecutive CT scans and elevation of CA 19–9 (> 37 U/ml) and/or activity on PET-CT following consensus in a multidisciplinary meeting.

Clinical and radiological patterns of disease recurrence:

◦ Asymptomatic recurrence is defined as PDAC recurrence detected by CT imaging during follow-up, in the absence of suspected symptoms. If PDAC recurrence is discovered due to a significant patient-initiated complaint that is new or has been increased in severity or frequency, disease recurrence is defined as symptomatic.

◦ Localization of recurrence is categorized using five categories: (1) isolated locoregional recurrence: recurrence in the pancreatic remnant, locoregional lymph nodes, or surgical bed, such as soft tissue along the celiac or superior mesenteric artery, aorta, or around the pancreatojejunostomy site; (2) isolated distant recurrence: recurrence restricted to a single organ or site; (3) local + distant recurrence: simultaneous occurrence of both isolated locoregional recurrence and isolated distant recurrence; (4) multiple recurrence: recurrence at multiple distant sites; and (5) peritoneal carcinomatosis.

The yield of CT surveillance and role of serum tumor marker testing in detecting PDAC recurrence, by calculating diagnostic accuracy values, i.e., sensitivity, specificity, positive predictive values, and negative predictive values.

Eligibility for additional (experimental) treatment at time of recurrence diagnosis, based on the Eastern Cooperative Oncology Group (ECOG) or Karnofsky performance state, or inclusion criteria for study-related treatment of recurrence.

Reasons to refrain from treatment for recurrence (i.e., non-eligibility, deteriorated condition, patient’s wish, doctors’ advice, progression during treatment, etc.).

Patients’ tolerance to treatment for recurrence, measured by the reasons to stop treatment for recurrence (i.e., per protocol, deteriorated condition, patient’s wish, doctors’ advice, progression during treatment etc.).

Morbidity associated with recurrence-focused treatment.

Overall costs of recurrence-focused surveillance vs. costs as incurred with current non-standardized follow-up. Cost-effectiveness is examined through the EQ5D questionnaire and calculated using a Markov model.

Participant timeline {13}

• a The following questionnaires are used: non-disease specific HRQL (EQ-5D-5L), cancer-specific HRQL (EORTC QLQ-C30), tumor-specific HRQL (EORTC QLQ-PAN26), hospital anxiety and depression scale (HADS), worry of progression of cancer scale (WOPS; modified Dutch seven-item version of the six-item english cancer worry scale (CWS))

Sample size {14}

A retrospective study by Elmi et al. demonstrated that the median overall survival after primary tumor resection was 30.4 months in 163 patients who received routine imaging surveillance, as compared with 17.1 months in 66 patients receiving clinical follow-up without imaging [ 32 ]. Data from 1580 patients who underwent PDAC resection between 2014 and 2019 within the Netherlands showed a median overall survival of 33.6 months (95% confidence interval (CI) 29.4–38.2 months) in 284 patients who received routine follow-up imaging and 20.8 months (95% CI 19.8–22.6 months) in 1296 patients undergoing a symptomatic follow-up approach without routine imaging (Fig.  2 ). Combining these outcomes results in an expected median survival of 32.0 months vs. 19.0 months for patients in the intervention and control arm of the RADAR-PANC trial, respectively.

Directed acyclic graph to address potential confounders/effect modifiers to adjust in the multivariable analysis

As we expect 80% of patients to accept the experimental intervention offered in the intervention arm of the study, an estimated refusal rate of 20% needs to be taken into account. This leads to a decrease of the overall survival to 29.4 months (80% × 32.0 months + 20% × 19.0 months) for patients in the intervention arm. Moreover, despite that current non-standardized follow-up in daily clinical practice mainly results in a symptomatic follow-up approach without routine imaging, data from our recurrence database showed that 85/1580 patients (5%) did nonetheless receive routine follow-up imaging based on shared-decision making (the remaining 199/284 patients (70%) who received routine follow-up imaging participated in a clinical study with a study-specific follow-up including routine imaging). This results in a slight increase of the suspected overall survival in the control arm to 19.7 months (95% × 19.0 months + 5% × 32.0 months). The clinically relevant survival difference of 29.4 months vs. 19.7 months for the intervention and control arm, respectively, also approximates the mean survival difference of 9.5 months presented in the meta-analysis from Halle-Smith et al. [ 33 ]. These numbers correspond to a relative hazard (RH) of survival of 1.49, which is used to calculate the sample size of the study. Furthermore, as we expect a minimal level of loss to follow-up in this surveillance study, a censoring rate of 1% is expected each month.

To detect a 49% overall survival improvement (RH of survival 1.49) for patients in the intervention group, as compared with the control group, with a statistical power of 80% and a 0.05 two-sided significance level, a sample size of 306 patients is required. This calculation was based on the assumption of an exponential model, a median overall survival of 19.7 months in the control arm, a follow-up duration of 30 months, a drop-out rate of 1% and a baseline event rate of 3.5%. Following this calculation, we plan to include 306 patients in total: 153 patients in the recurrence-focused follow-up group and 153 patients in the non-standardized, symptomatic follow-up group.

Recruitment {15}

To achieve adequate patient enrolment and reach the target sample size, all centers are encouraged to participate in the current trial. To ensure enrolment of all eligible patients, the study coordinator(s) are in close contact with the local investigators at the participating centers to obtain weekly updates about patients who underwent macroscopically radical PDAC resection. Eligible patients will be contacted by the study coordinators in consultation with the treating clinicians. If an eligible patient is not yet approached for participation in the PACAP or PACOPS project, informed consent for PACAP or PACOPS, including TwiCs and PROMs, will be discussed by the study coordinator(s).

In 2018, 2348 patients were diagnosed with pancreatic cancer in the Netherlands. About 20% ( n  = 470) of these patients underwent macroscopically radical (R0-R1) resection of the tumor. In the Netherlands, all pancreatic resections are performed in centers affiliated with the DPCG, which will all participate in the current study. Based on the current successful enrolment progress, we anticipate that 75% ( n  = 353) of all patients will be registered yearly in the PACAP cohort and that 80% ( n  = 282) of these patients will provide informed consent for the TwiCs design. About 150 patients each year are expected to be included in other studies with a study-specific follow-up, which is an exclusion criterium for the RADAR-PANC trial. This leaves 282 – 150 = 132 patients eligible for randomization in the current study each year. Fifty percent ( n  = 66) of patients will be randomized to a standardized surveillance strategy. We expect that 80% ( n  = 53) of these patients are willing to participate in the intervention arm of the study, with a participation rate of 100% ( n  = 66) in the control arm as a consequence of the TwiCs design. The expected time needed for inclusion of a total of 306 patients (153 patients in each arm) is therefore 28 months. The final analysis will be performed 30 months after the last patient is enrolled.

Assignment of interventions: allocation

Sequence generation {16a}.

The allocation sequence to randomly assign participants into groups is based on computer-generated random numbers, following 2–4-6 variable block randomization, with stratification for institute. Eligible patients are randomized in chronological order.

Concealment mechanism {16b}

According to the TwiCs design, only participants randomized to the experimental group will be informed explicitly. Patients randomized for the recurrence-focused follow-up will be notified and asked for additional informed consent. In contrast, patients randomized to the symptomatic surveillance (i.e., current clinical practice) will not be informed about their randomization specifically since they have already provided their consent to be randomized and collect their data in a standardized fashion. Consequently, there is no need to conceal participants’ allocation.

Implementation {16c}

The allocation sequence is computer-generated. The central research coordinator enrolls eligible patients into the study and assigns participants to interventions. Patients who are randomly allocated to the intervention arm are offered the intervention by the research coordinator and asked to provide additional informed consent for participation in the intervention arm of the trial.

Assignment of interventions: blinding

Who will be blinded {17a}.

Blinding is not applicable to this TwiCs study. As part of the TwiCs design, however, patients randomized to the control arm and their treating clinicians will not be further notified.

Procedure for unblinding if needed {17b}

Unblinding is not applicable to this TwiCs study as blinding is not applied.

Data collection and management

Plans for assessment and collection of outcomes {18a}.

Baseline characteristics of all trial participants are standardly collected as part of the PACAP and PACOPS projects. Also, quality of life is already assessed using PROMs at standardized time points in all participants. Data management is carried out in accordance with UMC Utrecht Data management policy, as described in the Data Management Plan. Data is collected using a predefined, electronic case record form in Castor EDC. Local clinicians in the participating centers are responsible for data collection. They can, however, transfer this responsibility to the study team. The study team will appoint appropriate personnel for data collection.

Plans to promote participant retention and complete follow-up {18b}

The central research coordinator plays an essential role in participant retention and complete follow-up. All follow-up appointments will be scheduled by the research coordinator in consultation with the treating clinician and patient. Participants of the study are therefore followed closely by the research coordinator. In case test results are available, the research coordinator ensures that the results are discussed with the patient and in a multidisciplinary team meeting, if desired.

Data management {19}

Data management will be carried out in accordance with the UMC Utrecht Data management policy, as described in the Data Management Plan. Data will be collected using a predefined, electronic case record form in Castor EDC. Subjects will be entered into the patient database at each of the participating centers. Local personnel per participating center is responsible for data collection. They can, however, delegate this to the study steering committee who will appoint an appropriate data management team per site. All data will be collected using a predefined, electronic case record from. Data will be handled confidentially and coded. The data will be kept for a minimum of 15 years.

Confidentiality {27}

The handling of personal data will comply with the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (General Data Protection Regulation). A subject identification code list will be used to link the data to the subject. These codes will not be based on the patient initials and birth date. The local investigators will safeguard the key to this code.

Plans for collection, laboratory evaluation, and storage of biological specimens for genetic or molecular analysis in this trial/future use {33}

Not applicable.

Statistical methods

Statistical methods for primary and secondary outcomes {20a}.

The latest version of R Studio will be used for statistical analysis.

Baseline characteristics will be reported using standard descriptive statistics. Success of randomization will be evaluated by eye-balling whether the distribution of baseline characteristics between the intervention and control group is even. Primary analysis will be performed according to the intention-to-treat principle. As such, patients randomized to the intervention arm of the trial who refuse recurrence-focused surveillance following the TwiCs design will be analyzed as part of the intervention group. The main study parameter is overall survival, measured as the time from the date of PDAC resection to the date of death. Patients are censored at the time of last known follow-up visit documented if no event occurred. Overall survival rates will be reported as median with 95% CI and will be calculated by the Kaplan–Meier survival curve method. Log-rank test will be used to compare survival between the intervention and control group. One- and 2-year survival probabilities will be calculated. Univariate Cox-proportional hazard analysis will be used to assess the crude effect of a recurrence-focused surveillance strategy on survival. In addition, adjusted effect estimates will be calculated using a multivariable Cox-proportional hazard model, including potential confounders for symptomatic PDAC recurrence. To address potential confounders for which the multivariable analysis needs to be adjusted, a Directed Acyclic Graph was designed on https://www.dagitty.net  (Fig.  2 ). It is hypothesized that a recurrence-focused postoperative surveillance strategy leads to the detection of PDAC recurrence in an asymptomatic stage, which increases the probability to undergo treatment for recurrence, possibly improving survival. The association between postoperative surveillance strategy and overall survival is therefore fully mediated through presence of symptoms at the time of recurrence diagnosis and subsequent administration of recurrence treatment. Given that the median overall survival after resection of PDAC is 21 months and 1- and 2-year survival rates are 75% and < 50%, respectively, we expect that during our follow-up period at least 50% of included patients ( n  = 153) will experience an event. The number of variables included in the multivariable analysis is based on the rule of thumb of ~ 10 events per variable, where a categorical variable counts for the number of categories. Consequently, multivariable analysis is adjusted for 15 baseline covariates that are considered to be the most important, i.e., age (continuous), sex (male/female), and predictors that reflect an (un)favorable tumor biology or treatment course, including performance status (continuous), preoperative CA 19–9 value (continuous), tumor location (head/distal), resection margin status (R0/R1), tumor size (continuous), number of positive lymph nodes (continuous) and tumor differentiation (poor/well-moderate), and administration of adjuvant therapy (yes/no). Given that recurrence treatment is considered a mediator, and not a confounder, no adjustment for recurrence treatment is required. Because administration of neoadjuvant therapy is known to affect preoperative CA 19–9 values, resection margin status, tumor size, and number of positive lymph nodes, neoadjuvant treatment will not be adjusted for. Postoperative complications are deemed to affect the receipt of adjuvant therapy and will thus not be included in multivariable analysis. Results will be presented as hazard ratio’s (HR) with corresponding 95% confidence intervals (CI). A two-tailed P- value < 0.05 will be considered statistically significant.

Data on the incidence of PDAC recurrence, compliance to a recurrence-focused surveillance strategy, clinical, and radiological patterns of recurrence, eligibility for treatment of recurrence, administration of recurrence treatment, as well as type of treatment, reasons to refrain from recurrence treatment, and patient tolerance to recurrence treatment (i.e., completion of treatment as planned) will be analyzed and reported using descriptive statistics. Chi-square or Fisher’s exact test are used to compare categorical variables as appropriate. Parametric continuous variables are presented as mean ± standard deviation (SD) and are compared using the Student’s t -test. Non-parametric continuous variables are presented as median with interquartile range (IQR) and are compared using the Mann–Whitney U test. Patient-reported outcomes at each time point during follow-up will be compared to baseline scores using a generalized linear mixed model approach to assess a difference in patients’ quality of life and worry of cancer recurrence between the trial arms. Scores will be presented as mean (± SD), changes from baseline as mean differences (MD) and estimates will be calculated to represent a difference in MD between groups with corresponding 95% confidence intervals (CI). Minimally important differences (MIDs) for the EORTC QLQ-C30 will be interpreted based on Musoro et al. for available quality of life domains [ 34 ]. If not specified, a ≥ 10-point change is considered meaningful. Disease-free survival and post-recurrence survival will be assessed using Kaplan–Meier survival curves and reported as median with 95% CI. The log-rank test will be used to compare groups. Cox proportional hazards model will be used when appropriate. Stratified analyses will be performed regarding pattern of disease recurrence and type of additional treatment. Various baseline parameters (e.g., sex, age, body mass index (BMI), Charlson Comorbidity Index (CCI), ECOG score, postoperative complications, (neo)adjuvant therapy, resectability status, preoperative CA 19–9 values, tumor location, resection margin status, vascular resection, tumor (T) stage, lymph node (N) stage, tumor differentiation, perineural growth) will be collected. The yield of CT surveillance and role of serum tumor marker testing is assessed by calculating diagnostic accuracy values, i.e., sensitivity, specificity, false-positive and false-negative values. Cost-effectiveness is calculated using a Markov model.

Interim analyses {21b}

As the primary endpoint is overall survival, reasonable follow-up time is necessary to evaluate this endpoint. When reaching 50% of inclusions, an interim analysis would not provide any information on the efficacy or futility of a recurrence-focused surveillance strategy since the corresponding information on overall survival of the patients included so far is still very limited. Therefore, no interim analysis was conducted.

Methods for additional analyses (e.g., subgroup analyses) {20b}

The association between recurrence-focused postoperative surveillance, with subsequent detection of (a)symptomatic PDAC recurrence, and overall survival is anticipated to be at least partly mediated by the administration of treatment for recurrence (Fig.  3 ). To confirm this, we will perform a sub-analysis in which we stratify for recurrence treatment. As PDAC is known to be a highly heterogeneous disease, the underlying tumor biology might also influence the occurrence of (a)symptomatic disease recurrence and subsequently impact survival. To determine which part of the effect is mediated through recurrence-focused treatment (indirect effect) and which part can be attributed to tumor biology (direct effect), a causal mediation analysis will be performed to decompose the total effect. This will provide us further information on the true value of additional treatment for recurrence.

Kaplan–Meier curve comparing overall survival between patients with routine follow-up imaging and symptomatic follow-up in the Netherlands between 2014–2019 (unpublished data)

Moreover, the time interval between diagnosis of recurrence and start of treatment for recurrence (directly after detection in case of asymptomatic disease recurrence or as soon as symptoms occur) might affect the outcome. We therefore will perform a sensitivity analysis in which we include this time interval as a time-varying covariate.

Methods in analysis to handle protocol non-adherence and any statistical methods to handle missing data {20c}

Analyses will be performed according to the intention-to-treat principle. Patients who refuse the offered intervention (i.e., a recurrence-focused surveillance according to our study protocol) will therefore be analyzed as participating in the intervention-arm of the trial, although they receive a non-standardized, symptomatic follow-up. Moreover, despite that non-standardized surveillance in general results in a symptomatic follow-up strategy without routine follow-up imaging in daily clinical practice, a proportion of patients in the control arm will receive recurrence-focused surveillance based on shared decision-making. Since patient crossover might lead to effect dilution, our sample size is corrected for refusal in the intervention arm and agreement on routine imaging in the control arm. Besides the intention-to-treat analysis, a per protocol analysis will be performed of only those who strictly adhered to the protocol to estimate the true efficacy of the recurrence-focused follow-up strategy. Missing baseline data will be imputed using multiple imputation techniques. Both complete data analysis and multiple imputed data analysis will be performed to check for inconsistencies.

Plans to give access to the full protocol, participant level-data and statistical code {31c}

The full protocol, participant-level dataset, and statistical code can be requested from the principal investigator.

Oversight and monitoring

Composition of the coordinating center and trial steering committee {5d}.

The composition of the trial steering committee at the coordinating center exists of two PhD students from the coordinating center who are responsible for the day-to-day logistics of the trial, including identification of eligible patients, patient inclusion and randomization, and arranging follow-up appointments for patients randomized for the intervention arm. Additionally, they are supervised by an assistant professor and the principal investigator, with whom they meet on a weekly basis and can be consulted for discussion. The coordinating center is responsible for the correct coordination of the trial and providing oversight over all participating centers. The steering committee is assisted by clinicians from the coordinating center (i.e., the Regional Academic Cancer center Utrecht; RAKU), who are involved in the care of pancreatic cancer patients and are present at multidisciplinary team meetings, including surgeons, medical oncologists, radiation oncologists, radiologists, gastroenterologists, and pathologists, are easily accessible for consultation and support.

At each participating center, the local investigator is responsible for the on-site logistics and will appoint an appropriate trial team, which can in part be delegated to the coordinating center. Members of the DPCG will be updated on the trial progress at least during the four yearly DPCG meetings, but can be contacted for consultation, if needed. Radiologists from the participating expert pancreatic cancer center will revise all follow-up CT scans of patients who underwent surgery in their center, if performed elsewhere. In case recurrence is detected, this will be discussed at a multidisciplinary team meeting, functioning as an expert panel for determining study endpoints. Data managers from the coordinating center are responsible for data management, together with the daily trial coordinators.

Composition of the data monitoring committee, its role, and reporting structure {21a}

The independent Data Safety Monitoring Board (DSMB) will consist of Prof. Dr. M.J.C. Eijkemans, epidemiologist/statistician, Dr. P.J. Blankestijn, Dr. J.F. Swart, and Dr. N. Haj Mohammad. The DSMB will meet once yearly and will review the progress and accruing data of this trial and provide advice on the conduct of the trial to the Trial Steering Committee. The role of the DMSB will be to perform an interim review of the trial’s progress including updated figures on recruitment, data quality, and main outcomes and safety data.

Adverse event reporting and harms {22}

Adverse events in the intervention arm are assessed and recorded by the local investigator and, if necessary, discussed with a radiologist or surgeon. The following aspects will be recorded for each event:

description and grade of the toxicity according to the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 [ 35 ];

date of onset;

date of recovery;

action taken (intervention);

outcome of the adverse event.

The sponsor will report serious adverse events in the intervention arm through the web portal ToetsingOnline to the accredited medical research ethics committee (MREC) (in Dutch: medisch ethische toetsing commissie, METC) that approved the protocol, within 7 days of first knowledge for serious adverse events that result in death or are life threatening followed by a period of maximum of 8 days to complete the initial preliminary report. All other serious adverse events will be reported within a period of maximum 15 days after the sponsor has first knowledge of the serious adverse event. As PDAC patients have a very poor prognosis, we expect that many patients suffer from follow-up unrelated SAEs within the 2-year study period. These SAEs will be recorded, although not reported. Adverse events will be followed until they have abated or until a stable situation has been reached. Depending on the event, follow-up may require additional tests or medical procedures as indicated and/or referral to the general physician or a medical specialist. Serious adverse events need to be reported until the end of the study within the Netherlands, as defined in the protocol. As the control arm of the trial is treated according to current standard of care, adverse events in the control group will not be reported.

Frequency and plans for auditing trial conduct {23}

To assure quality and validity of research data, an independent, qualified monitor is appointed to monitor the study procedures. Monitoring is performed according to the Nederlandse Federatie van Universitaire Medische Centra (NFU) guidelines. During monitoring, the inclusion rate, study files, informed consent, in- and exclusion criteria, data review and data verification, serious adverse events, research procedures, research data, and research equipment will be checked for a random sample of patients. The risk of the study is classified as “negligible,” and minimal monitoring is therefore needed. Minimal monitoring exists of an initiation visit for each participating center, at least two on-site visits in the coordinating center (depending on the trial duration, the number of study participants and observed deviations), and a closing visit. At any given point during the study, the trial can be selected for audit. There is no predefined schedule for audits and inspections.

Plans for communicating important protocol amendments to relevant parties (e.g., trial participants, ethical committees) {25}

Amendments are changes made to the research after a favorable opinion by the accredited MREC has been given. All amendments will be notified to the MREC that gave a favorable opinion.

Dissemination plans {31a}

To disseminate the knowledge obtained, we will report the results from this project in one or more manuscripts, which will be submitted to high-impact, peer-reviewed journals. Results will also be discussed at regular meetings of the DPCG, and other national and international meetings, and will be submitted for presentation to (inter)national conferences. Also, the results may be included in treatment guidelines for PDAC.

The RADAR-PANC trial investigates whether a recurrence-focused surveillance strategy with serial tumor marker testing and routine imaging improves overall survival in patients after radical (R0/R1) resection of PDAC in the Netherlands, compared to current, non-standardized follow-up. Furthermore, the consequences of a recurrence-focused surveillance strategy on quality of life and recurrence-focused (experimental) treatment are assessed.

The impact of recurrence-focused surveillance has been prospectively investigated in patients who received treatment for other cancer types, including colorectal cancer and epithelial ovarian cancer. These studies did not demonstrate a disease-specific survival benefit of multimodality surveillance with a certain interval and cost-effectiveness of a recurrence-focused surveillance strategy remained unclear [ 36 , 37 , 38 , 39 ]. Unfortunately, the risk of disease recurrence after PDAC resection is substantially higher than for other cancer types. If timely treatment of disease recurrence in PDAC patients leads to improved survival, recurrence-focused follow-up might be more beneficial for these patients. Given that prospective studies on this subject are lacking, conclusions about the potential advantages of recurrence-focused surveillance after PDAC resection cannot be made. The RADAR-PANC trial will be the first randomized controlled trial to generate high level evidence for the current clinical equipoise regarding the value of recurrence-focused postoperative surveillance with serial tumor marker testing and routine imaging in patients after PDAC resection.

During the initiation of this study, several issues have been debated. First of all, the main study endpoint has been an important subject of discussion. Clearly, recurrence-focused surveillance alone does not lead to improved survival. Early recurrence detection following recurrence-focused surveillance, however, holds the potential to increase the eligibility for early initiation of recurrence-focused treatment, which might be associated with survival benefits. The efficacy and optimal timing of recurrence treatment has not been studied extensively and remains a subject of discussion. As a consequence, recommendations on treatment for recurrence are lacking in current PDAC guidelines [ 15 ]. Considering that the RADAR-PANC trial may lead to the detection of recurrence before the onset of symptoms in a substantial part of patients, discussions were held on how to treat patients with asymptomatic disease recurrence. The potential survival benefits of recurrence-focused postoperative surveillance are anticipated to result from early initiation of recurrence treatment. It was therefore decided that all patients in whom disease recurrence is diagnosed should be offered (experimental) treatment or participation in a clinical intervention trial. Within the Netherlands, the DPCG has simultaneously initiated two randomized controlled trials on respectively the optimal timing of systemic therapy for patients with disseminated disease, i.e., the TIMEPAN trial (NCT04897854), and the efficacy of SBRT for the treatment of isolated local PDAC recurrence in addition to standard of care, i.e., the ARCADE trial (NCT04881487). Nevertheless, while it is strongly encouraged to offer all trial participants treatment at time of recurrence diagnosis, type, and timing of treatment will be determined through shared decision-making. This might reduce the potential survival benefits of recurrence-focused surveillance, although insights into the impact on patients’ quality of life will be obtained.

In addition, it was discussed whether the main endpoint should be overall survival, defined as the interval between the date of resection and the date of death, or post-recurrence survival, defined from the date of recurrence diagnosis until date of death. The date of recurrence diagnosis, however, is highly dependent on the applied surveillance strategy and post-recurrence survival will therefore be subjected to lead time bias. Another outcome that was taken into consideration as potential main endpoint was quality of life. One of the most important reasons to refrain from recurrence-focused surveillance is the negative impact it might have on the quality of life of patients with an already poor prognosis. Nevertheless, a sample size can be calculated more reliably by using a hard endpoint such as survival instead of a soft outcome as quality of life. We therefore decided to make quality of life the most important secondary endpoint. In addition, this will be the first study to investigate the impact of a recurrence-focused surveillance strategy on the quality of life of patients after PDAC resection. As previous studies and relevant numbers on this subject are lacking, a proper sample size calculation with quality of life as main study endpoint could not be performed.

Lastly, the use of the TwiCs design has been extensively discussed. TwiCs is an innovative study design that has been proposed by Relton et al. in 2010 as a potential solution for certain logistical challenges in traditional randomized trials [ 23 ]. Theoretical advantages of TwiCs include efficient patient recruitment, considering that an observational patient cohort is used as multiple trials facility, which also leads to increased generalizability of results (less selection bias), and efficient use of routinely collected data [ 22 ]. The two-staged, patient-centered informed consent procedure is specifically chosen to prevent disappointment bias and contamination [ 25 ]. Especially in the setting of a trial on recurrence-focused postoperative surveillance, recruitment in a traditional RCT would be challenging, given that patients who have been informed about the potential benefits of surveillance may not be willing to accept randomization. In setting-up the RADAR-PANC trial, however, ethical concerns with regard to the TwiCs design were raised by some of the involved pancreatic cancer clinicians. It was questioned whether it was ethically acceptable that patients who are randomized to the control arm of the trial are not explicitly notified about their trial participation. At cohort enrolment, however, patients are well informed that they can be serving as control without further notifications. In addition, a survey among cancer patients who served as control in previous TwiCs showed that the majority of patients considered this to be acceptable [ 26 ]. Nevertheless, explanation to and education of researchers and physicians is of great importance to overcome ethical dilemmas.

Trial status

Protocol version 4.0, October 24, 2023. The first patient was enrolled on March 16, 2021. At the time of submission of this manuscript (January 2, 2024), 219 patients have been enrolled by 7 institutions. Recruitment is anticipated to be completed in April 2024.

Availability of data and materials {29}

The full protocol, final trial dataset, and statistical code will be accessible for investigators and can be obtained upon reasonable request from the principal investigator.

Abbreviations

American Society of Clinical Oncology

PDAC recurrence detected by CT imaging during follow-up, in the absence of suspected symptoms

Body mass index

Best supportive care

Carbohydrate antigen 19–9

Charlson comorbidity index

Confidence interval

2/3 Of the following criteria: -Growth of a suspicious lesion on consecutive CT scans, -Elevation of CA 19–9 (> 37 U/ml), -Abnormal activity on PET-CT

Computed tomography

Common Terminology Criteria for Adverse Events

Cancer worry scale

The interval between the date of surgery and either the date of first radiological signs of recurrence, or last follow-up if recurrence is not observed

Dutch Pancreatic Cancer Group

Data Safety Monitoring Board

Cancer-specific health-related quality of life

Non-disease specific health-related quality of life

Eastern Cooperative Oncology Group

European Society for Medical Oncology

Fluorouracil, leucovorin, irinotecan, and oxaliplatin

Hospital anxiety and depression scale

Health-related quality of life

Hazard ratio

International Association of Pancreatology/European Pancreatic Club

Interquartile range

Mean differences

Minimally important difference

Medical research ethics committee (MREC); in Dutch: medisch ethische toetsing commissie (METC)

Magnetic resonance imaging

National Comprehensive Cancer Network

The Netherlands Federation of University Medical Centers; in Dutch: Nederlandse Federatie van Universitaire Medische Centra

In Dutch: De Nederlandse Vereniging voor Heelkunde

The time from the date of resection of PDAC until either the date of death from any cause or date of last follow-up

Dutch Pancreatic Cancer Project

Pancreas Cancer: Observations of Practice and Survival

• Pancreatic ductal adenocarcinoma

Pathologically or clinically proven recurrence of PDAC

Positron emission tomography—computed tomography

Patient reported outcome measurements

• Quality of life

Macroscopically radical resection, i.e., R0-R1 resection

Regional Academic Cancer center Utrecht

Relative hazard

United Kingdom

Stereotactic Body Radiation Therapy

Standard deviation

The sponsor is the party that commissions the organization or performance of the research, for example a pharmaceutical company, academic hospital, scientific organization or investigator. A party that provides funding for a study but does not commission it is not regarded as the sponsor, but referred to as a subsidizing party

Recurrent PDAC discovered due to a significant patient-initiated complaint that is new or have been increased in severity or frequency

Trials within Cohorts

Medical Research Involving Human Subjects Act (in Dutch: Wet Medisch-wetenschappelijk Onderzoek met Mensen

Worry of progression of cancer scale

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Acknowledgements

Patient public involvement: during the design and development of the protocol, the study and its rationale have been discussed several times with delegates from the patient association for patients with pancreatic cancer, who provided their input to conduct the study.

The RADAR-PANC trial is funded by Deltaplan Alvleesklierkanker.

Author information

Authors and affiliations.

Department of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Nieuwegein, the Netherlands

L. A. Daamen, I. W. J. M. van Goor, V. P. Groot, P. C. M. Andel, H. C. van Santvoort & I. Q. Molenaar

Division of Imaging, UMC Utrecht Cancer Center, Utrecht University, Utrecht, the Netherlands

L. A. Daamen & H. M. Verkooijen

Department of Radiation Oncology, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Nieuwegein, the Netherlands

I. W. J. M. van Goor, G. J. Meijer & M. P. W. Intven

Department of Pathology, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Nieuwegein, the Netherlands

L. A. A. Brosens

Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands

Amsterdam UMC, Department of Surgery, Location University of Amsterdam, Amsterdam, the Netherlands

O. R. Busch & M. G. Besselink

Cancer Center Amsterdam, Amsterdam, the Netherlands

O. R. Busch, H. W. M. van Laarhoven, J. Stoker, G. van Tienhoven, J. W. Wilmink & M. G. Besselink

Department of Medical Oncology, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center, St. Antonius Hospital Nieuwegein & Meander Medical Center, Utrecht University, Utrecht, the Netherlands

G. A. Cirkel, N. Haj Mohammad & M. Los

Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, the Netherlands

H. D. Heerkens

Department of Surgery, Catharina Hospital, Eindhoven, the Netherlands

I. H. J. T. de Hingh

Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands

F. Hoogwater & V. E. de Meijer

Amsterdam UMC, Department of Medical Oncology, Location University of Amsterdam, Amsterdam, the Netherlands

H. W. M. van Laarhoven & J. W. Wilmink

Department of Hepatopancreatobiliary Surgery and Liver Transplantation, Queen Elizabeth Hospital, University Hospitals Birmingham, Birmingham, UK

R. Pande & K. J. Roberts

Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK

K. J. Roberts

Amsterdam UMC, Department of Radiology, Location University of Amsterdam, Amsterdam, the Netherlands

Department of Surgery, Radboud University Medical Center, Nijmegen, the Netherlands

M. W. J. Stommel

Amsterdam UMC, Department of Radiation Oncology, Location University of Amsterdam, Amsterdam, the Netherlands

G. van Tienhoven

Department of Gastroenterology and Hepatology, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Nieuwegein, the Netherlands

R. C. Verdonk

Department of Radiology, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St. Antonius Hospital Nieuwegein, Nieuwegein, the Netherlands

F. J. Wessels

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Contributions

QM (principal investigator), LD, MI, and HvS initiated the study and led the proposal and protocol development. All authors (LD, IvG, VG, PA, LB, OB, GC, NHM, HH, IdH, FH, HvL, ML, GM, VdM, RP, KR, JS, MS, GvT, RV, HV, FW, JW, MB, HvS, MI, QM) have contributed to the study design and to the development of the proposal. IvG and PA are the central study coordinators, who effectuated central MREC approval. LD is the lead trial methodologist. All authors read and approved the final manuscript.

Authors’ information

Lois Daamen is a medical doctor and clinical epidemiologist, who obtained a PhD degree from Utrecht University on her thesis titled “Detection and Treatment of Pancreatic Cancer Recurrence”. She is currently contracted as Assistant Professor in the group of Prof. Dr. Lenny Verkooijen at the UMC Utrecht and works as a methodologist within the international, prospective “Multi-OutcoMe EvaluatioN of radiation Therapy Using the MR-linac” (MOMENTUM) study of the MR-linac consortium. In addition, she is employed by the Dutch Pancreatic Cancer Group for further development of the Dutch Pancreatic Cancer Project.

Corresponding author

Correspondence to I. W. J. M. van Goor .

Ethics declarations

Ethics approval and consent to participate {24}.

The RADAR-PANC trial was approved by the Medical Research Ethics Committee Utrecht (MREC; in Dutch METC Utrecht) based on the requirements of the Dutch Medical Research Involving Human Subjects Act (WMO) and other applicable Dutch and European regulations (NL67115.041.20). Written informed consent to participate will be obtained from all participants.

Consent for publication {32}

Competing interests {28}.

The authors declare that they have no competing interests.

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Daamen, L.A., van Goor, I.W.J.M., Groot, V.P. et al. Recurrent disease detection after resection of pancreatic ductal adenocarcinoma using a recurrence-focused surveillance strategy (RADAR-PANC): protocol of an international randomized controlled trial according to the Trials within Cohorts design. Trials 25 , 401 (2024). https://doi.org/10.1186/s13063-024-08223-5

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Received : 20 March 2024

Accepted : 03 June 2024

Published : 20 June 2024

DOI : https://doi.org/10.1186/s13063-024-08223-5

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