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How to write a research plan: Step-by-step guide

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Today’s businesses and institutions rely on data and analytics to inform their product and service decisions. These metrics influence how organizations stay competitive and inspire innovation. However, gathering data and insights requires carefully constructed research, and every research project needs a roadmap. This is where a research plan comes into play.

Read this step-by-step guide for writing a detailed research plan that can apply to any project, whether it’s scientific, educational, or business-related.

• What is a research plan?

A research plan is a documented overview of a project in its entirety, from end to end. It details the research efforts, participants, and methods needed, along with any anticipated results. It also outlines the project’s goals and mission, creating layers of steps to achieve those goals within a specified timeline.

Without a research plan, you and your team are flying blind, potentially wasting time and resources to pursue research without structured guidance.

The principal investigator, or PI, is responsible for facilitating the research oversight. They will create the research plan and inform team members and stakeholders of every detail relating to the project. The PI will also use the research plan to inform decision-making throughout the project.

• Why do you need a research plan?

Create a research plan before starting any official research to maximize every effort in pursuing and collecting the research data. Crucially, the plan will model the activities needed at each phase of the research project .

Like any roadmap, a research plan serves as a valuable tool providing direction for those involved in the project—both internally and externally. It will keep you and your immediate team organized and task-focused while also providing necessary definitions and timelines so you can execute your project initiatives with full understanding and transparency.

External stakeholders appreciate a working research plan because it’s a great communication tool, documenting progress and changing dynamics as they arise. Any participants of your planned research sessions will be informed about the purpose of your study, while the exercises will be based on the key messaging outlined in the official plan.

Here are some of the benefits of creating a research plan document for every project:

Project organization and structure

Well-informed participants

All stakeholders and teams align in support of the project

Clearly defined project definitions and purposes

Distractions are eliminated, prioritizing task focus

Timely management of individual task schedules and roles

Costly reworks are avoided

• What should a research plan include?

The different aspects of your research plan will depend on the nature of the project. However, most official research plan documents will include the core elements below. Each aims to define the problem statement , devising an official plan for seeking a solution.

Specific project goals and individual objectives

Ideal strategies or methods for reaching those goals

Required resources

Descriptions of the target audience, sample sizes , demographics, and scopes

Key performance indicators (KPIs)

Project background

Research and testing support

Preliminary studies and progress reporting mechanisms

Cost estimates and change order processes

Depending on the research project’s size and scope, your research plan could be brief—perhaps only a few pages of documented plans. Alternatively, it could be a fully comprehensive report. Either way, it’s an essential first step in dictating your project’s facilitation in the most efficient and effective way.

• How to write a research plan for your project

When you start writing your research plan, aim to be detailed about each step, requirement, and idea. The more time you spend curating your research plan, the more precise your research execution efforts will be.

Account for every potential scenario, and be sure to address each and every aspect of the research.

Consider following this flow to develop a great research plan for your project:

Define your project’s purpose

Start by defining your project’s purpose. Identify what your project aims to accomplish and what you are researching. Remember to use clear language.

Thinking about the project’s purpose will help you set realistic goals and inform how you divide tasks and assign responsibilities. These individual tasks will be your stepping stones to reach your overarching goal.

Additionally, you’ll want to identify the specific problem, the usability metrics needed, and the intended solutions.

Know the following three things about your project’s purpose before you outline anything else:

What you’re doing

Why you’re doing it

What you expect from it

Identify individual objectives

With your overarching project objectives in place, you can identify any individual goals or steps needed to reach those objectives. Break them down into phases or steps. You can work backward from the project goal and identify every process required to facilitate it.

Be mindful to identify each unique task so that you can assign responsibilities to various team members. At this point in your research plan development, you’ll also want to assign priority to those smaller, more manageable steps and phases that require more immediate or dedicated attention.

Select research methods

Once you have outlined your goals, objectives, steps, and tasks, it’s time to drill down on selecting research methods . You’ll want to leverage specific research strategies and processes. When you know what methods will help you reach your goals, you and your teams will have direction to perform and execute your assigned tasks.

Research methods might include any of the following:

User interviews : this is a qualitative research method where researchers engage with participants in one-on-one or group conversations. The aim is to gather insights into their experiences, preferences, and opinions to uncover patterns, trends, and data.

Field studies : this approach allows for a contextual understanding of behaviors, interactions, and processes in real-world settings. It involves the researcher immersing themselves in the field, conducting observations, interviews, or experiments to gather in-depth insights.

Card sorting : participants categorize information by sorting content cards into groups based on their perceived similarities. You might use this process to gain insights into participants’ mental models and preferences when navigating or organizing information on websites, apps, or other systems.

Focus groups : use organized discussions among select groups of participants to provide relevant views and experiences about a particular topic.

Diary studies : ask participants to record their experiences, thoughts, and activities in a diary over a specified period. This method provides a deeper understanding of user experiences, uncovers patterns, and identifies areas for improvement.

Five-second testing: participants are shown a design, such as a web page or interface, for just five seconds. They then answer questions about their initial impressions and recall, allowing you to evaluate the design’s effectiveness.

Surveys : get feedback from participant groups with structured surveys. You can use online forms, telephone interviews, or paper questionnaires to reveal trends, patterns, and correlations.

Tree testing : tree testing involves researching web assets through the lens of findability and navigability. Participants are given a textual representation of the site’s hierarchy (the “tree”) and asked to locate specific information or complete tasks by selecting paths.

Usability testing : ask participants to interact with a product, website, or application to evaluate its ease of use. This method enables you to uncover areas for improvement in digital key feature functionality by observing participants using the product.

Live website testing: research and collect analytics that outlines the design, usability, and performance efficiencies of a website in real time.

There are no limits to the number of research methods you could use within your project. Just make sure your research methods help you determine the following:

What do you plan to do with the research findings?

What decisions will this research inform? How can your stakeholders leverage the research data and results?

Recruit participants and allocate tasks

Next, identify the participants needed to complete the research and the resources required to complete the tasks. Different people will be proficient at different tasks, and having a task allocation plan will allow everything to run smoothly.

Prepare a thorough project summary

Every well-designed research plan will feature a project summary. This official summary will guide your research alongside its communications or messaging. You’ll use the summary while recruiting participants and during stakeholder meetings. It can also be useful when conducting field studies.

Ensure this summary includes all the elements of your research project . Separate the steps into an easily explainable piece of text that includes the following:

An introduction: the message you’ll deliver to participants about the interview, pre-planned questioning, and testing tasks.

Interview questions: prepare questions you intend to ask participants as part of your research study, guiding the sessions from start to finish.

An exit message: draft messaging your teams will use to conclude testing or survey sessions. These should include the next steps and express gratitude for the participant’s time.

Create a realistic timeline

While your project might already have a deadline or a results timeline in place, you’ll need to consider the time needed to execute it effectively.

Realistically outline the time needed to properly execute each supporting phase of research and implementation. And, as you evaluate the necessary schedules, be sure to include additional time for achieving each milestone in case any changes or unexpected delays arise.

For this part of your research plan, you might find it helpful to create visuals to ensure your research team and stakeholders fully understand the information.

Determine how to present your results

A research plan must also describe how you intend to present your results. Depending on the nature of your project and its goals, you might dedicate one team member (the PI) or assume responsibility for communicating the findings yourself.

In this part of the research plan, you’ll articulate how you’ll share the results. Detail any materials you’ll use, such as:

Presentations and slides

A project report booklet

A project findings pamphlet

Documents with key takeaways and statistics

Graphic visuals to support your findings

• Format your research plan

As you create your research plan, you can enjoy a little creative freedom. A plan can assume many forms, so format it how you see fit. Determine the best layout based on your specific project, intended communications, and the preferences of your teams and stakeholders.

Find format inspiration among the following layouts:

Written outlines

Narrative storytelling

Visual mapping

Graphic timelines

Remember, the research plan format you choose will be subject to change and adaptation as your research and findings unfold. However, your final format should ideally outline questions, problems, opportunities, and expectations.

• Research plan example

Imagine you’ve been tasked with finding out how to get more customers to order takeout from an online food delivery platform. The goal is to improve satisfaction and retain existing customers. You set out to discover why more people aren’t ordering and what it is they do want to order or experience. 

You identify the need for a research project that helps you understand what drives customer loyalty . But before you jump in and start calling past customers, you need to develop a research plan—the roadmap that provides focus, clarity, and realistic details to the project.

Here’s an example outline of a research plan you might put together:

Project title

Project members involved in the research plan

Purpose of the project (provide a summary of the research plan’s intent)

Objective 1 (provide a short description for each objective)

Objective 2

Objective 3

Proposed timeline

Audience (detail the group you want to research, such as customers or non-customers)

Budget (how much you think it might cost to do the research)

Risk factors/contingencies (any potential risk factors that may impact the project’s success)

Remember, your research plan doesn’t have to reinvent the wheel—it just needs to fit your project’s unique needs and aims.

Customizing a research plan template

Some companies offer research plan templates to help get you started. However, it may make more sense to develop your own customized plan template. Be sure to include the core elements of a great research plan with your template layout, including the following:

Introductions to participants and stakeholders

Background problems and needs statement

Significance, ethics, and purpose

Research methods, questions, and designs

Preliminary beliefs and expectations

Implications and intended outcomes

Realistic timelines for each phase

Conclusion and presentations

How many pages should a research plan be?

Generally, a research plan can vary in length between 500 to 1,500 words. This is roughly three pages of content. More substantial projects will be 2,000 to 3,500 words, taking up four to seven pages of planning documents.

What is the difference between a research plan and a research proposal?

A research plan is a roadmap to success for research teams. A research proposal, on the other hand, is a dissertation aimed at convincing or earning the support of others. Both are relevant in creating a guide to follow to complete a project goal.

What are the seven steps to developing a research plan?

While each research project is different, it’s best to follow these seven general steps to create your research plan:

Defining the problem

Identifying goals

Choosing research methods

Recruiting participants

Preparing the brief or summary

Establishing task timelines

Defining how you will present the findings

Should you be using a customer insights hub?

Do you want to discover previous research faster?

Do you share your research findings with others?

Do you analyze research data?

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FLEET LIBRARY | Research Guides

Rhode island school of design, create a research plan: research plan.

• Research Plan
• Literature Review
• Ulrich's Global Serials Directory
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A research plan is a framework that shows how you intend to approach your topic. The plan can take many forms: a written outline, a narrative, a visual/concept map or timeline. It's a document that will change and develop as you conduct your research. Components of a research plan

1. Research conceptualization - introduces your research question

2. Research methodology - describes your approach to the research question

3. Literature review, critical evaluation and synthesis - systematic approach to locating,

    reviewing and evaluating the work (text, exhibitions, critiques, etc) relating to your topic

4. Communication - geared toward an intended audience, shows evidence of your inquiry

Research conceptualization refers to the ability to identify specific research questions, problems or opportunities that are worthy of inquiry. Research conceptualization also includes the skills and discipline that go beyond the initial moment of conception, and which enable the researcher to formulate and develop an idea into something researchable ( Newbury 373).

Research methodology refers to the knowledge and skills required to select and apply appropriate methods to carry through the research project ( Newbury 374) .

Method describes a single mode of proceeding; methodology describes the overall process.

Method - a way of doing anything especially according to a defined and regular plan; a mode of procedure in any activity

Methodology - the study of the direction and implications of empirical research, or the sustainability of techniques employed in it; a method or body of methods used in a particular field of study or activity *Browse a list of research methodology books  or this guide on Art & Design Research

Literature Review, critical evaluation & synthesis

A literature review is a systematic approach to locating, reviewing, and evaluating the published work and work in progress of scholars, researchers, and practitioners on a given topic.

Critical evaluation and synthesis is the ability to handle (or process) existing sources. It includes knowledge of the sources of literature and contextual research field within which the person is working ( Newbury 373).

Literature reviews are done for many reasons and situations. Here's a short list:

Sources to consult while conducting a literature review:

Online catalogs of local, regional, national, and special libraries

meta-catalogs such as worldcat , Art Discovery Group , europeana , world digital library or RIBA

subject-specific online article databases (such as the Avery Index, JSTOR, Project Muse)

digital institutional repositories such as Digital Commons @RISD ; see Registry of Open Access Repositories

Open Access Resources recommended by RISD Research LIbrarians

works cited in scholarly books and articles

print bibliographies

the internet-locate major nonprofit, research institutes, museum, university, and government websites

search google scholar to locate grey literature & referenced citations

trade and scholarly publishers

fellow scholars and peers

Communication                              

Communication refers to the ability to

• structure a coherent line of inquiry
• communicate your findings to your intended audience
• make skilled use of visual material to express ideas for presentations, writing, and the creation of exhibitions ( Newbury 374)

Research plan framework: Newbury, Darren. "Research Training in the Creative Arts and Design." The Routledge Companion to Research in the Arts . Ed. Michael Biggs and Henrik Karlsson. New York: Routledge, 2010. 368-87. Print.

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Except where otherwise noted, this guide is subject to a Creative Commons Attribution license

source document

  Routledge Companion to Research in the Arts

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• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on October 12, 2022 by Shona McCombes and Tegan George. Revised on November 21, 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organized and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, other interesting articles, frequently asked questions about research proposals.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

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Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: “A Conceptual Framework for Scheduling Constraint Management”
• Example research proposal #2: “Medical Students as Mediators of Change in Tobacco Use”

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

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As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesize prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasize again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

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

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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Developing and executing an effective research plan

Affiliation.

• 1 University of Pittsburgh Medical Center and Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA.
• PMID: 18945867
• DOI: 10.2146/ajhp070197

Purpose: Practical approaches to successful implementation of practice-based research are examined.

Summary: In order to successfully complete a research project, its scope must be clearly defined. The research question and the specific aims or objectives should guide the study. For practice-based research, the clinical setting is the most likely source to find important research questions. The research idea should be realistic and relevant to the interests of the investigators and the organization and its patients. Once the lead investigator has developed a research idea, a comprehensive literature review should be performed. The aims of the project should be new, relevant, concise, and feasible. The researchers must budget adequate time to carefully consider, develop, and seek input on the research question and objectives using the principles of project management. Identifying a group of individuals that can work together to ensure successful completion of the proposed research should be one of the first steps in developing the research plan. Dividing work tasks can alleviate workload for individual members of the research team. The development of a timeline to help guide the execution of the research project plan is critical. Steps that can be especially time-consuming include obtaining financial support, garnering support from key stakeholders, and getting institutional review board consent. One of the primary goals of conducting research is to share the knowledge that has been gained through presentations at national and international conferences and publications in peer-reviewed biomedical journals.

Conclusion: Practice-based research presents numerous challenges, especially for new investigators. Integration of the principles of project management into research planning can lead to more efficient study execution and higher-quality results.

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How to Write a Research Plan

Your answers to these questions form your research strategy. Most likely, you’ve addressed some of these issues in your proposal. But you are further along now, and you can flesh out your answers. With your instructor’s help, you should make some basic decisions about what information to collect and what methods to use in analyzing it. You will probably develop this research strategy gradually and, if you are like the rest of us, you will make some changes, large and small, along the way. Still, it is useful to devise a general plan early, even though you will modify it as you progress. Develop a tentative research plan early in the project. Write it down and share it with your instructor. The more concrete and detailed the plan, the better the feedback you’ll get.

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This research plan does not need to be elaborate or time-consuming. Like your working bibliography, it is provisional, a work in progress. Still, it is helpful to write it down since it will clarify a number of issues for you and your professor.

Writing a Research Plan

To write out your research plan, begin by restating your main thesis question and any secondary ones. They may have changed a bit since your original proposal. If these questions bear on a particular theory or analytic perspective, state that briefly. In the social sciences, for example, two or three prominent theories might offer different predictions about your subject. If so, then you might want to explore these differences in your thesis and explain why some theories work better (or worse) in this particular case. Likewise, in the humanities, you might consider how different theories offer different insights and contrasting perspectives on the particular novel or film you are studying. If you intend to explore these differences, state your goal clearly in the research plan so you can discuss it later with your professor. Next, turn to the heart of this exercise, your proposed research strategy. Try to explain your basic approach, the materials you will use, and your method of analysis. You may not know all of these elements yet, but do the best you can. Briefly say how and why you think they will help answer your main questions.

Be concrete. What data will you collect? Which poems will you read? Which paintings will you compare? Which historical cases will you examine? If you plan to use case studies, say whether you have already selected them or settled on the criteria for choosing them. Have you decided which documents and secondary sources are most important? Do you have easy access to the data, documents, or other materials you need? Are they reliable sources—the best information you can get on the subject? Give the answers if you have them, or say plainly that you don’t know so your instructor can help. You should also discuss whether your research requires any special skills and, of course, whether you have them. You can—and should—tailor your work to fit your skills.

If you expect to challenge other approaches—an important element of some theses—which ones will you take on, and why? This last point can be put another way: Your project will be informed by some theoretical traditions and research perspectives and not others. Your research will be stronger if you clarify your own perspective and show how it usefully informs your work. Later, you may also enter the jousts and explain why your approach is superior to the alternatives, in this particular study and perhaps more generally. Your research plan should state these issues clearly so you can discuss them candidly and think them through.

If you plan to conduct tests, experiments, or surveys, discuss them, too. They are common research tools in many fields, from psychology and education to public health. Now is the time to spell out the details—the ones you have nailed down tight and the ones that are still rattling around, unresolved. It’s important to bring up the right questions here, even if you don’t have all the answers yet. Raising these questions directly is the best way to get the answers. What kinds of tests or experiments do you plan, and how will you measure the results? How will you recruit your test subjects, and how many will be included in your sample? What test instruments or observational techniques will you use? How reliable and valid are they? Your instructor can be a great source of feedback here.

Your research plan should say:

• What materials you will use
• What methods you will use to investigate them
• Whether your work follow a particular approach or theory

There are also ethical issues to consider. They crop up in any research involving humans or animals. You need to think carefully about them, underscore potential problems, and discuss them with your professor. You also need to clear this research in advance with the appropriate authorities at your school, such as the committee that reviews proposals for research on human subjects.

Not all these issues and questions will bear on your particular project. But some do, and you should wrestle with them as you begin research. Even if your answers are tentative, you will still gain from writing them down and sharing them with your instructor. That’s how you will get the most comprehensive advice, the most pointed recommendations. If some of these issues puzzle you, or if you have already encountered some obstacles, share them, too, so you can either resolve the problems or find ways to work around them.

Remember, your research plan is simply a working product, designed to guide your ongoing inquiry. It’s not a final paper for a grade; it’s a step toward your final paper. Your goal in sketching it out now is to understand these issues better and get feedback from faculty early in the project. It may be a pain to write it out, but it’s a minor sting compared to major surgery later.

Checklist for Conducting Research

• Familiarize yourself with major questions and debates about your topic.
• Is appropriate to your topic;
• Addresses the main questions you propose in your thesis;
• Relies on materials to which you have access;
• Can be accomplished within the time available;
• Uses skills you have or can acquire.
• Divide your topic into smaller projects and do research on each in turn.
• Write informally as you do research; do not postpone this prewriting until all your research is complete.

Back to How To Write A Research Paper .

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Developing and executing an effective research plan

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Robert J. Weber, Daniel J. Cobaugh, Developing and executing an effective research plan, American Journal of Health-System Pharmacy , Volume 65, Issue 21, 1 November 2008, Pages 2058–2065, https://doi.org/10.2146/ajhp070197

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Purpose. Practical approaches to successful implementation of practice-based research are examined.

Summary. In order to successfully complete a research project, its scope must be clearly defined. The research question and the specific aims or objectives should guide the study. For practice-based research, the clinical setting is the most likely source to find important research questions. The research idea should be realistic and relevant to the interests of the investigators and the organization and its patients. Once the lead investigator has developed a research idea, a comprehensive literature review should be performed. The aims of the project should be new, relevant, concise, and feasible. The researchers must budget adequate time to carefully consider, develop, and seek input on the research question and objectives using the principles of project management. Identifying a group of individuals that can work together to ensure successful completion of the proposed research should be one of the first steps in developing the research plan. Dividing work tasks can alleviate workload for individual members of the research team. The development of a timeline to help guide the execution of the research project plan is critical. Steps that can be especially time-consuming include obtaining financial support, garnering support from key stakeholders, and getting institutional review board consent. One of the primary goals of conducting research is to share the knowledge that has been gained through presentations at national and international conferences and publications in peer-reviewed biomedical journals.

Conclusion. Practice-based research presents numerous challenges, especially for new investigators. Integration of the principles of project management into research planning can lead to more efficient study execution and higher-quality results.

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Driving Discovery: How to Create an Effective Research Plan

September 23, 2023 - 10 min read

When embarking on a research project , having a well-thought-out research plan is crucial to driving discovery and achieving your objectives. In this article, we will explore the importance of a research plan, the key benefits it offers, the essential components of an effective research plan, the steps to create one, and tips for implementing it successfully.

Understanding the Importance of a Research Plan

A research plan serves as a roadmap that guides your investigation and ensures that you stay focused and on track. It outlines the objectives, questions, and methods that will shape your research and enable you to make meaningful discoveries.

Imagine embarking on a research journey without a plan. You would be wandering aimlessly, unsure of where to focus your attention and resources. A research plan acts as a compass, guiding you towards the most promising avenues of exploration. It helps you formulate research questions that are relevant and meaningful, so that your study contributes to the existing body of knowledge in a significant way.

Key Benefits

A well-structured research plan offers several benefits besides guiding your investigation.

• Clarify your research goals and align them with your overarching research objectives. You want your study to remain focused and avoid unnecessary detours.
• Organize your research process, so that you cover all the necessary steps and avoid potential pitfalls. Break down your research into manageable tasks, allowing you to allocate your time and resources effectively. 
• Secure funding and gain the support of stakeholders. When applying for grants or seeking approval for your research project, a comprehensive and compelling research plan can make all the difference. It provides a clear overview of your study's objectives, methods, and expected outcomes, demonstrating the potential impact of your research.

Essential Components 

When creating a research plan, certain components should be included to ensure its effectiveness. These components serve as building blocks that shape the overall structure and content of your plan.

Defining Your Research Objectives

The first step in creating an effective research plan is to clearly define your research objectives. These objectives should be specific, measurable, attainable, relevant, and time-bound (SMART). By setting SMART research objectives, you provide a clear purpose for your investigation and establish criteria by which you can evaluate its success.

Defining research objectives is crucial because it helps researchers stay focused and avoid getting lost in the vast sea of information. It provides a sense of direction and purpose, so that every step taken during the research process contributes to achieving the desired outcomes. Without well-defined objectives, researchers may find themselves overwhelmed and unable to make meaningful progress.

Identifying Your Research Questions

In addition to defining your research objectives, it is crucial to identify the research questions that will guide your investigation. These should be focused and address the specific aspects you aim to explore. By formulating precise research questions, you narrow down your research scope and provide a framework for gathering and analyzing data.

Remember that research questions serve as a compass, guiding researchers through the vast landscape of information. They help researchers stay on track and ensure that their efforts are aligned with the overall objectives of the study. Well-crafted research questions also enable them to delve deeper into specific areas of interest, uncovering valuable insights that contribute to the existing body of knowledge.

Choosing the Right Research Methodology

The selection of an appropriate research methodology is another vital component of an effective research plan. The methodology you choose should be aligned with your research objectives and questions, enabling you to gather and analyze data effectively. Whether quantitative or qualitative, your chosen methodology should provide reliable and valid results that contribute to driving your research forward.

Choosing the right research methodology is like selecting the right tools for a construction project. Each methodology has its strengths and limitations, and understanding these nuances is crucial for conducting a successful study. The decision that researchers make will impact the data collection techniques, analysis methods, and overall validity of the study.

Steps to Create a Comprehensive Research Plan

Now that we understand the essential components of a research plan, let's dive into the steps to create a comprehensive one.

Setting Your Research Goals

The first step in creating a research plan is to set clear and concise research goals. These goals serve as the guiding principles of the research and provide a framework for the investigation. When setting research goals, align them with the research objectives, so that the plan remains focused and purposeful. 

Don't forget that research goals can vary depending on the nature of the study. They can be broad, encompassing the overall aims of the research, or specific, focusing on particular aspects or variables. Regardless of their scope, research goals play a vital role in shaping the research plan and determining the path to be followed.

Conducting a Literature Review

A comprehensive literature review is crucial for building a solid foundation for your research plan. During this process, researchers explore various sources such as academic journals, books, conference proceedings, and online databases to gather relevant information. They critically analyze and synthesize the findings from previous studies, to identify gaps, inconsistencies, and areas that require further investigation. This process helps researchers refine their research questions, develop hypotheses, and select appropriate research methods.

Moreover, a literature review allows researchers to identify key theories, concepts, and methodologies that are relevant to their research. It helps them establish the theoretical framework for their study, providing a solid basis for data collection and analysis. By conducting a thorough literature review, researchers guarantee that their research plan is grounded in existing knowledge and contributes meaningfully to the field.

Designing Your Research Strategy

Once you have set your research goals and conducted a thorough literature review, it's time to design your research strategy. This step involves making important decisions regarding research questions, research methods, and data collection and analysis procedures.

• Carefully consider various factors, such as the research goals, the nature of the research problem, the available resources, and ethical considerations. Determine the most appropriate research questions that align with the research goals and can be effectively addressed through the chosen research methods.
• Select the most suitable research methods to collect and analyze data. This can involve qualitative methods such as interviews, observations, or focus groups, or quantitative methods such as surveys or experiments. The choice of research methods depends on the research objectives, the nature of the research problem, and the available resources.
• Outline the data collection and analysis procedures. This means determining the sample size, developing data collection instruments, and devising data analysis techniques. A well-designed research strategy ensures that researchers gather the necessary data to address their research questions effectively and draw meaningful conclusions.

Tips for Implementing Your Research Plan

Creating a research plan is just the first step; successful implementation is equally important. Here are some tips to help you implement your research plan effectively.

Ensuring Flexibility 

While a research plan provides a structured roadmap, it is essential to remain flexible throughout the research process. Unexpected challenges and discoveries may require adjustments to your plan. By maintaining flexibility, you can adapt to changing circumstances and make the most of unforeseen opportunities.

Imagine you are conducting a research study on the impact of climate change on coral reefs. Your initial plan may involve collecting data from a specific location over a six-month period. However, during the course of your research, you may discover a new coral species that is particularly vulnerable to climate change. In such a scenario, being flexible allows you to modify your research plan to include a more in-depth investigation of this new species, potentially leading to groundbreaking findings.

Tracking Your Research Progress

Regularly tracking your research progress is crucial to ensuring that you stay on schedule and achieve your research objectives. Establish milestones and set aside dedicated time for progress evaluation. This will help you identify any deviations from the plan and take corrective measures promptly.

Suppose you are conducting a longitudinal study on the effects of a new teaching method on student performance. By tracking your research progress, you can analyze the data collected at various intervals and assess whether the teaching method is consistently improving student outcomes. If you notice any inconsistencies or unexpected trends, you can adjust your research plan accordingly, such as modifying the teaching method or expanding the sample size.

Evaluating and Refining Your Research Plan

Periodically evaluating and refining your research plan is vital for its effectiveness. Reflect on the progress of your research and assess whether your objectives and questions are still relevant. Take feedback from colleagues and stakeholders into account and make necessary adjustments to improve your research plan.

Let's say you are conducting a survey-based research study on consumer preferences for sustainable packaging. After analyzing the initial survey responses, you may realize that the questions you asked did not capture all the relevant factors influencing consumer choices. By evaluating and refining your research plan, you can modify the survey questions to include additional variables, such as price sensitivity or brand perception, thus enhancing the validity and comprehensiveness of your study.

Drive Your Discovery with Wrike

Creating an effective research plan to drive discovery is like having a detailed itinerary for an exploration journey. It guides your research efforts and ensures that you uncover valuable insights. However, managing these research plans across multiple projects can be challenging.

This is where Wrike steps in. Within Wrike, you can easily create folders for each project or research plan. These folders can serve as a place where you can store research methods, data collection plans, and even your research findings. This structured approach brings direction and discovery to your research, much like a detailed itinerary guides an exploration journey.

And when it comes to the other documents and workflows your business needs — whether it's data analysis or report writing — Wrike has you covered with robust project management features and ready-to-use templates. Ready to drive your discovery process? Start your free trial of Wrike today.

Note: This article was created with the assistance of an AI engine. It has been reviewed and revised by our team of experts to ensure accuracy and quality.

Occasionally we write blog posts where multiple people contribute. Since our idea of having a gladiator arena where contributors would fight to the death to win total authorship wasn’t approved by HR, this was the compromise.

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It helps you evaluate the efficiency of your lead generation strategies and allocate resources effectively. Sales Activity Metrics Sales activity metrics focus on measuring the activities carried out by your sales team. These metrics provide insights into the productivity and effectiveness of your sales representatives, helping you identify areas for improvement and optimize their performance. Here are several of them: Number of calls made: Tracks the total number of calls made by your sales team. It assists you in assessing their level of activity and the effort put into prospecting and engaging with potential customers. Number of meetings scheduled: Measures the total number of meetings scheduled with prospects or existing customers. It indicates the level of engagement and the effectiveness of your sales team in moving leads through the pipeline. Number of presentations delivered: Calculates the total number of presentations delivered by your sales representatives. It aids you in evaluating their ability to effectively communicate your product or service value proposition. Sales Conversion Metrics Sales conversion metrics assess how well your leads progress through each stage of the sales process and ultimately convert into closed deals. These metrics provide insights into the effectiveness of your sales strategies, allowing you to identify areas for improvement and optimize your conversion rates. Here are some examples: Opportunity-to-win ratio: Measures the percentage of opportunities that convert into closed deals. It helps you evaluate the efficiency of your sales process and the ability of your sales team to successfully close deals. Time to close: Calculates the average time it takes for a lead to progress through the sales pipeline and convert into a closed deal. It assists you in flagging bottlenecks and optimizing your sales process to reduce the time-to-close. Win rate: Records the percentage of opportunities that result in closed deals. It aids you in assessing the effectiveness of your sales strategies and the ability of your sales team to win deals. Revenue Metrics Revenue metrics track the financial impact of your sales efforts. These metrics provide insights into the overall performance and profitability of your sales organization, helping you make data-driven decisions to maximize revenue. Here are a few key ones: Deal size: Measures the average value of closed deals. It helps you understand the revenue potential of each deal and optimize your pricing strategies. Average revenue per customer: Calculates the average revenue generated per customer. It lets you assess the profitability of your customer base and identify opportunities for upselling or cross-selling. Overall revenue generated: Tracks the total revenue generated by your sales team within a specific time period. It provides an overview of your sales performance so that you can evaluate the effectiveness of your sales strategies. Essential Sales Pipeline Metrics for Business Success Now that we understand the importance of sales pipeline metrics, let's explore some key metrics you should definitely monitor for business success: Lead Quantity and Quality The quantity of leads entering your pipeline is essential, but quality is equally important. Track the number of leads generated from various sources and assess their conversion rates. Identify patterns and characteristics that are common among your most valuable customers, as these can be useful in current and future marketing efforts. For example, you may find that leads generated from social media campaigns have a higher conversion rate compared to leads from email marketing. This insight allows you to invest more resources in social media campaigns and refine your email marketing strategy to improve its effectiveness. Sales Cycle Length The length of your sales cycle directly affects your revenue and cash flow. Measure the time it takes for a lead to move through each stage of the pipeline and convert into a paying customer. Identify areas where deals get delayed or stalled and take proactive measures to streamline the process. Remember to study the sales cycle length to predict revenue and manage your cash flow more effectively.  For instance, you may find that leads spend a significant amount of time in the negotiation stage, causing delays in closing deals. This insight prompts you to implement strategies to accelerate the negotiation process, such as providing clearer pricing options or offering additional incentives. Conversion Rates Conversion rates provide valuable insights into the effectiveness of your sales efforts. Monitor the percentage of leads that successfully convert into customers at each stage of the pipeline. Track conversion rates to evaluate your sales team's performance. For example, you may notice that a significant number of leads drop off during the product demonstration stage. This observation prompts you to analyze the effectiveness of your demonstrations and make improvements, such as enhancing the presentation or addressing common objections more effectively. Deal Size and Revenue Monitor the average deal size and overall revenue generated from your sales efforts. Identify which types of deals have the greatest impact on your bottom line and focus your resources accordingly. Analyze the return on investment (ROI) of your marketing and sales activities. If you find that a particular marketing campaign consistently generates a high revenue, you can allocate more resources to scale that campaign and maximize its impact. For example, you may find that deals with larger companies tend to have a higher average deal size. Armed with this information, you can allocate more resources to target larger companies and tailor your sales approach to meet their specific needs. Tools and Techniques for Monitoring Sales Pipeline Metrics Now that you understand the essential metrics to monitor, let's explore some tools and techniques that can help you effectively track and analyze your sales pipeline: CRM Systems  A Customer Relationship Management (CRM) system is a powerful tool that enables you to manage and track your sales pipeline metrics. CRM systems allow you to capture and analyze data related to leads, opportunities, and deals. They provide insights into each stage of the sales process and help you identify areas for improvement. By leveraging CRM systems, you can automate your sales workflow, streamline communication, and gain a holistic view of your sales pipeline. These systems provide real-time visibility into your sales performance, allowing you to make data-driven decisions and drive business success. Data Visualization Data visualization tools can help you transform complex data into intuitive visuals. By creating charts, graphs, and dashboards, you can easily interpret and communicate your sales pipeline metrics to stakeholders. Data visualization enables you to spot trends, identify patterns, and make informed decisions quickly and effectively. Regular Sales Pipeline Audits Conducting regular sales pipeline audits is crucial for maintaining the accuracy and integrity of your pipeline metrics. By thoroughly reviewing your pipeline, you can identify discrepancies, outdated information, and potential areas for improvement. Regular audits help verify that the data on which you base your decisions is reliable and up to date. How to Improve Your Sales Pipeline Metrics Monitoring your sales pipeline metrics is only the first step. To drive business success, you must continually improve these metrics and optimize your sales process. Here are some strategies to enhance your sales pipeline metrics: Enhancing Lead Generation Strategies Focusing on high-quality leads can significantly impact your sales pipeline metrics. Continuously review and refine your lead generation strategies to attract leads that are more likely to convert into customers. Consider leveraging data-driven marketing tactics, conducting thorough market research, and optimizing your website for lead generation. Streamlining the Sales Process Identify areas in your sales process that can be streamlined. Look for tasks that can be automated or eliminated to reduce the time it takes for leads to move through the pipeline. By removing unnecessary steps and improving efficiency, you can accelerate your sales cycle and increase conversion rates. Training and Development for Sales Teams Invest in training and development programs for your sales team to enhance their skills and knowledge. Provide them with the tools and resources they need to effectively engage with leads and close deals. By continually developing your sales team's capabilities, you can improve their performance and drive better sales pipeline metrics. Overall, monitoring key sales pipeline metrics is vital for your business's success. By understanding the importance of these metrics, utilizing the right tools and techniques, and implementing strategies to improve them, you can optimize your sales process, increase revenue, and achieve sustainable growth. Monitor key sales pipeline metrics using Wrike’s advanced analytical tools. Register for a free trial today and align your sales strategies with solid data for guaranteed business success. Note: This article was created with the assistance of an AI engine. It has been reviewed and revised by our team of experts to ensure accuracy and quality.

Catalyzing Business Growth: Strategies for Expansion

Expanding a business is an exciting and challenging endeavor. It requires careful planning, strategic thinking, and a deep understanding of the market. In this article, we will explore the key strategies for business expansion and how to catalyze growth effectively. Whether you are a small startup or an established company, these strategies will provide valuable insights into achieving your growth goals. Understanding Business Expansion Business expansion offers numerous benefits, such as increased market share, higher revenues, and improved brand recognition. It allows businesses to tap into new markets, gain a competitive edge, and attract a larger customer base. However, expanding without a well-thought-out plan can be risky and may lead to financial instability. Therefore, it is essential to carefully consider all aspects of expansion before embarking on this journey. The Importance of Business Growth Vital for long-term success and sustainability: Stay ahead of the competition, adapt to changing market trends, and take advantage of new opportunities. Attract potential investors and strategic partnerships.  Improves company culture: Boost employee morale and provide career advancement opportunities. Platform for innovation and creativity: With a larger customer base, you have the opportunity to gather valuable feedback and insights, enabling you to refine your products or services and meet the evolving needs of your target audience. Access to new markets and geographical locations: Diversify your customer base and reduce dependency on a single market. Establish a global presence and build a strong network of partners and suppliers, facilitating further growth and expansion. Key Factors in Business Expansion Several key factors play a crucial role in successful business expansion: Market Demand: Before expanding, assess the market demand for your products or services. Conduct market research and analyze customer preferences and buying patterns to confirm that there is a sustainable demand in the new market. Identify potential gaps in the market that your business can fill, offering unique value propositions to attract customers. Competitive Analysis: Understand the competitive landscape in the target market. Identify key competitors and analyze their strengths and weaknesses. This analysis will help you position your organization and differentiate it from the competition. Develop a compelling value proposition that highlights your unique selling points and conveys why customers should choose your business over others. Operational Capacity: Evaluate your operational capacity to handle expansion. Verify that you have the necessary infrastructure, resources, and systems in place to meet the increased demand without compromising product quality or customer service. Consider factors such as production capacity, supply chain management, and distribution channels. Implement scalable processes and invest in technology that can support your growth objectives. Financial Planning: Expansion requires significant financial resources. Develop a comprehensive financial plan that includes projected revenues, expenses, and cash flow forecasts. Assess your funding options, such as internal sources (retained earnings) or external sources (loans, investments). Consider the potential risks and uncertainties associated with expansion and have contingency plans in place to mitigate them. Talent Acquisition and Development: Expanding your business may require additional workforce. Evaluate your current talent pool and identify any skill gaps that need to be filled. Develop a recruitment strategy to attract and hire qualified individuals who align with your company's values and objectives. Additionally, invest in training and development programs to upskill existing employees and ensure they are equipped to handle new responsibilities and challenges. Formulating a Strategic Plan for Growth Expanding a business requires careful planning and consideration of various factors. In order to oversee a smooth and successful expansion, it is important to set clear business objectives and conduct a thorough analysis of the internal and external environment. Setting Clear Business Objectives Clearly define your business objectives for expansion. Are you aiming to penetrate a new market, launch new products, or expand geographically? Remember to consider the current market conditions, customer demands, and competitive landscape. Conducting a SWOT Analysis Identify internal strengths and weaknesses, as well as external opportunities and threats. This analysis will help you capitalize on your strengths, address weaknesses, seize opportunities, and mitigate potential risks. Remember to involve key stakeholders from different departments within your organization, for a holistic view of your business and access to diverse perspectives.  During the analysis, consider your company's strengths, such as a strong brand reputation, talented workforce, or innovative products. These strengths can be leveraged to gain a competitive advantage in the new market or industry segment you are targeting. Identifying weaknesses is equally important, as it allows you to address any internal limitations that may hinder your expansion efforts. This could include areas such as outdated technology, lack of skilled personnel, or inefficient processes.  Opportunities and threats in the external environment should also be carefully evaluated. This could include emerging market trends, changes in consumer behavior, or new technological advancements. Similarly, by recognizing potential threats, such as increased competition or economic downturns, you can develop strategies to mitigate their impact. Financial Considerations for Business Expansion Expanding a business requires sound financial planning to guarantee long-term viability and success. Consider the following financial aspects when formulating your expansion strategy: Budgeting for Growth Develop a detailed budget that accounts for all expansion-related expenses, such as marketing campaigns, additional staff recruitment and training, infrastructure investments, and increased operational costs. Verify that your projected revenue growth aligns with your planned expenses. When creating your budget, consider both short-term and long-term financial goals. Short-term goals may include immediate expenses related to the expansion, while long-term goals may involve planning for future growth and sustainability. Additionally, factor in potential risks and uncertainties that may impact your financial projections. Conducting a thorough risk assessment can help you identify and mitigate potential financial challenges, so that your budget remains realistic and achievable. Exploring Financing Options Consider various financing options to fund your expansion. These may include bank loans, venture capital, crowdfunding, or seeking partnerships with strategic investors. Carefully evaluate the pros and cons of each option to determine the most suitable financing strategy for your business. When exploring financing options, assess your business's current financial health and creditworthiness. Lenders and investors will evaluate your financial statements, credit history, and cash flow to determine the level of risk associated with providing funds. Furthermore, seek professional advice from financial experts, such as accountants or financial advisors, who can guide you through the process and help you make informed decisions. They can assist in analyzing the financial implications of different financing options and provide recommendations based on your specific business needs. Remember that securing financing for expansion is not just about obtaining the necessary funds; it also involves understanding the terms and conditions associated with each financing option. Consider factors such as interest rates, repayment terms, collateral requirements, and potential impact on your business's ownership and control. Lastly, maintaining open communication with potential lenders or investors is crucial. Clearly articulate your expansion plans, demonstrate your business's growth potential, and provide a comprehensive financial proposal that highlights the expected return on investment. Building trust and credibility with financial stakeholders can increase your chances of securing the necessary funds for your business expansion. Human Resources and Business Growth Efficiently managing human resources is crucial during business expansion, as shown by the factors below. Staffing for Expansion Assessing the current workforce is not only about identifying the need for additional staff members, but also about evaluating the existing employees' potential for growth and development. By recognizing the talent within the organization, businesses can provide opportunities for internal promotions and career advancement. This not only motivates employees but also fosters loyalty and commitment to the company. When hiring new employees, take into account diversity and inclusion. By creating a diverse workforce, businesses can benefit from a wide range of perspectives, experiences, and ideas. This can lead to increased innovation, creativity, and problem-solving capabilities, which are essential for business growth. Training and Development for Growth Investing in training and development programs is crucial to making sure that employees have the necessary skills and knowledge to support the expanded operations. By providing continuous learning opportunities, businesses can enhance the capabilities of their workforce, leading to higher productivity and better customer service. Training programs can include a variety of methods, such as workshops, seminars, online courses, and on-the-job training. These initiatives can focus on developing technical skills, leadership abilities, communication skills, and other competencies that are essential for business growth. Moreover, businesses can also consider partnering with external training providers or educational institutions to offer specialized programs tailored to their specific industry or market. By providing employees with access to industry-leading training, businesses can stay ahead of the competition and see to it that their workforce remains up-to-date with the latest trends and best practices. Marketing Strategies for Business Expansion Effective marketing strategies are essential for creating brand awareness and driving customer acquisition during business expansion. Branding and Expansion Review and refine your brand strategy to align with the expanded market and target audience. Confirm that your brand positioning, messaging, and visual identity convey the unique value proposition of your business in a way that resonates with the new market. Digital Marketing for Growth Leverage the power of digital marketing channels to reach your target audience and generate leads. Invest in search engine optimization (SEO), social media marketing, content marketing, and targeted online advertising to expand your reach and drive traffic to your website or physical location. Catalyze Your Business Growth with Wrike Business growth requires effective strategies and the right tools. With Wrike, you can easily manage your growth strategies. Wrike allows you to create individual folders for each growth initiative, serving as a central hub for all relevant information and updates, fostering effective growth management. Beyond just growth management, Wrike offers a comprehensive suite of tools designed to streamline your workflows, foster collaboration, and drive productivity. From real-time communication to intuitive task management features, Wrike provides everything you need to catalyze your business growth and drive expansion. Ready to catalyze your business growth and drive expansion? There's no better time to start than now. Get started with Wrike for free today. Note: This article was created with the assistance of an AI engine. It has been reviewed and revised by our team of experts to ensure accuracy and quality.

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11.2 Steps in Developing a Research Proposal

Learning objectives.

• Identify the steps in developing a research proposal.
• Choose a topic and formulate a research question and working thesis.
• Develop a research proposal.

Writing a good research paper takes time, thought, and effort. Although this assignment is challenging, it is manageable. Focusing on one step at a time will help you develop a thoughtful, informative, well-supported research paper.

Your first step is to choose a topic and then to develop research questions, a working thesis, and a written research proposal. Set aside adequate time for this part of the process. Fully exploring ideas will help you build a solid foundation for your paper.

Choosing a Topic

When you choose a topic for a research paper, you are making a major commitment. Your choice will help determine whether you enjoy the lengthy process of research and writing—and whether your final paper fulfills the assignment requirements. If you choose your topic hastily, you may later find it difficult to work with your topic. By taking your time and choosing carefully, you can ensure that this assignment is not only challenging but also rewarding.

Writers understand the importance of choosing a topic that fulfills the assignment requirements and fits the assignment’s purpose and audience. (For more information about purpose and audience, see Chapter 6 “Writing Paragraphs: Separating Ideas and Shaping Content” .) Choosing a topic that interests you is also crucial. You instructor may provide a list of suggested topics or ask that you develop a topic on your own. In either case, try to identify topics that genuinely interest you.

After identifying potential topic ideas, you will need to evaluate your ideas and choose one topic to pursue. Will you be able to find enough information about the topic? Can you develop a paper about this topic that presents and supports your original ideas? Is the topic too broad or too narrow for the scope of the assignment? If so, can you modify it so it is more manageable? You will ask these questions during this preliminary phase of the research process.

Identifying Potential Topics

Sometimes, your instructor may provide a list of suggested topics. If so, you may benefit from identifying several possibilities before committing to one idea. It is important to know how to narrow down your ideas into a concise, manageable thesis. You may also use the list as a starting point to help you identify additional, related topics. Discussing your ideas with your instructor will help ensure that you choose a manageable topic that fits the requirements of the assignment.

In this chapter, you will follow a writer named Jorge, who is studying health care administration, as he prepares a research paper. You will also plan, research, and draft your own research paper.

Jorge was assigned to write a research paper on health and the media for an introductory course in health care. Although a general topic was selected for the students, Jorge had to decide which specific issues interested him. He brainstormed a list of possibilities.

If you are writing a research paper for a specialized course, look back through your notes and course activities. Identify reading assignments and class discussions that especially engaged you. Doing so can help you identify topics to pursue.

• Health Maintenance Organizations (HMOs) in the news
• Sexual education programs
• Hollywood and eating disorders
• Americans’ access to public health information
• Media portrayal of health care reform bill
• Depictions of drugs on television
• The effect of the Internet on mental health
• Popularized diets (such as low-carbohydrate diets)
• Fear of pandemics (bird flu, HINI, SARS)
• Electronic entertainment and obesity
• Advertisements for prescription drugs
• Public education and disease prevention

Set a timer for five minutes. Use brainstorming or idea mapping to create a list of topics you would be interested in researching for a paper about the influence of the Internet on social networking. Do you closely follow the media coverage of a particular website, such as Twitter? Would you like to learn more about a certain industry, such as online dating? Which social networking sites do you and your friends use? List as many ideas related to this topic as you can.

Narrowing Your Topic

Once you have a list of potential topics, you will need to choose one as the focus of your essay. You will also need to narrow your topic. Most writers find that the topics they listed during brainstorming or idea mapping are broad—too broad for the scope of the assignment. Working with an overly broad topic, such as sexual education programs or popularized diets, can be frustrating and overwhelming. Each topic has so many facets that it would be impossible to cover them all in a college research paper. However, more specific choices, such as the pros and cons of sexual education in kids’ television programs or the physical effects of the South Beach diet, are specific enough to write about without being too narrow to sustain an entire research paper.

A good research paper provides focused, in-depth information and analysis. If your topic is too broad, you will find it difficult to do more than skim the surface when you research it and write about it. Narrowing your focus is essential to making your topic manageable. To narrow your focus, explore your topic in writing, conduct preliminary research, and discuss both the topic and the research with others.

Exploring Your Topic in Writing

“How am I supposed to narrow my topic when I haven’t even begun researching yet?” In fact, you may already know more than you realize. Review your list and identify your top two or three topics. Set aside some time to explore each one through freewriting. (For more information about freewriting, see Chapter 8 “The Writing Process: How Do I Begin?” .) Simply taking the time to focus on your topic may yield fresh angles.

Jorge knew that he was especially interested in the topic of diet fads, but he also knew that it was much too broad for his assignment. He used freewriting to explore his thoughts so he could narrow his topic. Read Jorge’s ideas.

Conducting Preliminary Research

Another way writers may focus a topic is to conduct preliminary research . Like freewriting, exploratory reading can help you identify interesting angles. Surfing the web and browsing through newspaper and magazine articles are good ways to start. Find out what people are saying about your topic on blogs and online discussion groups. Discussing your topic with others can also inspire you. Talk about your ideas with your classmates, your friends, or your instructor.

Jorge’s freewriting exercise helped him realize that the assigned topic of health and the media intersected with a few of his interests—diet, nutrition, and obesity. Preliminary online research and discussions with his classmates strengthened his impression that many people are confused or misled by media coverage of these subjects.

Jorge decided to focus his paper on a topic that had garnered a great deal of media attention—low-carbohydrate diets. He wanted to find out whether low-carbohydrate diets were as effective as their proponents claimed.

Writing at Work

At work, you may need to research a topic quickly to find general information. This information can be useful in understanding trends in a given industry or generating competition. For example, a company may research a competitor’s prices and use the information when pricing their own product. You may find it useful to skim a variety of reliable sources and take notes on your findings.

The reliability of online sources varies greatly. In this exploratory phase of your research, you do not need to evaluate sources as closely as you will later. However, use common sense as you refine your paper topic. If you read a fascinating blog comment that gives you a new idea for your paper, be sure to check out other, more reliable sources as well to make sure the idea is worth pursuing.

Review the list of topics you created in Note 11.18 “Exercise 1” and identify two or three topics you would like to explore further. For each of these topics, spend five to ten minutes writing about the topic without stopping. Then review your writing to identify possible areas of focus.

Set aside time to conduct preliminary research about your potential topics. Then choose a topic to pursue for your research paper.

Collaboration

Please share your topic list with a classmate. Select one or two topics on his or her list that you would like to learn more about and return it to him or her. Discuss why you found the topics interesting, and learn which of your topics your classmate selected and why.

A Plan for Research

Your freewriting and preliminary research have helped you choose a focused, manageable topic for your research paper. To work with your topic successfully, you will need to determine what exactly you want to learn about it—and later, what you want to say about it. Before you begin conducting in-depth research, you will further define your focus by developing a research question , a working thesis, and a research proposal.

Formulating a Research Question

In forming a research question, you are setting a goal for your research. Your main research question should be substantial enough to form the guiding principle of your paper—but focused enough to guide your research. A strong research question requires you not only to find information but also to put together different pieces of information, interpret and analyze them, and figure out what you think. As you consider potential research questions, ask yourself whether they would be too hard or too easy to answer.

To determine your research question, review the freewriting you completed earlier. Skim through books, articles, and websites and list the questions you have. (You may wish to use the 5WH strategy to help you formulate questions. See Chapter 8 “The Writing Process: How Do I Begin?” for more information about 5WH questions.) Include simple, factual questions and more complex questions that would require analysis and interpretation. Determine your main question—the primary focus of your paper—and several subquestions that you will need to research to answer your main question.

Here are the research questions Jorge will use to focus his research. Notice that his main research question has no obvious, straightforward answer. Jorge will need to research his subquestions, which address narrower topics, to answer his main question.

Using the topic you selected in Note 11.24 “Exercise 2” , write your main research question and at least four to five subquestions. Check that your main research question is appropriately complex for your assignment.

Constructing a Working ThesIs

A working thesis concisely states a writer’s initial answer to the main research question. It does not merely state a fact or present a subjective opinion. Instead, it expresses a debatable idea or claim that you hope to prove through additional research. Your working thesis is called a working thesis for a reason—it is subject to change. As you learn more about your topic, you may change your thinking in light of your research findings. Let your working thesis serve as a guide to your research, but do not be afraid to modify it based on what you learn.

Jorge began his research with a strong point of view based on his preliminary writing and research. Read his working thesis statement, which presents the point he will argue. Notice how it states Jorge’s tentative answer to his research question.

One way to determine your working thesis is to consider how you would complete sentences such as I believe or My opinion is . However, keep in mind that academic writing generally does not use first-person pronouns. These statements are useful starting points, but formal research papers use an objective voice.

Write a working thesis statement that presents your preliminary answer to the research question you wrote in Note 11.27 “Exercise 3” . Check that your working thesis statement presents an idea or claim that could be supported or refuted by evidence from research.

Creating a Research Proposal

A research proposal is a brief document—no more than one typed page—that summarizes the preliminary work you have completed. Your purpose in writing it is to formalize your plan for research and present it to your instructor for feedback. In your research proposal, you will present your main research question, related subquestions, and working thesis. You will also briefly discuss the value of researching this topic and indicate how you plan to gather information.

When Jorge began drafting his research proposal, he realized that he had already created most of the pieces he needed. However, he knew he also had to explain how his research would be relevant to other future health care professionals. In addition, he wanted to form a general plan for doing the research and identifying potentially useful sources. Read Jorge’s research proposal.

Before you begin a new project at work, you may have to develop a project summary document that states the purpose of the project, explains why it would be a wise use of company resources, and briefly outlines the steps involved in completing the project. This type of document is similar to a research proposal. Both documents define and limit a project, explain its value, discuss how to proceed, and identify what resources you will use.

Writing Your Own Research Proposal

Now you may write your own research proposal, if you have not done so already. Follow the guidelines provided in this lesson.

Key Takeaways

• Developing a research proposal involves the following preliminary steps: identifying potential ideas, choosing ideas to explore further, choosing and narrowing a topic, formulating a research question, and developing a working thesis.
• A good topic for a research paper interests the writer and fulfills the requirements of the assignment.
• Defining and narrowing a topic helps writers conduct focused, in-depth research.
• Writers conduct preliminary research to identify possible topics and research questions and to develop a working thesis.
• A good research question interests readers, is neither too broad nor too narrow, and has no obvious answer.
• A good working thesis expresses a debatable idea or claim that can be supported with evidence from research.
• Writers create a research proposal to present their topic, main research question, subquestions, and working thesis to an instructor for approval or feedback.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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The Essential Guide to Doing Your Research Project

Student resources, chapter 7: designing a research plan.

A.    Checklist for Assessing Practicality

By running through the following questions, you can quickly assess the practicality of your methodological plan:

1.    Do you have/can you develop necessary expertise?

Interviewing, observing, theorizing, surveying, statistical analysis – various methods of data collection and analysis will require certain skills. And while you can develop new skills, time / interest can be an issue. Remember - competence is not a luxury. Your skills or lack thereof, will affect the quality of the data you collect and the credibility of the findings you generate.

2.    Is your method ethical? Is it likely to get required ethics approval?

A clear criterion of any research design is that it is ethical; and ethicality is likely to be audited by an ethics committee. If a study calls for interaction with people, it will often require formal workplace and/ or university ethics committee approval. Ethical studies take responsibility for integrity in the production of knowledge and ensures that the mental, emotional, and physical welfare of respondents is protected.

3.    Do you have required access to data?

A major challenge for researchers is gaining access to data. Whether you plan to explore documents, conduct interviews or surveys, or engage in observation, the best-laid plans are worthless if you can’t find a way to access people, places and/ or records.

4.    Is your time frame realistic?

If you have not given yourself long enough to do what your design demands, you are likely to: miss deadlines; compromise your study by changing your methods mid-stream; do a shoddy job with your original methods; compromise time that should be dedicated to other aspects of your job/ life; or finally, not completing your study at all.

5.    Do you have required financial/organizational support?

Whether you need to cover the cost of materials, postage, transcription etc., or the cost of bringing in a professional researcher to help with data collection or analysis, you will need finances. It is important to develop a realistic budget for your study. Research into any problem, no matter how worthy, will not be practical, or in fact, possible if you can’t cover costs. Also make sure that, if appropriate, you have organizational support for time to be dedicated to your project. Not being able to find time can be as debilitating to your study as not being able to find money.

B.    Checklist for Fundamental Methods Questions

-  Who do you want to be able to speak about?

-  Who do you plan to speak to/observe?

-  What is the physical domain of your sample?

-  Are settings relevant to the credibility of your methods?

-  How do your methods fit into your time frame?

-  Is timing relevant to the credibility of your methods?

-  How will I collect my data?

-  How will I implement my methods?

-  What will you look for/what will you ask?

Developing a Research Plan

• First Online: 20 September 2022

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• Habeeb Adewale Ajimotokan 2  

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Specify and discuss the elements of research proposal;

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Outline preferable sequence for the different section headings of a research protocol and discuss their contents; and

Discuss the basic engineering research tools and techniques.

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5StarEssays. (2020). Writing a research proposal—Outline, format and examples. In Complete guide to writing a research paper . Retrieved from https://www.5staressays.com/blog/writing-research-proposal

Walliman, N. (2011). Research methods: The basics . Routledge—Taylor and Francis Group.

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Olujide, J. O. (2004). Writing a research proposal. In H. A. Saliu & J. O. Oyebanji (Eds.), A guide on research proposal and report writing (Ch. 7, pp. 67–79). Faculty of Business and Social Sciences, Unilorin.

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Department of Mechanical Engineering, University of Ilorin, Ilorin, Nigeria

Habeeb Adewale Ajimotokan

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Ajimotokan, H.A. (2023). Developing a Research Plan. In: Research Techniques. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-13109-7_4

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Developing a Five-Year Research Plan

Cathy binger and lizbeth finestack, doi: 10.1044/cred-pvd-path006.

The following is a transcript of the presentation videos, edited for clarity.

What Is a Research Plan, and Why Do You Need One?

Presented by Cathy Binger

First we’re going to talk about what a research plan is, why it’s important to write one, and why five years—why not one year, why not ten years. So we’ll do some of those basic things, then Liza is going to get down and dirty into the nitty-gritty of “now what” how do I go about writing that research plan.

First of all, what is a research plan? I’m sure some of you have taken a stab at these already. In case you haven’t, this is a real personalized map that relates your projects to goals. It’s exactly what it sounds like, it’s a plan of how you’re going to go about doing your research. It doesn’t necessarily just include research.

It’s something that you need to put a little time and effort into in the beginning. And then, if you don’t revisit it, it’s really a useless document. It’s something that you need to come back to repeatedly, at least annually, and you need to make it visible. So it’s not a document that sits around and once a year you pull it out and look at it.

It can and should be designed, especially initially, with the help of a mentor or colleague. And it does serve multiple purposes, with different lengths and different amounts of detail.

I forgot to say, too, getting started, the slides for this talk were started using as a jumping off point Ray Kent’s talk from last year. So some of the slides we’ve borrowed from him, so many thanks to him for that.

But why do we want to do a research plan? Well, to me the big thing is the vision. Dr. Barlow talked this morning about your line of research and really knowing where you want to go, and this is where that shows up with all the nuts and bolts in place.

What do you want to accomplish? What do you want to contribute? Most of you are at the stage in your career where maybe you have started out with that you want to change the world scenario and realized that whatever you wanted your first research project to be, really, is your entire career. You need to get that down to the point where it is manageable projects that you can do—this is where you map out what those projects are and set reasonable timelines for that.

You want to really demonstrate your independent thinking and your own creativity, whatever that is that you then establish as a PhD student, postdoc, and beyond—this is where you come back to, okay, here’s how I’m going to go about achieving all of that.

This next point, learning to realistically gauge how long it takes to achieve each goal, this for most of us is a phenomenally challenging thing to do. Most of us really overestimate what we can do in a certain amount of time, and we learn the hard way that you can’t, and that’s another reason why you keep coming back to these plans repeatedly and learning over time what’s really manageable, what’s really doable, so we can still reach our goals and be very strategic about how we do that.

When you’re not strategic, you just don’t meet the goals. Your time gets sucked into so many different things. We need to be really practical and strategic.

Everything we do is going to take longer than we think.

I think this last one is something that maybe we don’t talk about enough. Really being honest with ourselves about the role of research in our lives. Not all of you are at very high-level research universities. Some of you have chosen to go elsewhere, where research maybe isn’t going to be playing the same role as it is for other people. The research plan for someone at an R One research intensive university is going to look quite different from someone who is at a primary teaching university. We need to be open and practical about that.

Getting sidetracked. I love this picture, I just found this picture the other day. This feels like my life. You can get pulled in so many different directions once you are a professor. You will get asked to do a thousand different things. There are lots of great opportunities that are out there. Especially initially, it’s tempting to say yes to all of them. But if you’re going to be productive, you have to be very strategic. I’m going to be a little bit sexist against my own sex here for a minute, but my observation has been that women tend to fall into this a little bit more than men do in wanting to say yes and be people pleasers for everything that comes down the pike.

It is a professional skill to learn how to say no. And to do that in such a way that you are not burning bridges as you go down the path. That is a critical skill if you are going to be a successful researcher. I can’t tell you how many countless people I’ve seen who are very bright, very dedicated, have the skills that it takes in terms of doing the work—but then they are not successful because they’ve gotten sidetracked and they try to be too much of a good citizen, give too much service to the department, too much “sure I’ll take on that extra class” or whatever else comes down the line.

I just spoke with a professor recently who had something like five hours a week of office hours scheduled every single week for one class. Margaret is shaking her head like “are you kidding?” That’s crazy stuff. But he wanted to really support his students. His students loved him, but he was not going to get tenure. That’s the story.

So we have to be very thoughtful and strategic, and what can help you with this, and ASHA very firmly recognizes which is why we’re here—is that your mentors in your life should be there to help you learn these skills and learn what to say yes to, and learn what to say no to. I’ve learned to say things like, “Let me check with my mentor before I agree to that.” And it gives you a way out of that. The line that I use a lot is, “Let me check with my department head” or, I just said this to somebody last week, “I just promised my department head two weeks ago that I would only do X number of external workshops this year, so I’m going to have to turn this one down.” Those are really important skills to develop.

And having that research plan in place that you can go back to and say, know what, it’s not on my plan I can’t do it. If I do it—I have to go back to my research plan and figure out what I’m going to kick off in order to review this extra paper, in order to take on this extra task. The plan also helps me to know exactly what to say no to. And to be very direct and have a very strong visual.

I actually have my research plan up on a giant whiteboard in my office, so I can always go back to that and see where I am, and I can say, “Okay, what am I going to kick off of here? Nothing. Okay, I have to say no to whatever comes up.” Just be strategic. This is where I see most beginning professors really end up taking that wrong fork in the road—taking that right instead of that left, and ending up not being the successful researcher that they wanted to be.

What evidence supports research planning? This was something Ray Kent had found. That a recent analysis had found that postdoc scholars who developed a written plan with their postdoc advisers were much more productive than those who didn’t. And your performance during a postdoc—and I know many of you have either finished your postdoc or decided not to—so more simply, just during those first six years, the decisions you make really do establish the foundation for the rest of your professional life. It’s very important to get started and get off on the right foot.

I love this quote, I just found it the other day: “Productivity is never an accident. It is always the result of a commitment to excellence, intelligent planning, and focused effort.”

What we see with productivity is that postdoc scholars who developed written productivity expectations with their advisers were more productive than those who didn’t. You see 23% more papers submitted, 30% more first-author papers, and more grant proposals as well.

So why five years? I’m going to start with number 5. It’s long enough to build a program of research, but short enough to deal with changing circumstances. That’s really the long and the short of the matter. As well as these other things as well that I won’t take the time to go through point by point.

What Should a Five-Year Plan Include?

Presented by Lizbeth Finestack

So, thinking about a five-year research plan, I like to think about it like your major “To Do List.” It’s what you’re going to accomplish in five years. Start thinking: What is going to be on my to do list?

You can also think about it like: Okay, I have research. I’ve got to do research. Maybe think about this as one big bucket, or maybe one humongous silo. I have some farm themes going on. Cathy was just on a farm, so I thought I’d tie that in.

So here’s your big silo. You can call that your research silo.

But more realistically, you need to think about it like separate buckets, separate silos, where research is just one of those. Just like Cathy indicated, there’s going to be lots of other things coming up that you’re going to have to manage. They are going to have to be on your to do list, you need to figure out how to fit everything in.

What all those other buckets or silos are, are really going to depend on your job. And maybe the size of the silos, and the size of the buckets are going to vary depending on where you are, what the expectations are at your institution.

That’s important to keep in mind, and Cathy said this too, it’s not going to be the same for everyone. The five-year plan has to be your plan, your to do list.

Here are some buckets or some silos that I have on my list and the way that I break it up, this is just one example, take it or leave it.

The first three are all very closely related, right? Thinking about grants, thinking about research, thinking about publications. I’m going to define grants as actual writing, getting the grant, getting the money.

Research is what you’re going to do once you get that money. Steps you need to take before you are getting the money. Any sorts of projects, the lab work, that’s why I have the lab picture there. Of course, publications are part of the product—what’s coming out of the research—but it also cycles in because you need publications to support that you are a researcher to apply for funding and show you have this line of research that you’ve established and you’ll be able to continue. So, those first three are really closely related. And that’s where I’ll go next. And then have teaching and service you see here at the bottom.

So thinking about research, in that broad sense. As you’re writing your five-year plan you’re going to want to think of, “What’s my long-term goal?” There’s lots of ways to think of long-term goals. You could think, before I die, this is what I want to accomplish. For me I kind of have that. My long-term goal is that I’m going to find the most effective and efficient interventions for kids with language impairment. Huge broad goal. But within that I can start narrowing it down.

Where am I within that? Within the next five years or maybe the next ten years, what is it I want to accomplish towards that goal. Then start thinking about: In order to accomplish that goal, what are the steps I need to take? Starting to break it down a little bit. Then it’s also going to be really important to think: where are you going to start? Where are you now? What do you need to have happen? And is it reasonable to accomplish this goal within five years? Is it going to take longer? Maybe you could do it in a couple years? Start thinking about the timeline that’s going to work for you.

Then thinking about your goals—and everyone’s program is going to be different, like I said, there’s going to be a lot of individual needs, preferences. So it might be the case that you have this one long-term goal that you’re aiming for. Long-term goal in the sense of, maybe, what you want to study in your R01, perhaps something like that. But in order to get to that point, you’re going to have several short-term goals that need to be accomplished.

Or maybe it’s the case that you have two long-term goals. And with each of those you’re going to have multiple short-term goals that you’re working on. Maybe the scope of each of these long-term goals is a little bit less than in that first scenario.

Start thinking about my research, what I want to do, and how it might fit into these different circumstances.

Also thinking about your goals, this is a slide from Ray Kent from last year, was thinking about the different types of projects you might want to pursue, and thinking about ones that are definitely well on your way. They are safe bets. You have some funding. They are going to lead directly into your longer-term plan.

Those are going to be your front burner—things you can easily focus on. That said, don’t put everything there.

You can also have things on the back burner. Things that really excite you, might have huge benefits, big pay. But you don’t want to spend all of your time there because they could be pretty risky.

Start thinking about where you’re putting your time. Are you putting it all on this high-risk thing that if it doesn’t pan out you’re going to be in big trouble? Or balancing that somewhat with your front burner. Making that steady progress that will lead directly to help fund an R01 or whatever the mechanism that you’re looking for.

Then, thinking about your goals—if you have multiple long-term goals, or thinking about your short-term goals, you could think about your process. Is it something where you need to do study 1 then study 2, then study 3—each of those building on each other, that’s leading to that long-term goal. In many cases, that is the case, where you have to get information from the first study which is going to lead directly to the second study and so forth.

Or is it the case that you can be working on these three short-term goals simultaneously? Spreading your resources at the same time. Maybe it will take longer for any one study, but across a longer period of time you’ll get the information that you need to reach that long-term goal.

Lots and lots of different ways to go about it. The important thing is to think about what your needs are and what makes the most sense for you.

Here’s my own little personal example. Starting over here, I have my dissertation study. My dissertation study was this early efficacy study looking at one treatment approach using novel forms that really can’t generalize to anything too useful, but it was important.

Then I did a follow up study, where I was taking that same paradigm, looking to see where kids with typical development perform on the task. So I have these two studies, and they served as my preliminary studies for an R03. So I just finished an R03 where I was looking at different treatment approaching for kids with primary language impairment. At the same time, while conducting my R03, I’m also looking at some different approaches that might help with language development. Also conducting surveys to see what current practices are.

I have these three projects going on simultaneously, that are going to lead to a bigger pilot study that are going to feed directly into my R01. All of this will serve as preliminary data to go into an R01.

Start thinking about your projects, what you have. Maybe starting with your dissertation project or work that you’re doing as a postdoc as seeing how that can feed into your long-term goal. And really utilizing it, building on it, to your benefit.

That’s all fine and dandy. You can draw these great pictures. But you still have to break it down some more. It’s not like, “Oh, I’m just going to do this project.” There are other steps involved, and lots of the time these steps are going to be just as time consuming.

Starting to think about: well, if you have the funding. Saying, “I want to do this study, but I have no money to do it.” What are the steps in order to get the money to do it? Do you have a pilot study? What do you need?

Start thinking about the resources? Do you need to develop stimuli, protocols, procedures? Start working on that. All of these can be very time consuming, and if you don’t jump on that immediately, it’s going to delay when you can start that project.

Thinking about IRB. Relationships for recruitment, if you’re working with special populations especially? Do you have necessary personnel, grad students, people to help you with the project? Do you need to train them? What’s the timeline of the study?

Start thinking about all these pieces, and how they are going to fit in that timeline.

This is one way that might help you start thinking about the resources that you need. This is online—Ray Kent had it in his talk, and when I was doing my searches I came across it too and I have the website at the end. Just different ways to think about the resources you might need.

Let’s talk about mapping it out. You have your long-term goal. You have your short-term goals. You’re breaking it down thinking about all those little steps that you need to accomplish. We gotta put it on a calendar. When is it going to happen?

This is an example—you might have your five years. Each month plugging in what are you going to accomplish by that time. Maybe it’s when are grant applications due? It’s going to be important to put those on there to go what do I need to do to make that deadline. Maybe it’s putting when you’re going to get publications out. Things like that.

Honestly, looking at this drives me a little bit crazy, it seems a bit overwhelming. But it’s important to get to these details.

This is an example from, I did Lessons for Success a few years ago and they had their format for doing your plan. I wrote out all my projects, started thinking about all the different aspects. So if something like this works for you, by all means you could use that type of procedure.

Here’s a grid that Ray Kent showed last year. We’re breaking it down by semester. Thinking about each of your semesters, what manuscripts you’re going to be working on, what data collection, your grant applications. Starting to get into some of those other buckets: course preparation, conference submissions.

We also need to include teaching and service.

You probably can’t see this very well. This is similar to that last slide Ray Kent had used last year.

I have my five year plan: what studies I want to accomplish, start thinking about breaking it down.

Then at the beginning of each semester, I fill in a grid like this. Where at the top, I have each of my buckets. I have my grant bucket, my writing bucket which is going to include publications. I also include doing article reviews in my writing bucket, because that’s my writing time. My teaching bucket, my research bucket. Then at the end, my service bucket.

At the beginning of the semester, I think about the big things I want to accomplish. I list those at the top. Then at the beginning of each month, I say, okay what are the things I’m going to accomplish this month, write those in. Then at the beginning of each week, I start looking at whether I’m dedicating any time to the things I said I was going to do that month. I start listing those out saying, this is the amount of time I’m going to spend on that. Of course, I have to take data on what I actually do, so I plug in how much time I’m spending on each of the tasks. Then I graph it, because that’s rewarding to see how much time you’re spending on things, and I get a little side-tracked sometimes.

Think about a system that will help you keep on track, to make sure you’re meeting the goals that you want to meet in terms of your research. But also getting the other things done that you need to get done in terms of teaching and service.

Discussion and Questions

Compiled from comments made during the Pathways 2014 and 2015 conferences. (Video unavailable.)

Building Flexibility into Your Five-Year Plan Comments by Ray Kent, University of Wisconsin-Madison

The five-year plan is not a contract. It’s a map or a compass. A general set of directions to help you plan ahead. It’s not even a contract with yourself, because it will inevitably be revised in some ways.

Sometimes cool things land in your lap. Very often it turns out that through serendipity or whatever else, you find opportunities that are very enticing. Some of those can be path to an entirely new line of research. Some of them can be a huge distraction and a waste of time. It’s a really cool part of science that new things come along. If we put on blinders and say, “I’m committed to my research plan,” and we don’t look to the left or the right, we’re really robbing ourselves of much of the richness of the scientific life. Science is full of surprises, and sometimes those surprises are going to appear as research projects. The problem is you don’t want to redirect all your time and resources to those until you’re really sure they are going to pay off. I personally believe, some of those high risk but really appealing projects are things you can nurse along. You can devote some time and build some collaborations – far enough to determine how realistic and viable they are. That’s important because those things can be the core of your next research program.

It’s very easy to get overcommitted. We all know people who always say “yes”—and we know those people, and they are often disappointing because they can’t get things done. It’s important to have new directions, but limit them. Don’t say, “I’m going to have 12 new directions this year.” Maybe one or two. Weigh them carefully. Talk about them with other people to get a judgment about how difficult it might be to implement them. It enriches science: not only our knowledge, but the way we acquire new knowledge. A psychologist, George Miller—this is the guy with the magic number 7 +- 2—when we interviewed him years ago at Boystown, he said, “My conviction is that everybody should be able to learn a new area of study within three months.” That’s what he thought for a scientist was a goal.

The idea is that you can learn new things. And that’s very important because when you think of it in terms of a 30-year career, how likely is it that the project that you’re undertaking at age 28 is the same project you’ll be working on at age 68? Not very likely. You’re going to be reinventing yourself as a scientist. And reinventing yourself is one of the most important things you can do, because otherwise you’re going to be dead wood. Some projects aren’t worth carrying beyond five or ten years. They have an expiration date.

Building Risk into Your Five-Year Plan Comments by Ray Kent, University of Wisconsin-Madison

Your doctoral study should generally be low-risk research. As you move into a postdoctoral fellowship, think about having two studies—one low-risk, one high-risk with a potential for high impact. At this time you can begin to play the risk factor a little bit differently.

When you are tenure-track you can have a mix of significance with low-risk and high-risk studies. And when you are tenured, then you can go for high risk, clinical trials, and collaborations. Because you have established your independence, so you do not need to worry about losing your visibility. You can be recognized as a legitimate member of the team.

As you plan your career, you should take risk into account. Just as you manage your money taking risk into account, we should manage our careers taking risk into account. I have met people who did not really think about that, and they embarked on some very risky procedures and wasted a lot of time and resources with very little to show for it. For example, don’t put everything into an untested technology basket. You want to be using state of the art technology, but you want to be sure it is going to give you what you need.

Other Formats and Uses of Your Research Plan Audience Comments

• If you do your job right with your job talk, there’s a lot of cross-pollination between your job talk and your research plan. Ideally your job talk tells your colleagues that this is the long-term plan that you have. And they shouldn’t be surprised when you submit a more detailed research plan. They should say, “okay this is very consistent with the job talk.” In my view, the job talk should be a crystal summary of the major aspects of that research program. Of course, much of the talk will be about a specific project or two—but it should always be embedded within the larger program. That helps the audience keep sight of the fact that you are looking at the program. You can say that this is one project that I’ve done, and I plan to do more of these, and this is how they are conceptually related. That’s a good example of why the research plan has multiple purposes – it can be a research statement, it can be the core of your job talk, it can be the nature of your elevator message, and it can be a version of your research plan for a K award application or R01 application or anything else of that nature.
• I think what’s useful is to actually draft your NIH biosketch. The new biosketch has a section called “contributions to science.” It’s really helpful to think about all your projects. It’s hard to start with a blank sheet of paper. But to have it in the format of a biosketch can be really helpful.

Avoiding Overcommitment Audience Comments

• One of the things that is amazing about planning is that if you put an estimate on the level of effort for each part of your plan, you’ll quickly find that you are living three or four lives. Some 300% of your time is spent. It’s helpful for those of us who might share my lack of ability to see constraints or limitations to reel it back and say, “I have a lot on my plate.” Which allows you to say no—which is not something we all do very well when it comes to those nice colleagues and those people you want to impress nationally and connect with. But it allows you to look at what’s planned and go, “I don’t know where I’d find the time to do that.” Which will hopefully help you stay on track.
• I keep a to do list, but I also keep a “to not do” list. One of the things I will keep on my plan is the maximum number of papers I will review in a year. If I hit that number in March, that’s it. I say no to every other paper that comes down the pike. That’s something to work out with your mentor as far as what’s realistic and what’s okay for you. Every time I get a request, I think, “That’s my reading and writing time, so what am I willing to give up. If it means I won’t be able to write on my own paper this week, am I willing to do this?”

Staying on Schedule with Reading, Writing, and Reviewing Audience Comments

• You have to do what works for you. Some people do wait for big blocks of time for writing—which are hard to come by. But the most important thing is to block off your time. Put it on your schedule, or it is the first thing that will get pushed aside.
• Another thing I’ve done with some of my colleagues is writing retreats. So maybe once a year, twice a year, we’ll get together. Usually we’ll go to a hotel or somewhere, and we’re just writing. It’s a great way to get a jumpstart on a project. Like, I need to sit down and start this manuscript, and you can keep going once you’ve got that momentum.
• My input would be that you really have to write all the time, every day. It’s a skill. I’ve found that if I take time off, my writing deteriorates. It’s something you need to keep up with.
• I would look at it like a savings account that you put money into on a daily, weekly, monthly basis. The flip side of writing is reading. I would read constantly, widely, and not just in the discipline. That will give you not only a breadth in terms of your understanding of your field and the world around you, but it will also give you an incentive to make your own contributions. I think we don’t talk enough about the comprehensive side to this, and being receptive to the reading. I have a book, or something, by my bedside every night. And I read that until I fall asleep every night. And it’s done me in good stead over the years.
• Reviewing articles can help advance your career, but it is something you need to weigh carefully as a draw on your time. You get a lot from it. You get to see what’s out there. You get to see what’s coming down the pipe before publication. To me that’s a huge benefit. You get to learn from other people’s writing, and that’s part of your reading you get to do. But it is time consuming. And it depends on the kinds of papers you get. Sometimes you’re lucky and sometimes you’re not.
• If someone else is reviewing your grants and your articles, at some point you owe it back. You should at least be in break-even mode. Now, pre-tenure or postdoc your mentor should be doing that or senior faculty in the department. But there are so many articles to review. I review so many articles, but I am also at the tail end of my career. The bottom line is, if you don’t put on your schedule that if you don’t put time on your schedule for reading, reviewing articles forces you to look at and think about the literature, so you can be accomplishing what you owe back to the field—and at the same time, staying one step ahead knowledge wise. It forces you to do what you should be doing all along, which is keeping up with the literature.

Further Reading: Web Resources

Golash-Boza, T. (2014). In Response to Popular Demand, More on the 5-Year Plan. The Professor Is In . Available at http://theprofessorisin.com/2014/05/09/in-response-to-popular-demand-more-on-the-5-year-plan

Kelsky, K. (2010). The Five-Year Plan for Tenure-Track Professors. Get a life, PhD . Available at http://getalifephd.blogspot.com/2010/07/five-year-plan-for-tenure-track.html

National Association of Geoscience Teachers (NAGT). (2012). Planning Worksheets . Planning your Research Program (Available from the Science Education Resource Center at Carelton College Website at http://serc.carleton.edu/).

Pfirman, S., Bell, R., Culligan, P., Balsam, P. & Laird, J. (2008) . Maximizing Productivity and Recognition , Part 3: Developing a Research Plan. Science Careers. Available at http://sciencecareers.sciencemag.org/career_magazine/previous_issues/articles/2008_10_10/caredit.a0800148

Cathy Binger University of New Mexico

Lizbeth Finestack University of Minnesota

Based on a presentation and slides originally developed by Ray Kent, University of Wisconsin-Madison.

Presented at Pathways (2015). Hosted by the American Speech-Language-Hearing Association Research Mentoring Network.

Pathways is sponsored by the National Institute on Deafness and Other Communication Disorders (NIDCD) of the National Institutes of Health (NIH) through a U24 grant awarded to ASHA.

Copyrighted Material. Reproduced by the American Speech-Language-Hearing Association in the Clinical Research Education Library with permission from the author or presenter.

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Chapter 30: Developing Your Research Process

Part 6: chapter 30.

T he text Successful Writing stresses that when you perform research, you are essentially trying to solve a mystery—you want to know how something works or why something happened. In other words, you want to answer a question that you (and other people) have about the world. This is one of the most basic reasons for performing research.

But the research process does not end when you have solved your mystery. Imagine what would happen if a detective collected enough evidence to solve a criminal case, but she never shared her solution with the authorities. Presenting what you have learned from research can be just as important as performing the research. Research results can be presented in a variety of ways, but one of the most popular—and effective—presentation forms is the research paper . A research paper presents an original thesis, or purpose statement, about a topic and develops that thesis with information gathered from a variety of sources.

If you are curious about the possibility of life on Mars, for example, you might choose to research the topic.

What will you do, though, when your research is complete? You will need to put your thoughts together in a logical, coherent manner. You may want to use the facts you have learned to create a narrative or to support an argument . And you may want to show the results of your research to your friends, your teachers, or even the editors of magazines and journals. Writing a research paper is an ideal way to organize thoughts, craft narratives or make arguments based on research, and share your newfound knowledge with the world.

Adapted from “ Chapter 11 ” of Successful Writing , 2012, used according to creative commons CC BY-SA 3.0 US

No matter what field of study you are interested in, you will most likely be asked to write a research paper during your academic career. Boundless Writing explains that a research paper is an expanded essay that relies on existing discourse to analyze a perspective or construct an argument. Because a research paper includes an extensive information-gathering process in addition to the writing process, it is important to develop a research plan to ensure your final paper will accomplish its goals. As a researcher, you have countless resources at your disposal, and it can be difficult to sift through each source while looking for specific information. If you begin researching without a plan, you could find yourself wasting hours reading sources that will be of little or no help to your paper. To save time and effort, decide on a research plan before you begin.

Creating a Research Plan

Having to write a research paper may feel intimidating at first. After all, researching and writing a long paper requires time, effort, and organization. However, writing a research paper can also be a great opportunity to explore an interesting topic. The research process allows you to gain expertise on a topic of your choice, and the writing process helps you not only remember what you have learned, but also understand it on a deeper level.

A research plan should begin after you can clearly identify the focus of your argument. Narrow the scope of your argument by identifying the specific subtopic you will research. A broad search will yield thousands of sources, which makes it difficult to form a focused, coherent argument, and it is not possible to include every topic in your research. If you narrow your focus, however, you can find targeted resources that can be synthesized into a new argument.

After narrowing your focus, think about key search terms that will apply only to your subtopic. Develop specific questions that can be answered through your research process, but be careful not to choose a focus that is overly narrow. You should aim for a question that will limit search results to sources that relate to your topic, but will still result in a varied pool of sources to explore.

If you are studying the Battle of Gettysburg, for example, you might decide to look into any number of topics related to the battle: medical practices on the field, social differences between soldiers, or military maneuvers. If your topic is medical practices in battle, any search for “Battle of Gettysburg” would return far too many general results. You would also not want to search for a single instance of surgery, because you might not be able to find enough information on it. Find a happy medium between a too broad or too specific topic to research.

Another part of your research plan should include the type of sources you want to gather. The possibilities include articles, scholarly journals, primary sources, textbooks, encyclopedias, and more. Most search engines will allow you to limit the search results by type of source. If you know that you are only looking for articles, you can exclude sources like interviews or abstracts from your search. If you are looking for specific kinds of data , like images or graphs, you might want to find a database dedicated to that sort of source.

You can also limit the time period from which you will draw resources. Do you only want articles written in the past ten or twenty years? Do you want them from a specific span of time? Again, most search engines will allow you to limit results to anything written within the years you specify, and the choice to limit the time period will depend on your topic. Determining these factors will help you form a specific research plan to guide your process.

Example of a Research Process

A successful research process should go through these steps:

Decide on the topic.

Narrow the topic in order to narrow search parameters.

Create a question that your research will address.

Generate sub-questions from your main question.

Determine what kind of sources are best for your argument.

Create a bibliography as you gather and reference sources.

Sometimes your instructor will provide a list of suggested topics. If so, you may benefit from identifying several possibilities before committing to one idea. According to Successful Writing , it is important to know how to narrow down your ideas into a concise, manageable thesis. You may also use the list as a starting point to help you identify additional, related topics. Discussing your ideas with your instructor will help ensure that you choose a manageable topic that fits the requirements of the assignment. For example, in step one, you might decide that your topic will be 19th-century literature.

Once you have a list of potential topics, you will need to choose one as the focus of your essay. You will also need to narrow your topic. Most writers find that the topics listed during the brainstorming or idea mapping stage are broad—too broad for the scope of the assignment (see chapter six, Drafting Strategies for tips on pre-writing). Researching an overly broad topic, such as sexual education programs or popularized diets, can be frustrating and overwhelming. Each topic has so many facets that it would be impossible to cover them all in a college research paper. However, more specific choices, such as the pros and cons of sexual education in kids’ television programs or the physical effects of the South Beach diet, are specific enough to write about without being too narrow to sustain an entire research paper.

A good research paper provides focused, in-depth information and analysis. If your topic is too broad, you will find it difficult to do more than skim the surface when you research it and write about it. Narrowing your focus is essential to making your topic manageable. To narrow your focus, explore your topic in writing, conduct preliminary research, and discuss both the topic and the research with others to help you determine the focus you are most interested in exploring.

So in step two you may narrow it down to 19th-century British science fiction, and then narrow it down even further to Mary Shelley’s Frankenstein.

Then, in step three, you would come up with a research question. A good research question will help you narrow your research. One question might be,

“How does Mary Shelley’s vision of generative life relate to the scientific theories of life that were developed in the 19th century?”

Posing a historical question opens up research to more reference possibilities.

In forming a research question, you are setting a goal for your research. Your main research question should be substantial enough to form the guiding principle of your paper—but focused enough to guide your research. A strong research question requires you not only to find information but also to put together different pieces of information, interpret and analyze them, and figure out what you think. As you consider potential research questions, ask yourself whether they would be too hard or too easy to answer.

Next, in step four, you generate sub-questions from your main question. For instance,

“During the 19th century, what were some of the competing theories about how life is created?,”

“Did any of Mary Shelley’s other works relate to the creation of life?”

After you know what sub-questions you want to pursue, you’ll be able to move to step five.

Now you will need to determine what kind of sources are best for your argument. Our example would lead us to possibly look at newspapers or magazines printed in the late 18th or early 19th century. In addition, books or essays on the topic, both contemporary and older, could be sources. It is likely that someone has researched your topic before, and even possibly a question similar to yours. Boundless Writing adds that books written since your time period on your specific topic could be a great source for further references. When you find a book that is written about your topic, check the bibliography for references that you can try to find yourself.

As you accumulate sources, make sure you create a bibliography, or a list of sources that you’ve used in your research and writing process (keeping track of those sources will help you to create you annotated bibliography, should your instructor require one. See Chapter 35 for creating annotated bibliographies). And finally, have fun doing the research!

This chapter is a synthesis of two chapters:

Adapted from “Chapter 7” of Writing , 2015 , used under creative commons CC-BY-SA 4.0  and “ Chapter 11 ” of Successful Writing , 2012, used according to creative commons CC BY-NC-SA 3.0

QuickTips: The Blog @ Evidence Explained

The Research Plan: Two-step Next Steps?

18 January 2014

We find a document. We analyze it. We create a research plan for what to do next, a plan that’s based on the evidence we gleaned from that document. Standard procedure, yes. But, as with everything, the devil lies in the details—particularly how well we analyze, how well we plan, and how flexible we are as researchers.

Last Tuesday, we tried that. ( https://www.evidenceexplained.com/quicktips/tuesday’s-tests-church-record-analysis )     *     We offered a document, an official church record from 1866, and gave a “what we previously knew” background about the subject of the record. Readers then offered their analyses—great ideas, all. Yvette Hoitink went a goodly bit further. After 13 bulleted issues that she astutely drew from the document, she added a five-step work plan—appropriately chosen and prioritized (except maybe for the last one {smile, please}).

Tuesday evening, after allowing all of you time to do your own assessments, we added a few of our thoughts about the document. We actually walked you through the working of our own first two steps and the result was definitely a Whoa, Nellie!  Based on the findings from Steps 1 and 2 we reevaluated the document, reached a different conclusion, and then added a totally new game plan for Steps 3 through 7.

This is what happens to most of our well-crafted research plans. Somewhere amid our pursuit of that list of must-dos, we find something that completely changes the picture we initially drew from the first document. We then revise the plan accordingly.

After our evening postscript, Yvette added one of her own: “Comparing your analysis to my own highlights one of my pitfalls: I tend to plan too far ahead. My first two steps were enough.”

Are two enough? Perhaps. If you’re left wondering How many steps should a research plan have?   our answer is As many as needed!  Most research projects involve many steps. Most individual research problems do involve more than two tasks. Even with the simplest of plans, it’s still good to plan ahead and that plan should consider three possible scenarios:

• The document’s details are accurate and, on that basis, we’ll do a, b, c, d, e, f, ... ;
• The document significantly errs somewhere; everything we plan, after we discover the error, will have to be reevaluated and we need to be prepared to move in an appropriate direction while we have access to relevant records;
• The document’s information is all correct and our detailed plan, which has brilliantly prioritized our tasks, will lead quickly to a new find that resolves our current problem and opens up new areas of discovery.

We always hope for Scenario 3. Realistically, Scenario 2 is what we'll more likely get.

    * You'll also find other examples of record analysis in our QuickLessons archive, particularly QuickLesson 3, "Flawed Records" ( https://www.evidenceexplained.com/content/quicklesson-3-flawed-records ) and QuickLesson 5 "Analyzing Records" ( https://www.evidenceexplained.com/content/quicklesson-5-analyzing-records ).

• Research plan

You're definitely making me

You're definitely making me rethink my strategies some more, and then some. After reading your thoughts, I think that my five-step-research plan was appropriate after all. Considering it only took me a few minutes to write down these five steps, it's not like it is a major inefficiency to change the plan if the first few steps make the last ones unnecessary or irrelevant. 

Where research planning is concerned, I think I'm still in the pendulum stage. For the first 20 years I did genealogy, I never created research plans but just thought about the next record and went for it. Then I read about research planning and went overboard, creating research plans that went on for several pages. So then I swung back again and only planned a few steps ahead. I'm still finding the optimum spot: far enough ahead to plan the research efficiently and be able to think on my feet if the records tell me something unexpected, but not so far ahead that the chances are slim that I'll ever get to any use out of the last part of the plan. 

Thank you so much for these examples and making me think, it's the best genealogical education I've ever had. 

Yvette, that's EE's mission:

Yvette, that's EE's mission: Encouraging researchers to rethink what they know, or think, or think they know.

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The value of a good research plan

A research plan is a guiding framework that can make or break the efficiency and success of your research project. Oftentimes teams avoid them because they’ve earned a reputation as a dry or actionless document — however, this doesn’t have to be the case.

In this article, we’ll go over the most important aspects of a good research plan and show you how they can be visual and actionable with monday.com Work OS.

Don’t miss more quality content!

Why is the research plan pivotal to a research project.

A research plan is pivotal to a research project because it identifies and helps define your focus, method, and goals while also outlining the research project from start to finish.

This type of plan is often necessary to:

• Apply for grants or internal company funding.
• Discover possible research partners or business partners.
• Take your research from an idea into reality.

It will also control the entire journey of the research project through every stage by defining crucial research questions and the hypothesis (theory) that you’ll strive to prove or disprove.

What goes into a research plan?

The contents of a thorough research plan should include a hypothesis, methodology, and more. There is some variation between academic and commercial research, but these are common elements:

• Hypothesis:  the problem you are trying to solve and the basis for a theoretical solution. For example, if I reduce my intake of calories, I’ll lose weight.
• Research questions: research questions help guide your investigation into particular issues. If you were looking into the potential impact of outsourcing production, you might ask something like: how would outsourcing impact our production costs?
• Research method: the method you’ll use to get the data for your research. For example, a case study, survey, interviews, a clinical trial, or user tests.
• Definitions: a glossary for the research plan, explaining the terminology that you use throughout the document.
• Conceptual frameworks:  a conceptual framework helps illustrate what you think you’ll discover with your research. In a sense, it’s a visual representation of a more complex hypothesis.

For commercial plans, there will also likely be a budget and timeline estimate, as well as concrete hypothetical benefits for the company (such as how much money the project should save you).

OK, so you’ve got a handle on the building blocks of a research plan, but how should you actually write it?

How do you write a research plan on monday.com?

The first, and perhaps most crucial part of having a good research plan is having the right medium for creating and sharing it. Using a pre-defined template can also make it much easier to get started.

On monday.com, you can choose from several templates like the Project Proposal Template or better yet the Research Power Tools Template to manage all aspects of your project including important communication with internal and external stakeholders and teammates.

Use your template to:

• Create workdocs
• Upload assets
• Provide feedback
• Assign task owners
• Automate communication

The next step in writing a research plan is choosing the topic. To pick the right topic, focus on these factors:

• What are the priorities of the potential funder/employer, such as the company or institution?
• Are there any relevant recent studies with results you can build on and explore with further research?
• Can you creatively adapt your experience — whether post-grad or professional — to make you the natural candidate? They don’t just need to believe in the research project, but also in your ability to manage it successfully.

Do your research, no pun intended. Once you’ve got the topic, you need to work on fleshing out the core ideas with the building blocks we mentioned above.

• Get specific with your research questions and goals. Don’t go with, “how can we revolutionize our HR practices?” Instead use, “what is the economic and environmental impact of only accepting digital CVs?”
• Use clear language aimed at gatekeepers.  If it’s a CTO (Chief Technology Officer) or a lab committee, you can use well-known technical terms. If they aren’t technical experts, adjust accordingly.
• Include preliminary data or highlight similar studies.  For companies, showing that a similar approach helped a competitor is a better argument than an empty assertion.

The recommended length of the plan depends on who you’re sending it to and their expectations. If possible, look at successful examples or directly ask your potential employers about their preferences. Not only do you need the right idea, but you also need to present it in the right way for your research project to have a fighting chance.

What is a good research plan?

A good research plan is one that gets accepted and funded to start doing the research.

If you want to plan a pivotal study, it’s not enough to consider the problem in a vacuum. You also need to evaluate how you can best communicate the value of your project to the gatekeepers.

Consider the entirety of your current situation and what that means for your project.

For example, inputs like funding, staff, IP, and how the scale of the project lines up with your company’s research budget. Or how it aligns with the goals of a University program. If the primary goal of the research is to impact a company or government agency directly, you should consider these stages of research engagement.

( Image Source )

• Inputs: anything from funding and staff to company IP that you need to both run the project and implement any results. Does this line up with the budget?
• Activities: case studies, trials, surveys, the actual research.
• Outputs: the final reports, any publications, and raw data.
• Outcome: how will it directly impact the company, organization, or larger society?
• Impacts: what are the indirect benefits or downsides?

In an internal research proposal, you can outline these aspects in separate sections. That allows different execs or managers to focus on the details that matter most to them. You must also work to engage stakeholders  and make sure that they understand the importance of your project.

Frequently asked questions

What are the 5 purposes of research.

The 2 primary purposes of research are to gather information or test an existing theory. When broken down further, you can see 5 more specific purposes:

• Exploratory research  is an early-stage inquiry that explores a topic for further study down the line, like exploring the deep ocean with a submersible vehicle.
• Descriptive research  aims to explore and describe a specific substance, person, or phenomenon.
• Explanatory research  is about figuring out the causal relationship, why something happens.
• Predictive research  is all about trying to predict what might happen in specific situations based on the properties of the research object.
• Meta-research  looks for overarching insights from multiple sources and tests the validity of common hypotheses.

What is a research work plan?

A research work plan is another name for a research plan, which is a critical component of any research proposal. Universities, labs, and companies use them to evaluate research projects before they decide to accept them.

As a researcher, it’s essential when targeting a funding opportunity of any kind.

What are the methods of research?

There are many research methods ranging from a simple online survey to a high-budget clinical study. Here are some examples of popular data collection methods:

• Clinical trials
• Experiments
• Case studies
• Observations

Which one is right for your plan depends on your hypothesis, goals, industry regulations, and more.

Create a dynamic research plan

If you want to turn your research project into a reality, you need to go beyond the academic and into management mode.

With a template from monday.com, you can plan out a research project from start to finish. Including goals and objectives, budget estimates, milestones, and more.

Send this article to someone who’d like it.

6.3 Steps in a Successful Marketing Research Plan

Learning outcomes.

By the end of this section, you will be able to:

• 1 Identify and describe the steps in a marketing research plan.
• 2 Discuss the different types of data research.
• 3 Explain how data is analyzed.
• 4 Discuss the importance of effective research reports.

Define the Problem

There are seven steps to a successful marketing research project (see Figure 6.3 ). Each step will be explained as we investigate how a marketing research project is conducted.

The first step, defining the problem, is often a realization that more information is needed in order to make a data-driven decision. Problem definition is the realization that there is an issue that needs to be addressed. An entrepreneur may be interested in opening a small business but must first define the problem that is to be investigated. A marketing research problem in this example is to discover the needs of the community and also to identify a potentially successful business venture.

Many times, researchers define a research question or objectives in this first step. Objectives of this research study could include: identify a new business that would be successful in the community in question, determine the size and composition of a target market for the business venture, and collect any relevant primary and secondary data that would support such a venture. At this point, the definition of the problem may be “Why are cat owners not buying our new cat toy subscription service?”

Additionally, during this first step we would want to investigate our target population for research. This is similar to a target market, as it is the group that comprises the population of interest for the study. In order to have a successful research outcome, the researcher should start with an understanding of the problem in the current situational environment.

Develop the Research Plan

Step two is to develop the research plan. What type of research is necessary to meet the established objectives of the first step? How will this data be collected? Additionally, what is the time frame of the research and budget to consider? If you must have information in the next week, a different plan would be implemented than in a situation where several months were allowed. These are issues that a researcher should address in order to meet the needs identified.

Research is often classified as coming from one of two types of data: primary and secondary. Primary data is unique information that is collected by the specific researcher with the current project in mind. This type of research doesn’t currently exist until it is pulled together for the project. Examples of primary data collection include survey, observation, experiment, or focus group data that is gathered for the current project.

Secondary data is any research that was completed for another purpose but can be used to help inform the research process. Secondary data comes in many forms and includes census data, journal articles, previously collected survey or focus group data of related topics, and compiled company data. Secondary data may be internal, such as the company’s sales records for a previous quarter, or external, such as an industry report of all related product sales. Syndicated data , a type of external secondary data, is available through subscription services and is utilized by many marketers. As you can see in Table 6.1 , primary and secondary data features are often opposite—the positive aspects of primary data are the negative side of secondary data.

There are four research types that can be used: exploratory, descriptive, experimental, and ethnographic research designs (see Figure 6.4 ). Each type has specific formats of data that can be collected. Qualitative research can be shared through words, descriptions, and open-ended comments. Qualitative data gives context but cannot be reduced to a statistic. Qualitative data examples are categorical and include case studies, diary accounts, interviews, focus groups, and open-ended surveys. By comparison, quantitative data is data that can be reduced to number of responses. The number of responses to each answer on a multiple-choice question is quantitative data. Quantitative data is numerical and includes things like age, income, group size, and height.

Exploratory research is usually used when additional general information in desired about a topic. When in the initial steps of a new project, understanding the landscape is essential, so exploratory research helps the researcher to learn more about the general nature of the industry. Exploratory research can be collected through focus groups, interviews, and review of secondary data. When examining an exploratory research design, the best use is when your company hopes to collect data that is generally qualitative in nature. 7

For instance, if a company is considering a new service for registered users but is not quite sure how well the new service will be received or wants to gain clarity of exactly how customers may use a future service, the company can host a focus group. Focus groups and interviews will be examined later in the chapter. The insights collected during the focus group can assist the company when designing the service, help to inform promotional campaign options, and verify that the service is going to be a viable option for the company.

Descriptive research design takes a bigger step into collection of data through primary research complemented by secondary data. Descriptive research helps explain the market situation and define an “opinion, attitude, or behavior” of a group of consumers, employees, or other interested groups. 8 The most common method of deploying a descriptive research design is through the use of a survey. Several types of surveys will be defined later in this chapter. Descriptive data is quantitative in nature, meaning the data can be distilled into a statistic, such as in a table or chart.

Again, descriptive data is helpful in explaining the current situation. In the opening example of LEGO , the company wanted to describe the situation regarding children’s use of its product. In order to gather a large group of opinions, a survey was created. The data that was collected through this survey allowed the company to measure the existing perceptions of parents so that alterations could be made to future plans for the company.

Experimental research , also known as causal research , helps to define a cause-and-effect relationship between two or more factors. This type of research goes beyond a correlation to determine which feature caused the reaction. Researchers generally use some type of experimental design to determine a causal relationship. An example is A/B testing, a situation where one group of research participants, group A, is exposed to one treatment and then compared to the group B participants, who experience a different situation. An example might be showing two different television commercials to a panel of consumers and then measuring the difference in perception of the product. Another example would be to have two separate packaging options available in different markets. This research would answer the question “Does one design sell better than the other?” Comparing that to the sales in each market would be part of a causal research study. 9

The final method of collecting data is through an ethnographic design. Ethnographic research is conducted in the field by watching people interact in their natural environment. For marketing research, ethnographic designs help to identify how a product is used, what actions are included in a selection, or how the consumer interacts with the product. 10

Examples of ethnographic research would be to observe how a consumer uses a particular product, such as baking soda. Although many people buy baking soda, its uses are vast. So are they using it as a refrigerator deodorizer, a toothpaste, to polish a belt buckle, or to use in baking a cake?

Select the Data Collection Method

Data collection is the systematic gathering of information that addresses the identified problem. What is the best method to do that? Picking the right method of collecting data requires that the researcher understand the target population and the design picked in the previous step. There is no perfect method; each method has both advantages and disadvantages, so it’s essential that the researcher understand the target population of the research and the research objectives in order to pick the best option.

Sometimes the data desired is best collected by watching the actions of consumers. For instance, how many cars pass a specific billboard in a day? What website led a potential customer to the company’s website? When are consumers most likely to use the snack vending machines at work? What time of day has the highest traffic on a social media post? What is the most streamed television program this week? Observational research is the collecting of data based on actions taken by those observed. Many data observations do not require the researched individuals to participate in the data collection effort to be highly valuable. Some observation requires an individual to watch and record the activities of the target population through personal observations .

Unobtrusive observation happens when those being observed aren’t aware that they are being watched. An example of an unobtrusive observation would be to watch how shoppers interact with a new stuffed animal display by using a one-way mirror. Marketers can identify which products were handled more often while also determining which were ignored.

Other methods can use technology to collect the data instead. Instances of mechanical observation include the use of vehicle recorders, which count the number of vehicles that pass a specific location. Computers can also assess the number of shoppers who enter a store, the most popular entry point for train station commuters, or the peak time for cars to park in a parking garage.

When you want to get a more in-depth response from research participants, one method is to complete a one-on-one interview . One-on-one interviews allow the researcher to ask specific questions that match the respondent’s unique perspective as well as follow-up questions that piggyback on responses already completed. An interview allows the researcher to have a deeper understanding of the needs of the respondent, which is another strength of this type of data collection. The downside of personal interviews it that a discussion can be very time-consuming and results in only one respondent’s answers. Therefore, in order to get a large sample of respondents, the interview method may not be the most efficient method.

Taking the benefits of an interview and applying them to a small group of people is the design of a focus group . A focus group is a small number of people, usually 8 to 12, who meet the sample requirements. These individuals together are asked a series of questions where they are encouraged to build upon each other’s responses, either by agreeing or disagreeing with the other group members. Focus groups are similar to interviews in that they allow the researcher, through a moderator, to get more detailed information from a small group of potential customers (see Figure 6.5 ).

Link to Learning

Focus groups.

Focus groups are a common method for gathering insights into consumer thinking and habits. Companies will use this information to develop or shift their initiatives. The best way to understand a focus group is to watch a few examples or explanations. TED-Ed has this video that explains how focus groups work.

You might be asking when it is best to use a focus group or a survey. Learn the differences, the pros and cons of each, and the specific types of questions you ask in both situations in this article .

Preparing for a focus group is critical to success. It requires knowing the material and questions while also managing the group of people. Watch this video to learn more about how to prepare for a focus group and the types of things to be aware of.

One of the benefits of a focus group over individual interviews is that synergy can be generated when a participant builds on another’s ideas. Additionally, for the same amount of time, a researcher can hear from multiple respondents instead of just one. 11 Of course, as with every method of data collection, there are downsides to a focus group as well. Focus groups have the potential to be overwhelmed by one or two aggressive personalities, and the format can discourage more reserved individuals from speaking up. Finally, like interviews, the responses in a focus group are qualitative in nature and are difficult to distill into an easy statistic or two.

Combining a variety of questions on one instrument is called a survey or questionnaire . Collecting primary data is commonly done through surveys due to their versatility. A survey allows the researcher to ask the same set of questions of a large group of respondents. Response rates of surveys are calculated by dividing the number of surveys completed by the total number attempted. Surveys are flexible and can collect a variety of quantitative and qualitative data. Questions can include simplified yes or no questions, select all that apply, questions that are on a scale, or a variety of open-ended types of questions. There are four types of surveys (see Table 6.2 ) we will cover, each with strengths and weaknesses defined.

Let’s start off with mailed surveys —surveys that are sent to potential respondents through a mail service. Mailed surveys used to be more commonly used due to the ability to reach every household. In some instances, a mailed survey is still the best way to collect data. For example, every 10 years the United States conducts a census of its population (see Figure 6.6 ). The first step in that data collection is to send every household a survey through the US Postal Service (USPS). The benefit is that respondents can complete and return the survey at their convenience. The downside of mailed surveys are expense and timeliness of responses. A mailed survey requires postage, both when it is sent to the recipient and when it is returned. That, along with the cost of printing, paper, and both sending and return envelopes, adds up quickly. Additionally, physically mailing surveys takes time. One method of reducing cost is to send with bulk-rate postage, but that slows down the delivery of the survey. Also, because of the convenience to the respondent, completed surveys may be returned several weeks after being sent. Finally, some mailed survey data must be manually entered into the analysis software, which can cause delays or issues due to entry errors.

Phone surveys are completed during a phone conversation with the respondent. Although the traditional phone survey requires a data collector to talk with the participant, current technology allows for computer-assisted voice surveys or surveys to be completed by asking the respondent to push a specific button for each potential answer. Phone surveys are time intensive but allow the respondent to ask questions and the surveyor to request additional information or clarification on a question if warranted. Phone surveys require the respondent to complete the survey simultaneously with the collector, which is a limitation as there are restrictions for when phone calls are allowed. According to Telephone Consumer Protection Act , approved by Congress in 1991, no calls can be made prior to 8:00 a.m. or after 9:00 p.m. in the recipient’s time zone. 12 Many restrictions are outlined in this original legislation and have been added to since due to ever-changing technology.

In-person surveys are when the respondent and data collector are physically in the same location. In-person surveys allow the respondent to share specific information, ask questions of the surveyor, and follow up on previous answers. Surveys collected through this method can take place in a variety of ways: through door-to-door collection, in a public location, or at a person’s workplace. Although in-person surveys are time intensive and require more labor to collect data than some other methods, in some cases it’s the best way to collect the required data. In-person surveys conducted through a door-to-door method is the follow-up used for the census if respondents do not complete the mailed survey. One of the downsides of in-person surveys is the reluctance of potential respondents to stop their current activity and answer questions. Furthermore, people may not feel comfortable sharing private or personal information during a face-to-face conversation.

Electronic surveys are sent or collected through digital means and is an opportunity that can be added to any of the above methods as well as some new delivery options. Surveys can be sent through email, and respondents can either reply to the email or open a hyperlink to an online survey (see Figure 6.7 ). Additionally, a letter can be mailed that asks members of the survey sample to log in to a website rather than to return a mailed response. Many marketers now use links, QR codes, or electronic devices to easily connect to a survey. Digitally collected data has the benefit of being less time intensive and is often a more economical way to gather and input responses than more manual methods. A survey that could take months to collect through the mail can be completed within a week through digital means.

Design the Sample

Although you might want to include every possible person who matches your target market in your research, it’s often not a feasible option, nor is it of value. If you did decide to include everyone, you would be completing a census of the population. Getting everyone to participate would be time-consuming and highly expensive, so instead marketers use a sample , whereby a portion of the whole is included in the research. It’s similar to the samples you might receive at the grocery store or ice cream shop; it isn’t a full serving, but it does give you a good taste of what the whole would be like.

So how do you know who should be included in the sample? Researchers identify parameters for their studies, called sample frames . A sample frame for one study may be college students who live on campus; for another study, it may be retired people in Dallas, Texas, or small-business owners who have fewer than 10 employees. The individual entities within the sampling frame would be considered a sampling unit . A sampling unit is each individual respondent that would be considered as matching the sample frame established by the research. If a researcher wants businesses to participate in a study, then businesses would be the sampling unit in that case.

The number of sampling units included in the research is the sample size . Many calculations can be conducted to indicate what the correct size of the sample should be. Issues to consider are the size of the population, the confidence level that the data represents the entire population, the ease of accessing the units in the frame, and the budget allocated for the research.

There are two main categories of samples: probability and nonprobability (see Figure 6.8 ). Probability samples are those in which every member of the sample has an identified likelihood of being selected. Several probability sample methods can be utilized. One probability sampling technique is called a simple random sample , where not only does every person have an identified likelihood of being selected to be in the sample, but every person also has an equal chance of exclusion. An example of a simple random sample would be to put the names of all members of a group into a hat and simply draw out a specific number to be included. You could say a raffle would be a good example of a simple random sample.

Another probability sample type is a stratified random sample , where the population is divided into groups by category and then a random sample of each category is selected to participate. For instance, if you were conducting a study of college students from your school and wanted to make sure you had all grade levels included, you might take the names of all students and split them into different groups by grade level—freshman, sophomore, junior, and senior. Then, from those categories, you would draw names out of each of the pools, or strata.

A nonprobability sample is a situation in which each potential member of the sample has an unknown likelihood of being selected in the sample. Research findings that are from a nonprobability sample cannot be applied beyond the sample. Several examples of nonprobability sampling are available to researchers and include two that we will look at more closely: convenience sampling and judgment sampling.

The first nonprobability sampling technique is a convenience sample . Just like it sounds, a convenience sample is when the researcher finds a group through a nonscientific method by picking potential research participants in a convenient manner. An example might be to ask other students in a class you are taking to complete a survey that you are doing for a class assignment or passing out surveys at a basketball game or theater performance.

A judgment sample is a type of nonprobability sample that allows the researcher to determine if they believe the individual meets the criteria set for the sample frame to complete the research. For instance, you may be interested in researching mothers, so you sit outside a toy store and ask an individual who is carrying a baby to participate.

Collect the Data

Now that all the plans have been established, the instrument has been created, and the group of participants has been identified, it is time to start collecting data. As explained earlier in this chapter, data collection is the process of gathering information from a variety of sources that will satisfy the research objectives defined in step one. Data collection can be as simple as sending out an email with a survey link enclosed or as complex as an experiment with hundreds of consumers. The method of collection directly influences the length of this process. Conducting personal interviews or completing an experiment, as previously mentioned, can add weeks or months to the research process, whereas sending out an electronic survey may allow a researcher to collect the necessary data in a few days. 13

Analyze and Interpret the Data

Once the data has been collected, the process of analyzing it may begin. Data analysis is the distillation of the information into a more understandable and actionable format. The analysis itself can take many forms, from the use of basic statistics to a more comprehensive data visualization process. First, let’s discuss some basic statistics that can be used to represent data.

The first is the mean of quantitative data. A mean is often defined as the arithmetic average of values. The formula is:

A common use of the mean calculation is with exam scores. Say, for example, you have earned the following scores on your marketing exams: 72, 85, 68, and 77. To find the mean, you would add up the four scores for a total of 302. Then, in order to generate a mean, that number needs to be divided by the number of exam scores included, which is 4. The mean would be 302 divided by 4, for a mean test score of 75.5. Understanding the mean can help to determine, with one number, the weight of a particular value.

Another commonly used statistic is median. The median is often referred to as the middle number. To generate a median, all the numeric answers are placed in order, and the middle number is the median. Median is a common statistic when identifying the income level of a specific geographic region. 14 For instance, the median household income for Albuquerque, New Mexico, between 2015 and 2019 was $52,911. 15 In this case, there are just as many people with an income above the amount as there are below.

Mode is another statistic that is used to represent data of all types, as it can be used with quantitative or qualitative data and represents the most frequent answer. Eye color, hair color, and vehicle color can all be presented with a mode statistic. Additionally, some researchers expand on the concept of mode and present the frequency of all responses, not just identifying the most common response. Data such as this can easily be presented in a frequency graph, 16 such as the one in Figure 6.9 .

Additionally, researchers use other analyses to represent the data rather than to present the entirety of each response. For example, maybe the relationship between two values is important to understand. In this case, the researcher may share the data as a cross tabulation (see Figure 6.10 ). Below is the same data as above regarding social media use cross tabulated with gender—as you can see, the data is more descriptive when you can distinguish between the gender identifiers and how much time is spent per day on social media.

Not all data can be presented in a graphical format due to the nature of the information. Sometimes with qualitative methods of data collection, the responses cannot be distilled into a simple statistic or graph. In that case, the use of quotations, otherwise known as verbatims , can be used. These are direct statements presented by the respondents. Often you will see a verbatim statement when reading a movie or book review. The critic’s statements are used in part or in whole to represent their feelings about the newly released item.

Infographics

As they say, a picture is worth a thousand words. For this reason, research results are often shown in a graphical format in which data can be taken in quickly, called an infographic .

Check out this infographic on what components make for a good infographic. As you can see, a good infographic needs four components: data, design, a story, and the ability to share it with others. Without all four pieces, it is not as valuable a resource as it could be. The ultimate infographic is represented as the intersection of all four.

Infographics are particularly advantageous online. Refer to this infographic on why they are beneficial to use online .

Prepare the Research Report

The marketing research process concludes by sharing the generated data and makes recommendations for future actions. What starts as simple data must be interpreted into an analysis. All information gathered should be conveyed in order to make decisions for future marketing actions. One item that is often part of the final step is to discuss areas that may have been missed with the current project or any area of further study identified while completing it. Without the final step of the marketing research project, the first six steps are without value. It is only after the information is shared, through a formal presentation or report, that those recommendations can be implemented and improvements made. The first six steps are used to generate information, while the last is to initiate action. During this last step is also when an evaluation of the process is conducted. If this research were to be completed again, how would we do it differently? Did the right questions get answered with the survey questions posed to the respondents? Follow-up on some of these key questions can lead to additional research, a different study, or further analysis of data collected.

Methods of Quantifying Marketing Research

One of the ways of sharing information gained through marketing research is to quantify the research . Quantifying the research means to take a variety of data and compile into a quantity that is more easily understood. This is a simple process if you want to know how many people attended a basketball game, but if you want to quantify the number of students who made a positive comment on a questionnaire, it can be a little more complicated. Researchers have a variety of methods to collect and then share these different scores. Below are some of the most common types used in business.

Is a customer aware of a product, brand, or company? What is meant by awareness? Awareness in the context of marketing research is when a consumer is familiar with the product, brand, or company. It does not assume that the consumer has tried the product or has purchased it. Consumers are just aware. That is a measure that many businesses find valuable. There are several ways to measure awareness. For instance, the first type of awareness is unaided awareness . This type of awareness is when no prompts for a product, brand, or company are given. If you were collecting information on fast-food restaurants, you might ask a respondent to list all the fast-food restaurants that serve a chicken sandwich. Aided awareness would be providing a list of products, brands, or companies and the respondent selects from the list. For instance, if you give a respondent a list of fast-food restaurants and ask them to mark all the locations with a chicken sandwich, you are collecting data through an aided method. Collecting these answers helps a company determine how the business location compares to those of its competitors. 17

Customer Satisfaction (CSAT)

Have you ever been asked to complete a survey at the end of a purchase? Many businesses complete research on buying, returning, or other customer service processes. A customer satisfaction score , also known as CSAT, is a measure of how satisfied customers are with the product, brand, or service. A CSAT score is usually on a scale of 0 to 100 percent. 18 But what constitutes a “good” CSAT score? Although what is identified as good can vary by industry, normally anything in the range from 75 to 85 would be considered good. Of course, a number higher than 85 would be considered exceptional. 19

Customer Acquisition Cost (CAC) and Customer Effort Score (CES)

Other metrics often used are a customer acquisition cost (CAC) and customer effort score (CES). How much does it cost a company to gain customers? That’s the purpose of calculating the customer acquisition cost. To calculate the customer acquisition cost , a company would need to total all expenses that were accrued to gain new customers. This would include any advertising, public relations, social media postings, etc. When a total cost is determined, it is divided by the number of new customers gained through this campaign.

The final score to discuss is the customer effort score , also known as a CES. The CES is a “survey used to measure the ease of service experience with an organization.” 20 Companies that are easy to work with have a better CES than a company that is notorious for being difficult. An example would be to ask a consumer about the ease of making a purchase online by incorporating a one-question survey after a purchase is confirmed. If a number of responses come back negative or slightly negative, the company will realize that it needs to investigate and develop a more user-friendly process.

Knowledge Check

It’s time to check your knowledge on the concepts presented in this section. Refer to the Answer Key at the end of the book for feedback.

• Defining the problem
• Developing the research plan
• Selecting a data collection method
• Designing the sample
• you are able to send it to all households in an area
• it is inexpensive
• responses are automatically loaded into the software
• the data comes in quickly
• Primary data
• Secondary data
• Secondary and primary data
• Professional data
• It shows how respondents answered two variables in relation to each other and can help determine patterns by different groups of respondents.
• By presenting the data in the form of a picture, the information is easier for the reader to understand.
• It is an easy way to see how often one answer is selected by the respondents.
• This analysis can used to present interview or focus group data.

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• Book title: Principles of Marketing
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• MyExperience

1) Plan Your Research: Developing a Research Question

• Research Strategy
• Developing a Research Question
• Outlining & Writing
• Proofreading & Editing
• Keeping Track of Sources

How Do I Come up with a Good Research Question?

The process of developing a research question can be broken down into four steps:

Step 1: Choose a topic by identifying a  broad area of interest

Step 2: Find  background information  to help you understand your topic

Step 3: Define your  research question

Step 4:  Modify and  refine  your search question to achieve a manageable focus

Step 1 – Choose a General Research Topic

This is the starting point for your research. You don't need to have a specific research question in mind at this point – just a general topic that you want to explore.

Things to consider when choosing an area to investigate:

• Choose something that is of genuine  interest  to you
• Choose something that is relevant to the assignment  
• Choose something that is significant enough to warrant research

As an example, you might decide that you want to take a closer look at the general area of censorship.

Step 2 – Find Background Information

Once you have a general topic in mind, it is important to refine your focus until you have a manageable topic. An idea like "I want to write a paper about the problem of censorship" lacks focus and will leave you frustrated.

Refining your topic can be difficult if you are not deeply familiar with your general area of interest. In order to help you focus your topic, it is important that you gather background information early on in your research.

The purpose of gathering background information is:

• To give you an overview of the topic as a whole
• To alert you to the key issues and controversies
• To provide you with a sense of how the topic area relates to other topic

To introduce you to the specialized vocabulary relating to the topic

Specialized dictionaries and encyclopedias   are a valuable tool at this stage of your research .

Specialized encyclopedias

• Have articles that are on specific topics within a particular area (A general encyclopedia would have an article on Buddhism, a religion encyclopedia would have an article on a specific Buddhist ritual)
• The articles are written by experts in the field
• The articles provide bibliographies that list other sources on the same topic
• The articles typically contain cross-references to other related topics
• Provide an introduction to specialized vocabulary

Specialized dictionaries

• Provide definitions for specialized vocabulary
• Often provide lengthy explanations associated with the vocabulary, more like a normal encyclopedia article

Step 3 – Translate Your Interest into a Research Question

After gathering background information, one of the easiest ways to focus your topic is to frame it as a question. Research is not passive reporting, it is a search for answers.

For instance, after doing research on censorship, you discover a current controversy involving censorship of the Internet. So, looking at your background research, you have determined that this is the area on which you wish to focus.

There are a number of ways to focus this interest even further into a research question.

Some questions to get you started

Who is involved?

• What are the political affiliations of those who are in favor of and opposed to censoring the Internet?
• How do public schools address Internet access and censorship?
• Does the government have the right to censor the Internet?

Are there comparisons you can make?

• How does the debate concerning Internet censorship differ from the debate about book banning?
• Does the Canada have different rules about Internet censorship than other countries?

Are there Pros & Cons to your topic? This reflects a potential decision to be made

• What are the ethical arguments for or against censoring the Internet?
• Should libraries censor Internet use?
• Should Internet filters block pornography?

Your background research using  specialized encyclopedias and dictionaries   will give you the knowledge you need to formulate a good research question.

Common problems with research questions

There are a number of common errors people make when formulating research questions.

The question is too broad to be manageable.

• Try instead, How did the conversion of Emperor Constantine affect the history of Christianity?
• Try instead, How effective are the current practices for cleaning oil spills?

The question is too narrow.

Sometimes the narrowness is logical (such as there being an easily obtainable "right" answer), and sometimes it is too narrow given the availability of resources.

• Try instead, What was the political process that enabled Sweden to establish nationalized healthcare?
• Try instead, What influence did the automobile labor unions have on the economy in the early 1970's?

The question cannot be answered.

Sometimes this is because of a logical problem in the question, because the information needed to answer the question cannot be logically or legally obtained.

• Try instead, How does teaching of evolution in public schools affect children who are raised in religions that embrace creationism?
• Try instead, What are the traits that make girls vulnerable for being forced into prostitution?

Step 4 – Further Modifying Your Topic

You will continue to modify your topic throughout the research process. How you modify your topic will depend upon:

• Whether there is too much information
• Whether there is too little information
• Whether new issues arise during the research process that need to be addressed

If you need any help with this part, always feel free to:

• Talk to your professor
• Ask a Reference Librarian  for help

Library Help

• << Previous: Research Strategy
• Next: Writing a Research Paper >>
• Last Updated: Jun 7, 2024 3:08 PM
• URL: https://library.ulethbridge.ca/plan

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Millcreek approves plan for BJ's Restaurant & Brewhouse on site of former auto center

The developer of a new Millcreek Mall restaurant is finalizing plans for the site. 

The 7,662-square-foot BJ’s Restaurant & Brewhouse is planned for construction on a portion of the property previously occupied by Sears Auto Center, off Peach Street. A portion of that property already is occupied by Sonic restaurant.

Township supervisors approved a land development plan for the project submitted by Bohler Engineering of Pittsburgh in June 2023. Yet to come is a stormwater management plan for the site. 

The developer can apply for construction permits once that plan is approved, township officials said. 

BJ's Restaurants Inc. owns and operates more than 200 restaurants in 29 states, including four others in Pennsylvania, in Pittsburgh, Upper St. Clair, Allentown and Lancaster, according to the  company website .

The restaurant/brewhouse specializes in deep-dish pizza and craft beers.

Lighting up East Bayfront

● The Bayfront East Side Taskforce is gearing up to help light up the neighborhood in Erie's historic Historic East Bayfront.

As one of four recipients of the Safe Routes to Parks Pennsylvania Activating Communities 2023 grant and technical assistance program, B.E.S.T. conducted a nighttime audit of the neighborhood to identify areas that might benefit from additional lighting.

The organization purchased light-sensor LED light bulbs and developed a plan to install them — free of charge —– for interested residents as part of their Safe Routes to Parks action plan.

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Indonesian university boosts Asia’s public health programmes through research training

Growing up in Bangladesh where several infectious diseases transmitted by helminths (worms) take a large health toll, Tilak Chandra Nath has always been fascinated with the challenges of addressing diseases of poverty.

After graduating as a biologist, Ezra Valido’s interest in infectious diseases took him to work in a rural, poor community in the eastern Philippines, where he headed public health programmes on tuberculosis, measles, dengue and chikungunya.

Valido’s community was devastated in 2013 by Typhoon Haiyan, one of the most powerful tropical cyclones ever recorded. From that, he gained experience working in the aftermath of a disaster, including how to prevent waterborne diseases and sanitation-related illnesses.

As a TDR-supported fellow, also at UGM in 2017, Valido’s research project focused on how willing people were to take doses of the dengue vaccine in poor communities in the Philippines’ Quezon City. His initial plan was to focus on how the vaccines were rolled out. But this had to be shelved after community and media outrage based on misinformation about the vaccine led the government to cancel its vaccination plans.

TDR’s postgraduate training programme on implementation research

Both Nath and Valido were part of a special postgraduate training programme focused on implementation research, based at UGM’s Faculty of Medicine, Public Health and Nursing, located in Yogyakarta. 

The programme, involving students from both WHO’s South-East Asia and Western Pacific Regions, is supported by TDR, a global programme for research on diseases of poverty ,   hosted by the World Health Organization (WHO) in Geneva, and co-sponsored by the United Nations Children’s Fund (UNICEF), the United Nations Development Programme (UNDP), WHO and the World Bank.

UGM is part of TDR’s global postgraduate training scheme network , developed over the past eight years to boost the skills of future research leaders.  

The initiative focuses on building students’ skills in implementation research, a fast-growing field that supports the identification of system bottlenecks to delivering health services and approaches to addressing them. It is particularly useful in low- and middle–income countries where many health interventions do not reach those who need them the most.

One of the two partner institutions in Asia Pacific is UGM, where the initiative is co-ordinated by Professor Yodi Mahendradhata, Dean of Research and Development at the Faculty of Medicine, Public Health and Nursing. 

Involved from the start

Mahendradhata is proud of the fact that UGM was involved from the start - back in 2015 – in  TDR’s fellowship scheme as well as in the parallel development of course content for implementation research. So he feels considerable ownership over how it has evolved.

“It wasn’t just about receiving the tools and the toolkits, but being involved very early on in the development of the implementation research course, and that is what we particularly appreciate from TDR,” said Mahendradhata. “We learned a lot from participating in the development process, and that gives us a sense of ownership.”

His university has also developed and piloted lessons on implementation research as a part of a TDR-supported Massive Open Online Course (MOOC) , enabling researchers in places like Nepal and Myanmar to participate in virtual training, with UGM as the hub.

Critical and relevant

Valido is sanguine about how he had to shift the focus of his research on a new dengue vaccine from examining the standard parameters of mass rollout to focusing on the vaccine’s  acceptability in one city, Quezon, the biggest city in the Philippines.

Sanofi Pasteur’s Dengvaxia vaccine was approved in the Philippines in December 2015 , and the government started to roll it out to primary school children in 2016. However, in late 2017, Sanofi issued a statement reporting that, in rare cases, the vaccine could increase the risk of severe dengue illness in children who had never had the disease if they contracted the virus after being vaccinated. A public outcry followed , and the health department suspended the vaccine programme soon afterwards.

“While we were conducting the research, an update on the vaccine information caused a media frenzy which eventually led to its suspension and eventual cancellation,” he says. “We had to change the research and eventually looked at the change in the acceptability of the vaccine pre- and post-controversy.”

“The programme teaches you to be critical and relevant, and I had to change my research to remain relevant,” Valido says.“At the time, the Philippines was the only country implementing mass dengue vaccination in schools.”

Dengvaxia has since been approved in a number of countries, including the US – but only for people clinically proven to have had dengue in the past.

Valido enjoyed the opportunity to dissect the Filippino government’s plans for the vaccine’s implementation, focusing on “strategic actions, context and health system thinking.” 

New insights into managing parasitic diseases

Meanwhile, Nath’s research into parasitic diseases gave him new insights into how they can be both managed and prevented.

“In developed countries, most parasitic diseases have been either eradicated or controlled, but the scenario is quite different in lower-income countries, where many diseases remain a serious constraint to public health safety,” says Nath.

“Through the TDR training programme,” he says, “I learned to investigate the problems in preventing these diseases in greater detail and pave the way to find an implementable solution for policy-makers to mitigate the burden.”

Preparing for the future

Following his studies at UGM, Nath continued his research training, completing a PhD in Medicine from the Chungbuk National University, in Korea, in the area of One Health.  He is now an Associate Professor in the Department of Parasitology at Sylhet Agricultural University in Bangladesh.

 In a sense he has come full-circle - bringing knowledge amassed through years of study abroad back to his home country to ponder issues that he wondered about since his youth.  

“I am now actively engaged with helminthiasis elimination and biobanking of parasites projects,” says Nath, who is currently also the director of Bangladesh’s Parasite Resource Bank, where he is investigating the interactions between human, animal, and environmental parasites, following the One Health approach. 

Meanwhile, Valido is working on the biomedical aspects of infectious diseases as a post-doctoral researcher at Swiss Paraplegic Research, where he is exploring the interaction of microbiomes and the spinal cord. He started this work while completing his PhD in Health Sciences at the University of Lucerne in Switzerland. 

Few scientists understand the biomedical aspects of infectious diseases and “the complexity of public health designs to improve health programmes, guide health policies and identify key health infrastructure,” Valido observes. The TDR training helped him to build that interdisciplinary skill set.

This is the first article in a series on TDR’s research capacity strengthening programme - building skills of public health researchers, implementers, health practitioners and policy-makers in the fast-developing field of implementation research for improving uptake of effective health interventions.

TDR’s postgraduate training scheme

The state of AI in 2023: Generative AI’s breakout year

You have reached a page with older survey data. please see our 2024 survey results here ..

The latest annual McKinsey Global Survey  on the current state of AI confirms the explosive growth of generative AI (gen AI) tools . Less than a year after many of these tools debuted, one-third of our survey respondents say their organizations are using gen AI regularly in at least one business function. Amid recent advances, AI has risen from a topic relegated to tech employees to a focus of company leaders: nearly one-quarter of surveyed C-suite executives say they are personally using gen AI tools for work, and more than one-quarter of respondents from companies using AI say gen AI is already on their boards’ agendas. What’s more, 40 percent of respondents say their organizations will increase their investment in AI overall because of advances in gen AI. The findings show that these are still early days for managing gen AI–related risks, with less than half of respondents saying their organizations are mitigating even the risk they consider most relevant: inaccuracy.

The organizations that have already embedded AI capabilities have been the first to explore gen AI’s potential, and those seeing the most value from more traditional AI capabilities—a group we call AI high performers—are already outpacing others in their adoption of gen AI tools. 1 We define AI high performers as organizations that, according to respondents, attribute at least 20 percent of their EBIT to AI adoption.

The expected business disruption from gen AI is significant, and respondents predict meaningful changes to their workforces. They anticipate workforce cuts in certain areas and large reskilling efforts to address shifting talent needs. Yet while the use of gen AI might spur the adoption of other AI tools, we see few meaningful increases in organizations’ adoption of these technologies. The percent of organizations adopting any AI tools has held steady since 2022, and adoption remains concentrated within a small number of business functions.

Table of Contents

• It’s early days still, but use of gen AI is already widespread
• Leading companies are already ahead with gen AI
• AI-related talent needs shift, and AI’s workforce effects are expected to be substantial
• With all eyes on gen AI, AI adoption and impact remain steady

About the research

1. it’s early days still, but use of gen ai is already widespread.

The findings from the survey—which was in the field in mid-April 2023—show that, despite gen AI’s nascent public availability, experimentation with the tools  is already relatively common, and respondents expect the new capabilities to transform their industries. Gen AI has captured interest across the business population: individuals across regions, industries, and seniority levels are using gen AI for work and outside of work. Seventy-nine percent of all respondents say they’ve had at least some exposure to gen AI, either for work or outside of work, and 22 percent say they are regularly using it in their own work. While reported use is quite similar across seniority levels, it is highest among respondents working in the technology sector and those in North America.

Organizations, too, are now commonly using gen AI. One-third of all respondents say their organizations are already regularly using generative AI in at least one function—meaning that 60 percent of organizations with reported AI adoption are using gen AI. What’s more, 40 percent of those reporting AI adoption at their organizations say their companies expect to invest more in AI overall thanks to generative AI, and 28 percent say generative AI use is already on their board’s agenda. The most commonly reported business functions using these newer tools are the same as those in which AI use is most common overall: marketing and sales, product and service development, and service operations, such as customer care and back-office support. This suggests that organizations are pursuing these new tools where the most value is. In our previous research , these three areas, along with software engineering, showed the potential to deliver about 75 percent of the total annual value from generative AI use cases.

In these early days, expectations for gen AI’s impact are high : three-quarters of all respondents expect gen AI to cause significant or disruptive change in the nature of their industry’s competition in the next three years. Survey respondents working in the technology and financial-services industries are the most likely to expect disruptive change from gen AI. Our previous research shows  that, while all industries are indeed likely to see some degree of disruption, the level of impact is likely to vary. 2 “ The economic potential of generative AI: The next productivity frontier ,” McKinsey, June 14, 2023. Industries relying most heavily on knowledge work are likely to see more disruption—and potentially reap more value. While our estimates suggest that tech companies, unsurprisingly, are poised to see the highest impact from gen AI—adding value equivalent to as much as 9 percent of global industry revenue—knowledge-based industries such as banking (up to 5 percent), pharmaceuticals and medical products (also up to 5 percent), and education (up to 4 percent) could experience significant effects as well. By contrast, manufacturing-based industries, such as aerospace, automotives, and advanced electronics, could experience less disruptive effects. This stands in contrast to the impact of previous technology waves that affected manufacturing the most and is due to gen AI’s strengths in language-based activities, as opposed to those requiring physical labor.

Responses show many organizations not yet addressing potential risks from gen AI

According to the survey, few companies seem fully prepared for the widespread use of gen AI—or the business risks these tools may bring. Just 21 percent of respondents reporting AI adoption say their organizations have established policies governing employees’ use of gen AI technologies in their work. And when we asked specifically about the risks of adopting gen AI, few respondents say their companies are mitigating the most commonly cited risk with gen AI: inaccuracy. Respondents cite inaccuracy more frequently than both cybersecurity and regulatory compliance, which were the most common risks from AI overall in previous surveys. Just 32 percent say they’re mitigating inaccuracy, a smaller percentage than the 38 percent who say they mitigate cybersecurity risks. Interestingly, this figure is significantly lower than the percentage of respondents who reported mitigating AI-related cybersecurity last year (51 percent). Overall, much as we’ve seen in previous years, most respondents say their organizations are not addressing AI-related risks.

2. Leading companies are already ahead with gen AI

The survey results show that AI high performers—that is, organizations where respondents say at least 20 percent of EBIT in 2022 was attributable to AI use—are going all in on artificial intelligence, both with gen AI and more traditional AI capabilities. These organizations that achieve significant value from AI are already using gen AI in more business functions than other organizations do, especially in product and service development and risk and supply chain management. When looking at all AI capabilities—including more traditional machine learning capabilities, robotic process automation, and chatbots—AI high performers also are much more likely than others to use AI in product and service development, for uses such as product-development-cycle optimization, adding new features to existing products, and creating new AI-based products. These organizations also are using AI more often than other organizations in risk modeling and for uses within HR such as performance management and organization design and workforce deployment optimization.

AI high performers are much more likely than others to use AI in product and service development.

Another difference from their peers: high performers’ gen AI efforts are less oriented toward cost reduction, which is a top priority at other organizations. Respondents from AI high performers are twice as likely as others to say their organizations’ top objective for gen AI is to create entirely new businesses or sources of revenue—and they’re most likely to cite the increase in the value of existing offerings through new AI-based features.

As we’ve seen in previous years , these high-performing organizations invest much more than others in AI: respondents from AI high performers are more than five times more likely than others to say they spend more than 20 percent of their digital budgets on AI. They also use AI capabilities more broadly throughout the organization. Respondents from high performers are much more likely than others to say that their organizations have adopted AI in four or more business functions and that they have embedded a higher number of AI capabilities. For example, respondents from high performers more often report embedding knowledge graphs in at least one product or business function process, in addition to gen AI and related natural-language capabilities.

While AI high performers are not immune to the challenges of capturing value from AI, the results suggest that the difficulties they face reflect their relative AI maturity, while others struggle with the more foundational, strategic elements of AI adoption. Respondents at AI high performers most often point to models and tools, such as monitoring model performance in production and retraining models as needed over time, as their top challenge. By comparison, other respondents cite strategy issues, such as setting a clearly defined AI vision that is linked with business value or finding sufficient resources.

The findings offer further evidence that even high performers haven’t mastered best practices regarding AI adoption, such as machine-learning-operations (MLOps) approaches, though they are much more likely than others to do so. For example, just 35 percent of respondents at AI high performers report that where possible, their organizations assemble existing components, rather than reinvent them, but that’s a much larger share than the 19 percent of respondents from other organizations who report that practice.

Many specialized MLOps technologies and practices  may be needed to adopt some of the more transformative uses cases that gen AI applications can deliver—and do so as safely as possible. Live-model operations is one such area, where monitoring systems and setting up instant alerts to enable rapid issue resolution can keep gen AI systems in check. High performers stand out in this respect but have room to grow: one-quarter of respondents from these organizations say their entire system is monitored and equipped with instant alerts, compared with just 12 percent of other respondents.

3. AI-related talent needs shift, and AI’s workforce effects are expected to be substantial

Our latest survey results show changes in the roles that organizations are filling to support their AI ambitions. In the past year, organizations using AI most often hired data engineers, machine learning engineers, and Al data scientists—all roles that respondents commonly reported hiring in the previous survey. But a much smaller share of respondents report hiring AI-related-software engineers—the most-hired role last year—than in the previous survey (28 percent in the latest survey, down from 39 percent). Roles in prompt engineering have recently emerged, as the need for that skill set rises alongside gen AI adoption, with 7 percent of respondents whose organizations have adopted AI reporting those hires in the past year.

The findings suggest that hiring for AI-related roles remains a challenge but has become somewhat easier over the past year, which could reflect the spate of layoffs at technology companies from late 2022 through the first half of 2023. Smaller shares of respondents than in the previous survey report difficulty hiring for roles such as AI data scientists, data engineers, and data-visualization specialists, though responses suggest that hiring machine learning engineers and AI product owners remains as much of a challenge as in the previous year.

Looking ahead to the next three years, respondents predict that the adoption of AI will reshape many roles in the workforce. Generally, they expect more employees to be reskilled than to be separated. Nearly four in ten respondents reporting AI adoption expect more than 20 percent of their companies’ workforces will be reskilled, whereas 8 percent of respondents say the size of their workforces will decrease by more than 20 percent.

Looking specifically at gen AI’s predicted impact, service operations is the only function in which most respondents expect to see a decrease in workforce size at their organizations. This finding generally aligns with what our recent research  suggests: while the emergence of gen AI increased our estimate of the percentage of worker activities that could be automated (60 to 70 percent, up from 50 percent), this doesn’t necessarily translate into the automation of an entire role.

AI high performers are expected to conduct much higher levels of reskilling than other companies are. Respondents at these organizations are over three times more likely than others to say their organizations will reskill more than 30 percent of their workforces over the next three years as a result of AI adoption.

4. With all eyes on gen AI, AI adoption and impact remain steady

While the use of gen AI tools is spreading rapidly, the survey data doesn’t show that these newer tools are propelling organizations’ overall AI adoption. The share of organizations that have adopted AI overall remains steady, at least for the moment, with 55 percent of respondents reporting that their organizations have adopted AI. Less than a third of respondents continue to say that their organizations have adopted AI in more than one business function, suggesting that AI use remains limited in scope. Product and service development and service operations continue to be the two business functions in which respondents most often report AI adoption, as was true in the previous four surveys. And overall, just 23 percent of respondents say at least 5 percent of their organizations’ EBIT last year was attributable to their use of AI—essentially flat with the previous survey—suggesting there is much more room to capture value.

Organizations continue to see returns in the business areas in which they are using AI, and they plan to increase investment in the years ahead. We see a majority of respondents reporting AI-related revenue increases within each business function using AI. And looking ahead, more than two-thirds expect their organizations to increase their AI investment over the next three years.

The online survey was in the field April 11 to 21, 2023, and garnered responses from 1,684 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of those respondents, 913 said their organizations had adopted AI in at least one function and were asked questions about their organizations’ AI use. To adjust for differences in response rates, the data are weighted by the contribution of each respondent’s nation to global GDP.

The survey content and analysis were developed by Michael Chui , a partner at the McKinsey Global Institute and a partner in McKinsey’s Bay Area office, where Lareina Yee is a senior partner; Bryce Hall , an associate partner in the Washington, DC, office; and senior partners Alex Singla and Alexander Sukharevsky , global leaders of QuantumBlack, AI by McKinsey, based in the Chicago and London offices, respectively.

They wish to thank Shivani Gupta, Abhisek Jena, Begum Ortaoglu, Barr Seitz, and Li Zhang for their contributions to this work.

This article was edited by Heather Hanselman, an editor in the Atlanta office.

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