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UX Research Plan Template

Create a strong business case for UX research and streamline your process with the UX research plan template.

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About the UX Research Plan Template

A UX research plan, also known as a user research plan, is a brief reference document that outlines your research project’s goals, key contributors, important dates, and timelines.

Think of your research plan as a UX-focused  kick-off document  for your project. The plan offers an overview of the research initiative, encourages well-defined and agreed-upon goals, and acts as a written guarantee that the research will meet these goals.

What is a UX research plan?

When conducting usability testing or user research with a goal in mind, researchers need to plan. UX researchers often present their findings to stakeholders, like product managers, developers, marketers, and executives, to act on those results.

You should present your UX research plan in plain language with a single document. Keep your findings clear, collaborative, easily accessed, and digestible to get buy-in for your research and your team’s next steps.

A user research plan typically has up to seven segments:

Project background: Reasons for the study and internal stakeholders involved.

Research goals and objectives: What your teams want to learn, or their ideal research outcome.

Research participants: Who they are and how they’ll be recruited.

Method: How you conducted research, and any other information about how the research will be conducted.

Guides: An interview guide or cheat sheet of instructions and questions to follow during the session.

Duration: A rough timeline of how long the research will take and when the team can review the report.

Other helpful information: Additional resources for your team, such as previous studies, scripts, or results, can inform this new round of research.

Research plans keep your team focused on outcomes rather than getting lost in the details or changing the research goal midway through the project. By the end of the project, UX researchers should feel confident that their questions were answered and presented in both the plan and actual research.

When to use UX research plans

UX research plans are useful for teams who need to decide on  questions such as:

What do our customers need? Who is our target persona?

Does the proposed or current design work well for our customers? How can we make it better?

Planning UX research also gives researchers an opportunity to:

Decide what works for your stakeholders, especially the questions they’re trying to answer.

Engage stakeholders and keep them invested in your research results.

Clarify your ideas, problems to be solved, and research approaches.

Treat your research plan as a blueprint for aligning expectations, asking for feedback, or generating enthusiasm and support for increasing the value of user research in your organization.

Create your own UX research plan template

Making your own UX research plans is easy, and Miro is the perfect tool to create and share them. Get started by selecting the UX research plan template, then take the following steps to make one of your own.

Give your team or stakeholders a quick project introduction.  You can hop on a video chat with up to 25 team members and remind everyone what you’re trying to achieve. Remember that research proves its value when it satisfies a single objective rather than many. If you seem to have lots of different goals or objectives, avoid overreaching and start fresh: what’s the one customer problem and business problem you’re trying to solve?

Define the user and business problems your research needs to solve.  The default sticky notes are simply for inspiration — feel free to edit each of these to fix your own context. If you want your team to focus on this area instead of skipping ahead, you can select the “problem” frame and  click the “hide frame” (closed eye) icon  that appears in the frame’s menu.

Define your research goals.  Ask your team to brainstorm their top three research goals or priorities. Remember that the best research sessions are chasing a single objective, so out of the two to three you note down, ask your team to vote for their preferences. Try  Miro’s Voting Plugin  to help your team reach a decision.

Draft your research questions.  Pick three to five questions with your team or stakeholders that are most important to your research. Aim for no more than 10. The more focused your questions, the more focused your research will be.

Link to useful supporting information as needed.  Keep this plan to the point in order to get buy-in. For stakeholders who need more detail, there may be other useful data to link to. If you have previous UX research results or relevant studies, link to them on your Miro Board. You can also import survey data, embed  tables and charts , or link sticky notes  to external sources .

Dive even deeper into how to conduct UX research – and see examples – in our expert guide to  user research .

Why should you use the UX Research Template?

Centralized planning: Centralize your UX research plans in one shared space. This ensures that all relevant information, including research objectives, methodologies, and timelines, is easily accessible in one place, reducing the risk of scattered or lost documentation.

Collaborative research: Multiple stakeholders, including designers, researchers, and product managers, can collaborate on your UX research plan template simultaneously, fostering a more inclusive and collaborative approach to research planning.

Visual representation of research steps: Create diagrams, flowcharts, and visual representations of the research process. This visual mapping helps teams better understand the sequence of research activities, identify dependencies, and effectively communicate the overall research strategy.

Iterative refinement: Provide feedback, comments, and suggestions directly on the UX research plan template. Promote continuous improvement, allowing the team to refine the research plan based on insights and changing project requirements.

Integration with user flows and personas: Integrate with other templates, such as user flows and persona maps. By connecting these elements, teams can create a holistic view of the user experience journey. This integration helps align research activities with the overall UX strategy and ensures a more cohesive and user-centric product design.

How can I ensure that a UX Research Plan remains effective?

Regularly review and update the research plan as project requirements evolve. It's crucial to stay flexible and adapt the plan based on the findings and changing project needs.

Get started with this template right now.

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Creating A User Research Plan (with Examples)

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UX research helps to test hypothesis you have about users prior to design. Sadly, not every UX design project starts with user research, and that’s because it takes a lot of time to recruit participants, run UX research projects, and sumamrize findings.

Good research, nevertheless, ensures that your product team doesn’t build the wrong functionality that would cost you valuable resources and make you vulnerable to losing customers.

In this article, you’ll see how you can use UX research plan to get stakeholder’s buy-in and create research reports that’s full of valuable advice for product design. Let’s go.

At the end, when you have your research complete, launch the right tool for your design process. For that, try UXPin, an end-to-end design tool for interactive prototyping that brings design and product development together.

Designers can create a powerful prototypes, show them to product managers who can interact with the design instead of just looking at it. Then, they give the design to engineers who can get all the specs and some code to kickstart front-end design with.

Since with UXPin you work faster, you have ample time for UX research before UX design. Try it for free .

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What is a UX Research Plan?

A UX research plan helps to set expectations and document the essentials you need to communicate to stakeholders and clients. Your company needs a strong business case for every user research session, complete with research objectives, goals, methods, and logistical needs for the study.

UX Research Plan Elements

Every UX research plan should start with a solid outline. That’s where templates come in handy. They help you structure your UX research project in a way that team members and stakeholders see value in completing research process.

Master templates are the best way to create a successful and effective UX research plan. Using a template as a starting point makes planning and writing easier and helps you and your team stay focused on the who, what, why, and when of research. Read on for tips and examples for how you can build a user research plan that works.

UX Research Plan Background

The background section should offer your clients and stakeholders a few sentences on why you are creating a user research plan and what it will accomplish. It should orient readers to the needs and expectations behind the purpose of the study. It should also include a problem statement, which is the primary question you’re setting out to answer with your research findings. 

Example Background

The purpose of this study is to understand the major pain points users experience in using our website/app and how these contribute to issues such as cart abandonment, returned items, and low customer loyalty. 

We will be using usability testing to follow the user’s experience of our website/app and the obstacles they encounter leading up to the point of purchase. We will also be using generative research techniques to better understand the customer’s experience of our brand and the challenges and needs they face in making a purchase. 

UX Research Plan Objectives

Before getting into the nitty-gritty of your user research plan, you first want to focus on your research objectives. This step outlines the reasons you are conducting a UX research plan in the first place. Why are you carrying out this research? What are the end goals you have after completing all the work?

Seeking out answers to these questions should be a collaborative effort between you and your stakeholders. It’s also helpful to consider discussions and learnings from past clients and projects to create metrics for your UX research plan. 

Objectives and Success Metrics

Research objectives will be different for every project, but they should always be actionable and specific. 

Example Objectives

  • Understand how users currently go about tracking orders on our website
  • Understand what actions customers take when they consider buying a new [product we offer]
  • Learn about competitor websites/apps customers are using to buy [product we offer]
  • Evaluate pain points customers are experiencing in using our website/app

And here are some examples to help you determine the success of your UX research plan.

Example Success Metrics

  • What information are we trying to collect about users?
  • What scales/documents/statistics do we intend to create?
  • What decisions will these materials help to make? 

UX Research Plan Methodology

This step should be a short and sweet description of the research methods you will use to answer the research objectives. It should include both secondary and primary methods. Generative methods, such as user interviews and open-ended questions, help uncover motivations or more general insights, while UX testing helps to evaluate the usability and experience of your product. 

UXRP 01

Research Scope & Focus Areas

Clearly outlining the research scope and focus areas helps to facilitate efficient user research planning. The more you’re able to hone in on the specifics of what information you are wanting to collect, the less overwhelmed you will be in the process. It also helps avoid inundating your clients with unnecessary information. 

To keep research-focused, this section should include:

  • 3-6 question topics (e.g. How do users spend their time on a website?)
  • Design Focus Components, including interface qualities (e.g. Usability, Training, Efficiency, Satisfaction)
  • Primary User Scenarios (e.g. Scenarios in which pain points are most problematic; scenarios you have the least information about, etc.)

Example Methodology

For this study, we’re conducting a 30-minute usability test to evaluate our user’s experience of our app/website. A secondary method will be to conduct one-on-one generative research interviews to better understand our customers and empathize with their needs. 

UX Research Plan Participant Profiles

Once you’ve defined objectives methodology and focus areas, it’s time to outline the participants you’ll need to get the required insights. Participant profiles help you determine who you want to recruit, or an approximation of your users, to optimize recruiting efforts. Here are a few examples of how to ensure you’ll get the best participants for your study. 

UXRP 02

Define your target user by collaborating with internal stakeholders, marketing, sales, and customer support. With their help, you can create approximations about who your users are. This is a great starting point for finding the right participants for your study. 

Compare yourself to your competitors and create participant profiles based on their audiences. Recruiting people who use a competitor’s product can be an excellent way to glean insights into how to further improve your product. 

Outline a screening process. Participant profiles should include any relevant information concerning your target audience, including behaviors, needs, demographics, geography, etc. Including the right criteria will help you evaluate whether or not to include certain individuals in your user research plan. 

This Nielsen Norman article offers some great information about defining and recruiting the right participants for your study. 

UX Research Plan Timeline

This is optional, but many UX research plans include a timeline that offers clients and stakeholders a general overview of how long the research will take. It helps to set expectations for the final results as well as allowing you to create a schedule for research sessions, debriefing, follow-up, and deliverables. 

Timeline Example: 

Approximately 6-8 weeks for identifying objectives, creating participant profiles, recruitment, in-person meetings, qualitative research, and analysis. 

Try an End-to-End Design Solution

UX research plan templates are essential tools for executing a successful project. Having a master template helps you to remember what the process entails, communicate essential information to the right people, and stay on track throughout the user research plan.

UXPin, besides being a great prototyping tool, makes creating such research templates fast and easy. Especially since each project will be a little different and plans will need tweaking in terms of structure and content. Try UXPin for free .

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Methodology

  • What Is a Research Design | Types, Guide & Examples

What Is a Research Design | Types, Guide & Examples

Published on June 7, 2021 by Shona McCombes . Revised on November 20, 2023 by Pritha Bhandari.

A research design is a strategy for answering your   research question  using empirical data. Creating a research design means making decisions about:

  • Your overall research objectives and approach
  • Whether you’ll rely on primary research or secondary research
  • Your sampling methods or criteria for selecting subjects
  • Your data collection methods
  • The procedures you’ll follow to collect data
  • Your data analysis methods

A well-planned research design helps ensure that your methods match your research objectives and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, other interesting articles, frequently asked questions about research design.

  • Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed-methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

  • How much time do you have to collect data and write up the research?
  • Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
  • Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
  • Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

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research plan design

Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types.

  • Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships
  • Descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analyzing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study—plants, animals, organizations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

  • Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalize your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study , your aim is to deeply understand a specific context, not to generalize to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question .

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviors, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews .

Observation methods

Observational studies allow you to collect data unobtrusively, observing characteristics, behaviors or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what kinds of data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected—for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.

Operationalization

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalization means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in—for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced, while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method , you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

  • How many participants do you need for an adequate sample size?
  • What inclusion and exclusion criteria will you use to identify eligible participants?
  • How will you contact your sample—by mail, online, by phone, or in person?

If you’re using a probability sampling method , it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method , how will you avoid research bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organizing and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymize and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings (high replicability ).

On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarize your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarize your sample data in terms of:

  • The distribution of the data (e.g., the frequency of each score on a test)
  • The central tendency of the data (e.g., the mean to describe the average score)
  • The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

  • Make estimates about the population based on your sample data.
  • Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

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.

  • 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

A research design is a strategy for answering your   research question . It defines your overall approach and determines how you will collect and analyze data.

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

Quantitative research designs can be divided into two main categories:

  • Correlational and descriptive designs are used to investigate characteristics, averages, trends, and associations between variables.
  • Experimental and quasi-experimental designs are used to test causal relationships .

Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.

The priorities of a research design can vary depending on the field, but you usually have to specify:

  • Your research questions and/or hypotheses
  • Your overall approach (e.g., qualitative or quantitative )
  • The type of design you’re using (e.g., a survey , experiment , or case study )
  • Your data collection methods (e.g., questionnaires , observations)
  • Your data collection procedures (e.g., operationalization , timing and data management)
  • Your data analysis methods (e.g., statistical tests  or thematic analysis )

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

Operationalization means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.

A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.

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The User Research and Insights Tool for Design and Product Teams

How to Create a UX Research Plan [Free Template Inside]

UX research plan

Benjamin Franklin once said, “If you fail to plan, you’re planning to fail”. While Benjamin Franklin wasn’t talking about UX research, the statement applies. 

Many researchers fail to plan because they assume they understand user research well enough to create a budget, timeline, process, and more. They conveniently forget that planning is the cornerstone of a successful project and expertise is never enough to see anything through. 

Creating a UX research plan allows you to leverage multiple perspectives from project stakeholders and teammates.  Stakeholders can help you understand where techniques might not work, timelines may be too tight, or budget insufficient to execute a research project. 

Research planning prevents surprises that may come up along the way. It reduces cost and helps you determine how each step of the UX research will be executed to ensure success.

In this guide, we’ll lead you through the steps of creating a UX research plan. You’ll also get a free template so you can create your first research plan immediately.

What Is UX Research?

UX research is the study of user interaction to obtain insights that improve the design process. UX researchers study a group of target users to collect and analyze data that leads to user-friendly products. 

The primary goal of UX research is to build products for the end-user based on real data not what you think the user wants. When you conduct UX research, you can give your audience the best solutions because you know what they need.

As a UX researcher, you could begin with qualitative research methods to collect data and understand the user’s needs and motivation. Next, you use quantitative measures such as usability testing to test your hypothesis and results.

What Is a UX Research Plan?

A UX research plan is a document that sets expectations and highlights the most important information you need to communicate with stakeholders in a research project. It is usually a collaboration between all stakeholders to ensure it meets the goals and objectives you’ve laid out.

A user research plan acts as a starting point to help you write easily and keep your team focused on the who, what, why, and when of a UX research project.

What Are the Benefits of Planning User Research?

benefits of UX research plan

Show Project Sponsors and Senior Executives the ROI of Your Research

In most scenarios, project sponsors do not care about the process or the user research techniques you choose. They want to know what your research will achieve and how much it will cost to execute. A brief research plan lays out the objective of the research and how it will benefit product design.

Engage Stakeholders

A written research plan is also a great way to engage stakeholders and ensure they’re involved with the research project and the results. You’ll also be leveraging the experience of team members who’ve conducted similar research in the past.

Keeps You Accountable

When you write something down, it looks different from what you pictured in your head. It eliminates the risk of missing steps in the process, going above budget, or losing sight of your research objectives. Think of a research plan as a list of checkpoints to make sure you’ve achieved each goal in your research.

Easier to Plug Holes in Your Process

A research plan helps you to learn what works or doesn’t work and questions you need to be asking. As you write down your plan and process, you can find holes and improve your research plan. It makes it easier to focus and prepare for the study.

How to Create a User Research Plan? 

How to create UX research plan

1. Write the Background of the Research

The background section should be brief. Tell stakeholders and clients about the recent history of the project, why you’re conducting the research, and what you’re going to accomplish. In a few sentences (no more than five lines of text), everyone should understand the purpose of the study.

The background section should also include the problem statement. A few ways to identify the problem statement include interviews with stakeholders, a deep analysis of the current data, or team sessions to brainstorm.

2. What Are the Objectives of the Research?

You must have an objective before getting in a room with users. The research objective drives all the research questions you’ll be asking participants during the user interview process.

Why are you conducting user research? What problems do you hope to solve? What is the end goal after completing the research?

Getting answers to these questions should be a collaborative effort between stakeholders and team members involved in the project.

3. Define Stakeholders

UX research plan example

Who are the stakeholders that will benefit from the results? Research project stakeholders could be employees in sales, customer support, C-level executives, or product teams.

When you’ve listed everyone you think should be involved, set up a meeting to brainstorm ideas and collect input. It’s easier to deliver the right insights when you’re involving the right stakeholders in your project.

4 . Study Existing Solutions

Have any studies been done on this topic in the past? Perhaps your competitors or in-house teammates have published previous findings that will work as the basis of your research? The answers will help you determine where to begin.

If your team uses Aurelius as a research repository , you’ll be able to easily search through past research projects to quickly find information and make Cross-Project Insights and recommendations from past research with your current project.

5. Recruit Participants

After defining the problem and objectives, it’s time to create a participant profile. Choosing the right participants is one of the most crucial parts of a project. 

When creating participant profiles start with characteristics such as occupation, age group, geography, and level of engagement with the product. Next, determine the number of participants to recruit for each UX research method. 

We advise internal collaboration with all stakeholders such as sales, marketing, and customer support teams to brainstorm a hypothesis on who your ideal user is. Analyze your competitors to see what type of users they have in their audience.

finding participants for user interviews

If you have a database, consider looking inwards to customers who already know your product. If you don’t, use a research recruitment platform to find participants. 

When recruiting externally, use a screener to hone in on your ideal participant. Is there a particular behavior you’re looking for? A qualifying action they must have taken within a specific timeframe? Do they need to be a certain age? Screeners ensure you’re bringing in the right users for your research.

6. Establish KPIs and Metrics of Success

How will success be determined?  What criteria will you use to check milestone achievements? Examples of success metrics include:

  • Time on task
  • Specific information about the user 
  • Decisions that the collected data will help you make 
  • Statistics you intend to create

7. Outline Scope and Focus of Research

Outlining the focus areas leads to efficient research planning. The deeper you’re able to hone in on the specific information you want to collect from the research, the more clarity you’ll have. 

8. Write Research Questions

This is the section where you’ll write down the research questions to ask during user interviews. Start by examining what you already know about the problem such as insights from previous research . Find the knowledge gaps and create questions to answer them.

When brainstorming research questions, it’s important to determine if the goal is to create a new design or to fix an existing design. 

If your objective is to build the right design, then your questions will focus on observing user behavior and leveraging mental models.

If the goal is to fix an existing design, then you’ll ask questions about usability to improve the current design. Whatever the goal is, aim for open-ended questions.

Here’s a comprehensive list of questions to ask when conducting UX research interviews

9. Determine Your Budget 

budget is an essential part of research planning

Budget plays a role in the amount of data you gather and how you conduct research. More budget equals flexibility to outsource to a dedicated recruitment service, run paid campaigns to attract more people, or even increase the incentives for participants.

More money also makes it easier to choose the right UX research methods that translate into quality insight. Conversely, with a small budget, you have to think of ways to stretch your funds such as using zoom over in-person meetings, limiting the number of research participants, or choosing inexpensive research techniques.

10. Establish Project Timeline

Having a timeline for executing the research plan lets stakeholders and clients know how long the research will take. There might be different expectations between what you think the timeline should be versus the client’s expectation. 

When establishing a timeline consider the following:

  • The scale of the project
  • The time needed to collect data for research analysis
  • Time for recruiting research participants
  • Number of teammates to engage in research activities
  • Unforeseen circumstances such as participants showing up late or needing to reschedule for another day

11. Develop Research Protocols

The research protocol is a list of questions and tasks you’ll cover during in-person sessions. It also includes a list of research methods you’ve chosen. 

A common practice is to write down the opening and closing statement of your UX interview. It begins with an explanation of the product, research objectives, and how long each interview session will take. In the end, you thank the participant for their time and answer any questions they might have.

Make sure you get feedback from stakeholders on the research questions as well as the following:

  • The duration of each session
  • Tasks each research participant will complete during usability testing
  • A script to guide each session
  • How to record interviews and protect participant data

12. Determine the Research Methods

In this section, you’ll discuss the UX research methods you’ll use during the research and explain why you’ve chosen these techniques.

While there are dozens of research methods to choose from, your choices should be informed by your research questions. Some, like A/B tests and surveys, are suited for quantitative research while others like user interviews and contextual inquiries work best for qualitative research . 

Learn more about how to choose a UX research method plus options to choose from during user research

13. Choose UX Research Tools 

Similar to research protocols, the research tools you choose should be based on your research objectives and questions.

When choosing UX research tools, consider the following:

  • Are you recruiting participants internally from your database or externally?
  • Is it going to be a usability test?
  • Will you conduct interviews via video conferencing?
  • How will you store and analyze research data ?
  • Are you going to A/B test certain elements for conversion?
  • Will you conduct surveys to collect mass feedback?

There are different tools that fulfill each of these objectives. For example, you can recruit participants from platforms like User Interviews and Userbrain . You can build a research repository to store data and get insights with Aurelius . Tools like Optimizely and Crazy Egg are great for A/B testing.

Get a comprehensive list of UX research tools to complete each stage of the research process in this article

14. Draw Insights and Present your Research Findings

This is the final stage when creating a UX research plan. The insights will be determined by the goals of the research. Is the goal to improve an existing product or create a new product? Which stakeholders will need access to the result?

Make sure you document your process and include details about setbacks you faced along the way, methodologies used, and session materials. This way, your team can have an overview to look back on when conducting the next research project.

To get insight from your research data, use Aurelius to analyze dozens of notes, audio/video recordings as well as spreadsheets.

difference between Aurelius and alternatives

Create a new project in Aurelius, import your data from anywhere, find information quickly with Tags, search for patterns with Keywords, highlight major findings with Key Insights and make suggestions with Recommendations.

Aurelius turns your recommendations and key insights into shareable reports that you can customize as you like. You can share or present your research findings via email, a PDF, or a live link to your report.

Learn More About How Aurelius Can Help You Improve the Research Process 

Asides from having a plan of action for research issues, you must have a plan for working with research participants. 

A few things to do during the first interaction with research participants include:

  • Inform users about the background of the research and what they’re signing up for
  • Tell them how you plan to store their data
  • Ask for permission to record the process
  • Ask for permission to use their data for research purposes only
  • Share details about the UX research process
  • Tell them the methods you’re using to collect data 

If you feel like it’s too much information, remember that it’s better to overshare than to not give sufficient information.

Use a Template to Streamline UX Research Planning

Templates help you create research plans quickly. Think of it as a starting point for your research project. It includes all the essential elements you need to conduct research and communicate your findings.

Go ahead and download our free UX research plan template. Then, use the tips above to fill out the template.

Download our free UX research plan template

IMAGES

  1. Planning Your Research: A Step-By-Step Guide To A Successful Research

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  2. 8 Steps of Research Planning Process You Should Know

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  3. Developing a Five-Year Research Plan

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  4. Research Design Plan Template Five Ingenious Ways You Can Do With

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  5. How to Create a UX Research Plan [Free Template Inside]

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  6. FREE 26+ Research Plan Samples in PDF

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VIDEO

  1. Research Design

  2. Research Design

COMMENTS

  1. How to Create a User Research Plan

    Research plans are the outputs of UX research design, which is the process of planning research. Simple enough, right? Why you need a research plan for qualitative research. It’s only been a few paragraphs since we last said it, but this bears repeating: A good research plan is a prerequisite for doing good user research.

  2. UX Research Plan Template & Example for Teams

    A UX research plan, also known as a user research plan, is a brief reference document that outlines your research project’s goals, key contributors, important dates, and timelines. Think of your research plan as a UX-focused kick-off document for your project.

  3. Creating A User Research Plan (with Examples)

    Try an End-to-End Design Solution. UX research plan templates are essential tools for executing a successful project. Having a master template helps you to remember what the process entails, communicate essential information to the right people, and stay on track throughout the user research plan.

  4. What Is a Research Design

    Step 1: Consider your aims and approach. Step 2: Choose a type of research design. Step 3: Identify your population and sampling method. Step 4: Choose your data collection methods. Step 5: Plan your data collection procedures. Step 6: Decide on your data analysis strategies. Other interesting articles.

  5. How to Create a UX Research Plan [Free Template Inside]

    A brief research plan lays out the objective of the research and how it will benefit product design. Engage Stakeholders. A written research plan is also a great way to engage stakeholders and ensure they’re involved with the research project and the results.