July 14, 2020
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How to create a UX research plan

Summary: A detailed UX research plan helps you keep your overarching research goals in mind as you work through the logistics of a research project.

There’s nothing quite like the feeling of sitting down to interview one of your users, steering the conversation in interesting directions and taking note of valuable comments and insights. But, as every researcher knows, it’s also easy to get carried away. Sometimes, the very process of user research can be so engrossing that you forget the reason you’re there in the first place, or unexpected things that come up that can force you to change course or focus.

This is where a UX research plan comes into play. Taking the time to set up a detailed overview of your high-level research goals, team, budget and timeframe will give your research the best chance of succeeding. It's also a good tool for fostering alignment - it can make sure everyone working on the project is clear on the objectives and timeframes. Over the course of your project, you can refer back to your plan – a single source of truth. After all, as Benjamin Franklin famously said: “By failing to prepare, you are preparing to fail”.

In this article, we’re going to take a look at the best way to put together a research plan.

Your research recipe for success

Any project needs a plan to be successful, and user research is no different. As we pointed out above, a solid plan will help to keep you focused and on track during your research – something that can understandably become quite tricky as you dive further down the research rabbit hole, pursuing interesting conversations during user interviews and running usability tests. Thought of another way, it’s really about accountability. Even if your initial goal is something quite broad like “find out what’s wrong with our website”, it’s important to have a plan that will help you to identify when you’ve actually discovered what’s wrong.

So what does a UX research plan look like? It’s basically a document that outlines the where, why, who, how and what of your research project.

It’s time to create your research plan! Here’s everything you need to consider when putting this plan together.

Make a list of your stakeholders

The first thing you need to do is work out who the stakeholders are on your project. These are the people who have a stake in your research and stand to benefit from the results. In those instances where you’ve been directed to carry out a piece of research you’ll likely know who these people are, but sometimes it can be a little tricky. Stakeholders could be C-level executives, your customer support team, sales people or product teams. If you’re working in an agency or you’re freelancing, these could be your clients.

Make a list of everyone you think needs to be consulted and then start setting up catch-up sessions to get their input. Having a list of stakeholders also makes it easy to deliver insights back to these people at the end of your research project, as well as identify any possible avenues for further research. This also helps you identify who to involve in your research (not just report findings back to).

Action: Make a list of all of your stakeholders.

Write your research questions

Before we get into timeframes and budgets you first need to determine your research questions, also known as your research objectives. These are the ‘why’ of your research. Why are you carrying out this research? What do you hope to achieve by doing all of this work? Your objectives should be informed by discussions with your stakeholders, as well as any other previous learnings you can uncover. Think of past customer support discussions and sales conversations with potential customers.

Here are a few examples of basic research questions to get you thinking. These questions should be actionable and specific, like the examples we’ve listed here:

  • “How do people currently use the wishlist feature on our website?”
  • “How do our current customers go about tracking their orders?”
  • “How do people make a decision on which power company to use?”
  • “What actions do our customers take when they’re thinking about buying a new TV?”

A good research question should be actionable in the sense that you can identify a clear way to attempt to answer it, and specific in that you’ll know when you’ve found the answer you’re looking for. It's also important to keep in mind that your research questions are not the questions you ask during your research sessions - they should be broad enough that they allow you to formulate a list of tasks or questions to help understand the problem space.

Action: Create a list of possible research questions, then prioritize them after speaking with stakeholders.

What is your budget?

Your budget will play a role in how you conduct your research, and possibly the amount of data you're able to gather.

Having a large budget will give you flexibility. You’ll be able to attract large numbers of participants, either by running paid recruitment campaigns on social media or using a dedicated participant recruitment service. A larger budget helps you target more people, but also target more specific people through dedicated participant services as well as recruitment agencies.

Note that more money doesn't always equal better access to tools - e.g. if I work for a company that is super strict on security, I might not be able to use any tools at all. But it does make it easier to choose appropriate methods and that allow you to deliver quality insights. E.g. a big budget might allow you to travel, or do more in-person research which is otherwise quite expensive.

With a small budget, you’ll have to think carefully about how you’ll reward participants, as well as the number of participants you can test. You may also find that your budget limits the tools you can use for your testing. That said, you shouldn’t let your budget dictate your research. You just have to get creative!

Action: Work out what the budget is for your research project. It’s also good to map out several cheaper alternatives that you can pursue if required.

How long will your project take?

How long do you think your user research project will take? This is a necessary consideration, especially if you’ve got people who are expecting to see the results of your research. For example, your organization’s marketing team may be waiting for some of your exploratory research in order to build customer personas. Or, a product team may be waiting to see the results of your first-click test before developing a new signup page on your website.

It’s true that qualitative research often doesn’t have a clear end in the way that quantitative research does, for example as you identify new things to test and research. In this case, you may want to break up your research into different sub-projects and attach deadlines to each of them.

Action: Figure out how long your research project is likely to take. If you’re mixing qualitative and quantitative research, split your project timeframe into sub-projects to make assigning deadlines easier.

Understanding participant recruitment

Who you recruit for your research comes from your research questions. Who can best give you the answers you need? While you can often find participants by working with your customer support, sales and marketing teams, certain research questions may require you to look further afield.

The methods you use to carry out your research will also have a part to play in your participants, specifically in terms of the numbers required. For qualitative research methods like interviews and usability tests, you may find you’re able to gather enough useful data after speaking with 5 people. For quantitative methods like card sorts and tree tests, it’s best to have at least 30 participants. You can read more about participant numbers in this Nielsen Norman article.

At this stage of the research plan process, you’ll also want to write some screening questions. These are what you’ll use to identify potential participants by asking about their characteristics and experience.

Action: Define the participants you’ll need to include in your research project, and where you plan to source them. This may require going outside of your existing user base.

Which research methods will you use?

The research methods you use should be informed by your research questions. Some questions are best answered by quantitative research methods like surveys or A/B tests, with others by qualitative methods like contextual inquiries, user interviews and usability tests. You’ll also find that some questions are best answered by multiple methods, in what’s known as mixed methods research.

If you’re not sure which method to use, carefully consider your question. If we go back to one of our earlier research question examples: “How do our current customers go about tracking their orders?”, we’d want to test the navigation pathways.

If you’re not sure which method to use, it helps to carefully consider your research question. Let’s use one of our earlier examples: “Is it easy for users to check their order history in our iPhone app?” as en example. In this case, because we want to see how users move through our app, we need a method that’s suited to testing navigation pathways – like tree testing.

For the question: “What actions do our customers take when they’re thinking about buying a new TV?”, we’d want to take a different approach. Because this is more of an exploratory question, we’re probably best to carry out a round of user interviews and ask questions about their process for buying a TV.

Action: Before diving in and setting up a card sort, consider which method is best suited to answer your research question.

Develop your research protocol

A protocol is essentially a script for your user research. For the most part, it’s a list of the tasks and questions you want to cover in your in-person sessions. But, it doesn’t apply to all research types. For example, for a tree test, you might write your tasks, but this isn't really a script or protocol.

Writing your protocol should start with actually thinking about what these questions will be and getting feedback on them, as well as:

  • The tasks you want your participants to do (usability testing)
  • How much time you’ve set aside for the session
  • A script or description that you can use for every session
  • Your process for recording the interviews, including how you’ll look after participant data.

Action: This is essentially a research plan within a research plan – it’s what you’d take to every session.

Happy researching!

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Quantifying the value of User Research in 2024 

Think your company is truly user-centric? Think again. Our groundbreaking report on UX Research (UXR) in 2024 shatters common assumptions about our industry.

We've uncovered a startling gap between what companies say about user-centricity and what they actually do. Prepare to have your perceptions challenged as we reveal the true state of UXR integration and its untapped potential in today's business landscape.

The startling statistics

Here's a striking finding: only 16% of organizations have fully embedded UXR into their processes and culture. This disconnect between intention and implementation underscores the challenges in demonstrating and maximizing the true value of user research.

What's inside the white paper

In this comprehensive white paper, we explore:

  • How companies use and value UX research
  • Why it's hard to show how UX research helps businesses
  • Why having UX champions in the company matters
  • New ways to measure and show the worth of UX research
  • How to share UX findings with different people in the company
  • New trends changing how people see and use UX research

Stats sneak peek

- Only 16% of organizations have fully embedded UX Research (UXR) into their processes and culture. This highlights a significant gap between the perceived importance of user-centricity and its actual implementation in businesses.

- 56% of organizations aren't measuring the impact of UXR at all. This lack of measurement makes it difficult for UX researchers to demonstrate the value of their work to stakeholders.

- 68% of respondents believe that AI will have the greatest impact on the analysis and synthesis phase of UX research projects. This suggests that while AI is expected to play a significant role in UXR, it's seen more as a tool to augment human skills rather than replace researchers entirely.

The UX research crossroads

As our field evolves with AI, automation, and democratized research, we face a critical juncture: how do we articulate and amplify the value of UXR in this rapidly changing landscape? We’d love to know what you think! So DM us in socials and let us know what you’re doing to bridge the gap.

Are you ready to unlock the full potential of UXR in your organization?

Download our white paper for invaluable insights and actionable strategies that will help you showcase and maximize the value of user research. In an era of digital transformation, understanding and leveraging UXR's true worth has never been more crucial.

Download the white paper

What's next?

Keep an eye out for our upcoming blog series, where we'll delve deeper into key findings and strategies from the report. Together, we'll navigate the evolving UX landscape and elevate the value of user insights in driving business success and exceptional user experiences.

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Different ways to test information architecture

We all know that building a robust information architecture (IA) can make or break your product. And getting it right can rely on robust user research. Especially when it comes to creating human-centered, intuitive products that deliver outstanding user experiences.

But what are the best methods to test your information architecture? To make sure that your focus is on building an information architecture that is truly based on what your users want, and need.

What is user research? 🗣️🧑🏻💻

With all the will in the world, your product (or website or mobile app) may work perfectly and be as intuitive as possible. But, if it is only built on information from your internal organizational perspective, it may not measure up in the eyes of your user. Often, organizations make major design decisions without fully considering their users. User research (UX) backs up decisions with data, helping to make sure that design decisions are strategic decisions. 

Testing your information architecture can also help establish the structure for a better product from the ground up. And ultimately, the performance of your product. User experience research focuses your design on understanding your user expectations, behaviors, needs, and motivations. It is an essential part of creating, building, and maintaining great products. 

Taking the time to understand your users through research can be incredibly rewarding with the insights and data-backed information that can alter your product for the better. But what are the key user research methods for your information architecture? Let’s take a look.

Research methods for information architecture ⚒️

There is more than one way to test your IA. And testing with one method is good, but with more than one is even better. And, of course, the more often you test, especially when there are major additions or changes, you can tweak and update your IA to improve and delight your user’s experience.

Card Sorting 🃏

Card sorting is a user research method that allows you to discover how users understand and categorize information. It’s particularly useful when you are starting the planning process of your information architecture or at any stage you notice issues or are making changes. Putting the power into your users’ hands and asking how they would intuitively sort the information. In a card sort, participants sort cards containing different items into labeled groups. You can use the results of a card sort to figure out how to group and label the information in a way that makes the most sense to your audience. 

There are a number of techniques and methods that can be applied to a card sort. Take a look here if you’d like to know more.

Card sorting has many applications. It’s as useful for figuring out how content should be grouped on a website or in an app as it is for figuring out how to arrange the items in a retail store.You can also run a card sort in person, using physical cards, or remotely with online tools such as OptimalSort.

Tree Testing 🌲

Taking a look at your information architecture from the other side can also be valuable. Tree testing is a usability method for evaluating the findability of topics on a product. Testing is done on a simplified text version of your site structure without the influence of navigation aids and visual design.

Tree testing tells you how easily people can find information on your product and exactly where people get lost. Your users rely on your information architecture – how you label and organize your content – to get things done.

Tree testing can answer questions like:

  • Do my labels make sense to people?
  • Is my content grouped logically to people?
  • Can people find the information they want easily and quickly? If not, what’s stopping them?

Treejack is our tree testing tool and is designed to make it easy to test your information architecture. Running a tree test isn’t actually that difficult, especially if you’re using the right tool. You’ll  learn how to set useful objectives, how to build your tree, write your tasks, recruit participants, and measure results.

Combining information architecture research methods 🏗

If you are wanting a fully rounded view of your information architecture, it can be useful to combine your research methods.

Tree testing and card sorting, along with usability testing, can give you insights into your users and audience. How do they think? How do they find their way through your product? And how do they want to see things labeled, organized, and sorted? 

If you want to get fully into the comparison of tree testing and card sorting, take a look at our article here, which compares the options and explains which is best and when. 

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Efficient Research: Maximizing the ROI of Understanding Your Customers

Introduction

User research is invaluable, but in fast-paced environments, researchers often struggle with tight deadlines, limited resources, and the need to prove their impact. In our recent UX Insider webinar, Weidan Li, Senior UX Researcher at Seek, shared insights on Efficient Research—an approach that optimizes Speed, Quality, and Impact to maximize the return on investment (ROI) of understanding customers.

At the heart of this approach is the Efficient Research Framework, which balances these three critical factors:

  • Speed – Conducting research quickly without sacrificing key insights.
  • Quality – Ensuring rigor and reliability in findings.
  • Impact – Making sure research leads to meaningful business and product changes.

Within this framework, Weidan outlined nine tactics that help UX researchers work more effectively. Let’s dive in.

1. Time Allocation: Invest in What Matters Most

Not all research requires the same level of depth. Efficient researchers prioritize their time by categorizing projects based on urgency and impact:

  • High-stakes decisions (e.g., launching a new product) require deep research.
  • Routine optimizations (e.g., tweaking UI elements) can rely on quick testing methods.
  • Low-impact changes may not need research at all.

By allocating time wisely, researchers can avoid spending weeks on minor issues while ensuring critical decisions are well-informed.

2. Assistance of AI: Let Technology Handle the Heavy Lifting

AI is transforming UX research, enabling faster and more scalable insights. Weidan suggests using AI to:

  • Automate data analysis – AI can quickly analyze survey responses, transcripts, and usability test results.
  • Generate research summaries – Tools like ChatGPT can help synthesize findings into digestible insights.
  • Speed up recruitment – AI-powered platforms can help find and screen participants efficiently.

While AI can’t replace human judgment, it can free up researchers to focus on higher-value tasks like interpreting results and influencing strategy.

3. Collaboration: Make Research a Team Sport

Research has a greater impact when it’s embedded into the product development process. Weidan emphasizes:

  • Co-creating research plans with designers, PMs, and engineers to align on priorities.
  • Involving stakeholders in synthesis sessions so insights don’t sit in a report.
  • Encouraging non-researchers to run lightweight studies, such as A/B tests or quick usability checks.

When research is shared and collaborative, it leads to faster adoption of insights and stronger decision-making.

4. Prioritization: Focus on the Right Questions

With limited resources, researchers must choose their battles wisely. Weidan recommends using a prioritization framework to assess:

  • Business impact – Will this research influence a high-stakes decision?
  • User impact – Does it address a major pain point?
  • Feasibility – Can we conduct this research quickly and effectively?

By filtering out low-priority projects, researchers can avoid research for research’s sake and focus on what truly drives change.

5. Depth of Understanding: Go Beyond Surface-Level Insights

Speed is important, but efficient research isn’t about cutting corners. Weidan stresses that even quick studies should provide a deep understanding of users by:

  • Asking why, not just what – Observing behavior is useful, but uncovering motivations is key.
  • Using triangulation – Combining methods (e.g., usability tests + surveys) to validate findings.
  • Revisiting past research – Leveraging existing insights instead of starting from scratch.

Balancing speed with depth ensures research is not just fast, but meaningful.

6. Anticipation: Stay Ahead of Research Needs

Proactive researchers don’t wait for stakeholders to request studies—they anticipate needs and set up research ahead of time. This means:

  • Building a research roadmap that aligns with upcoming product decisions.
  • Running continuous discovery research so teams have a backlog of insights to pull from.
  • Creating self-serve research repositories where teams can find relevant past studies.

By anticipating research needs, UX teams can reduce last-minute requests and deliver insights exactly when they’re needed.

7. Justification of Methodology: Explain Why Your Approach Works

Stakeholders may question research methods, especially when they seem time-consuming or expensive. Weidan highlights the importance of educating teams on why specific methods are used:

  • Clearly explain why qualitative research is needed when stakeholders push for just numbers.
  • Show real-world examples of how past research has led to business success.
  • Provide a trade-off analysis (e.g., “This method is faster but provides less depth”) to help teams make informed choices.

A well-justified approach ensures research is respected and acted upon.

8. Individual Engagement: Tailor Research Communication to Your Audience

Not all stakeholders consume research the same way. Weidan recommends adapting insights to fit different audiences:

  • Executives – Focus on high-level impact and key takeaways.
  • Product teams – Provide actionable recommendations tied to specific features.
  • Designers & Engineers – Share usability findings with video clips or screenshots.

By delivering insights in the right format, researchers increase the likelihood of stakeholder buy-in and action.

9. Business Actions: Ensure Research Leads to Real Change

The ultimate goal of research is not just understanding users—but driving business decisions. To ensure research leads to action:

  • Follow up on implementation – Track whether teams apply the insights.
  • Tie findings to key metrics – Show how research affects conversion rates, retention, or engagement.
  • Advocate for iterative research – Encourage teams to re-test and refine based on new data.

Research is most valuable when it translates into real business outcomes.

Final Thoughts: Research That Moves the Needle

Efficient research is not just about doing more, faster—it’s about balancing speed, quality, and impact to maximize its influence. Weidan’s nine tactics help UX researchers work smarter by:


✔️  Prioritizing high-impact work
✔️  Leveraging AI and collaboration
✔️  Communicating research in a way that drives action

By adopting these strategies, UX teams can ensure their research is not just insightful, but transformational.

Watch the full webinar here

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