How to convince others of the importance of UX research

If there’s one universal truth in user research, it’s that at some point you’re going to need to find people to actually take part in your studies. Be it a large number of participants for quantitative research or a select number for in-depth, in-person user interviews. Finding the right people (and number) of people can be a hurdle.

‍

With the right strategy, you can source exactly the right participants for your next research project.

‍

We share a practical step-by-step guide on how to find participants for user experience research.

‍

The difficulties/challenges of user research recruiting 🏋️

‍

It has to be acknowledged that there are challenges when recruiting research participants. You may recognize some of these:

‍

• There are so many channels and methods you can use to find participants, different channels will work better for different projects.
• Repeatedly using the same channels and methods will result in diminishing returns (i.e. burning out participants).
• It’s a lengthy and complex process, and some projects don’t have the luxury of time.
• Offering the right incentives and distributing them is time-consuming.
• It’s hard to manage participants during long-term or recurring studies, such as customer research projects.

‍

We’ll simplify the process, talk about who the right participants are, and unpack some of the best ways to find them. Removing these blocks can be the easiest way to move forward.

‍

Who are the right participants for different types of research? 🤔

‍

1. The first step to a successful participant recruitment strategy is clarifying the goals of your user research and which methods you intend to use. Ask yourself:

• What is the purpose of our research?
• How do we plan to understand that?

‍

2. Define who your ideal research participant is. Who is going to have the answers to your questions?

‍

3. Work out your research recruitment strategy. That starts by understanding the differences between recruiting for qualitative and quantitative research.

‍

Recruiting for qualitative vs. quantitative research 🙋🏻

‍

Quantitative research recruiting is a numbers game. For your data analysis to be meaningful and statistically significant, you need a lot of data. This means you need to do a lot of research with a lot of people. When recruiting for quantitative research, you first have to define the population (the entire group you want to study). From there, you choose a sampling method that allows you to create a sample—a randomly selected subset of the population who will participate in your study.

‍

Qualitative recruiting involves far fewer participants, but you do need to find a selection of ‘perfect’ participants. Those that fit neatly into your specific demographic, geographic, psychographic, and behavioral criteria relevant to your study. Recruiting quality participants for qualitative studies involves non-random sampling, screening, and plenty of communication.

‍

How many participants do you need? 👱🏻👩👩🏻👧🏽👧🏾

‍

How many participants to include in a qualitative research study is one of the most heavily discussed topics in user research circles. In most cases, you can get away with 5 people – that’s the short answer. With 5 people, you’ll uncover most of the main issues with the thing you’re testing. Depending on your research project there could be as many as 50 participants, but with each additional person, there is an additional cost (money and time).

‍

Quantitative research is obviously quite different. With studies like card sorts and tree tests, you need higher participant numbers to get statistically meaningful results. Anywhere from 20 - 500 participants, again coming back to the purpose of your test and your research budget. These are usually easier and quicker to implement therefore the additional cost is lower.

‍

User research recruitment - step by step 👟

‍

Let’s get into your research recruitment strategy to find the best participants for your research project. There are 5 clear steps to get you through to the research stage:

‍

1. Identify your ideal participants

‍

Who are they? What do they do? How old are they? Do they already use your product? Where do they live? These are all great questions to get you thinking about who exactly you need to answer your research questions. The demographic and geographic detail of your participants are important to the quality of your research results.

‍

2. Screen participants

‍

Screening participants will weed out those that may not be suitable for your specific project. This can be as simple as asking if the participants have used a product similar to yours. Or coming back to your key identified demographic requirements and removing anyone that doesn’t fit these criteria.

‍

3. Find prospective participants

‍

This is important and can be time-consuming. For qualitative research projects, you can look within your organization or ask over social media for willing participants. Or if you’re short on time look at a participant recruitment service, which takes your requirements and has a catalog of available persons to call on. There’s a cost involved, but the time saving can negate this. For qualitative surveys, a great option can be a live intercept on your website or app that interrupts users and asks them to complete a short questionnaire.

‍

4. Research incentives

‍

In some cases you will need to provide incentives. This could be offering a prize or discount for those who complete online qualitative surveys. Or a fixed sum for those that take part in longer format quantitative studies.

‍

5. Scheduling with participants

‍

Once you have waded through the emails, options, and communication from your inquiries make a list of appropriate participants. Schedule time to do the research, either in person or remotely. Be clear about expectations and how long it will take. And what the incentive to take part is.

‍

Tips to avoid participant burnout 📛

‍

You’ve got your participants sorted and have a great pool of people to call on. If you keep hitting the same group of people time and time again, you will experience the law of diminishing returns. Constantly returning to the same pool of participants will eventually lead to fatigue. And this will impact the quality of your research because it’s based on interviewing the same people with the same views.

‍

There are 2 ways to avoid this problem:

‍

1. Use a huge database of potential participant targets.
2. Use a mixture of different recruitment strategies and channels.

‍

Of course, it might be unavoidable to hit the same audience repeatedly when you’re testing your product development among your customer base.

‍

Wrap up 🌯

‍

Understanding your UX research recruitment strategy is crucial to recruiting quality participants. A clear idea of your purpose, who your ideal participants are, and how to find them takes time and experience. 

‍

And to make life easier you can always leave your participant recruitment with us. With a huge catalog of quality participants all at your fingertips on our app, we can recruit the right people quickly.

‍

Check out more here.

Ahead of her talk at UX New Zealand 2016, Lana Gibson from Lanalytics writes about a project she worked on with Te Papa.Te Papa (a museum in Wellington, New Zealand) created audience personas based on user research, and I used these as a basis to create audience segments in Google Analytics to give us further insight into different groups. By regularly engaging with our audience using both qualitative and quantitative user insight methods, we’re starting to build up a three-dimensional picture of their needs and how Te Papa can serve them.

‍

Personas based on user research

‍

At Te Papa the digital team created six audience personas to inform their site redesign, based on user research:

• enthusiast
• tourist
• social
• educator
• volunteer
• Wellingtonian

‍

These formed a good basis for understanding why people are using the site. For example the educator persona wants fodder for lesson plans for her class — trustworthy, subject-based resources that will excite her students. The tourist persona wants practical information — what’s on, how to plan a visit. And they want to get this information quickly and get on with their visit.We’ll follow the tourist persona through a couple more rounds of user research, to give an example of what you can find out by segmenting your audience.

‍

Interpreting tourist needs with data

‍

Te Papa holds information for the Tourist audience in the Visit and What’s on sections of the site. I created a segment in Google Analytics which filters the reports to show how people who visit pages within these two sections interact with the whole site. For example the keywords they search for in Google before arriving on Te Papa, what they search for when on the site, and how many of them email us.Deeper digging revealed that the Tourist audience makes up about half of our overall audience. Because the content is useful to everyone wanting to visit the museum, and not just tourists, we broadened the scope of this persona and called the segment ‘Museum visitor’.

‍

Why segment by site category — what if the audience goes beyond these pages?

‍

Google Analytics segments allow you to see all the pages that a particular audience visits, not just the ones you’ve filtered. For example over 2,000 people who visited a page within the Visit and What’s on sections also visited the Kids and families section in July 2016. So, the audience segment allows us to expand our concept of our audiences.You can segment by a lot of different behaviors. For example you could segment visitors by keyword, isolating people who come to the site from Google after searching for ‘parking’ and ‘opening hours’ and seeing what they do afterwards. But segmenting by site category tests the information architecture of your site, which can be very useful if you’ve got it wrong!

‍

Visit persona wants opening hours information

‍

What did we learn from these personas? One example is that the most searched term on the site for the Visit persona was ‘opening hours’. To help fix this, the team put the opening hours on every page of the redesigned site:

‍

‍

This resulted in a 90% drop in searches that include ‘hours’ (May 2016 compared with May 2015):

‍

‍

Developing personas with Matariki

‍

After the re-design the team ran a project to increase the reach and engagement of the Te Papa Matariki audience. You can read more about this in "Using data to help people celebrate Matariki". Te Papa holds Matariki events in the museum, such as the Kaumātua kapa haka, and this event in particular enhanced and challenged our ideas about this audience.

‍

Experiencing Kaumātua kapa haka performances online

‍

The Kaumātua kapa haka is the biggest Matariki event held at Te Papa, and this year we had 4,000 unique page views to the two Kaumātua kapa haka event pages. Traffic spiked over the event weekend, particularly from Facebook and mobile devices. We assumed the traffic was from people who were planning to come to the event, as they sit in the What’s on section. But further analysis indicates that people were visiting for the live streaming of the event — we included embedded Youtube videos on these pages.The popularity of the videos suggests that we’re taking events held within the museum walls out to people on the move, or in the comfort of their own homes. Based on this insight we’re looking into live streaming more events.

‍

We’ve taken Te Papa personas through three iterations, based on user research, analytics, then a practical application of these to the Matariki festival. Each user research method has limitations, but by regularly using qualitative and quantitative methods we’re engaging with a  three dimensional view of our audience that’s constantly evolving. Each user research piece builds that view, and allows us to plan projects and site changes with greater clarity about what our users need. It means we can plan projects that will have real and measurable impact, and allow people to engage with Te Papa in useful and meaningful ways.

‍

Want to hear more? Come to UX New Zealand!

‍

If you'd like to hear more about how Lana and Ruth redesigned the Te Papa website, plus a bunch of other cool UX-related talks, head along to UX New Zealand 2016 hosted by Optimal Workshop. The conference runs from 12-14 October, 2016, including a day of fantastic workshops, and you can get your tickets here. Got some questions you'd like to ask Lana before the conference? You can Tweet her on @lanalytics00!

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

‍