What do you prioritize when doing qualitative research?

In the field of user research, every method is either qualitative, quantitative – or both. Understandably, there’s some confusion around these 2 approaches and where the different methods are applicable.This article provides a handy breakdown of the different terms and where and why you’d want to use qualitative or quantitative research methods.

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Qualitative research

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Let’s start with qualitative research, an approach that’s all about the ‘why’. It’s exploratory and not about numbers, instead focusing on reasons, motivations, behaviors and opinions – it’s best at helping you gain insight and delve deep into a particular problem. This type of data typically comes from conversations, interviews and responses to open questions.The real value of qualitative research is in its ability to give you a human perspective on a research question. Unlike quantitative research, this approach will help you understand some of the more intangible factors – things like behaviors, habits and past experiences – whose effects may not always be readily apparent when you’re conducting quantitative research.A qualitative research question could be investigating why people switch between different banks, for example.

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When to use qualitative research

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Qualitative research is best suited to identifying how people think about problems, how they interact with products and services, and what encourages them to behave a certain way. For example, you could run a study to better understand how people feel about a product they use, or why people have trouble filling out your sign up form. Qualitative research can be very exploratory (e.g., user interviews) as well as more closely tied to evaluating designs (e.g., usability testing).Good qualitative research questions to ask include:

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• Why do customers never add items to their wishlist on our website?
• How do new customers find out about our services?
• What are the main reasons people don’t sign up for our newsletter?

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How to gather qualitative data

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There’s no shortage of methods to gather qualitative data, which commonly takes the form of interview transcripts, notes and audio and video recordings.Here are some of the most widely-used qualitative research methods:

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• Usability test – Test a product with people by observing them as they attempt to complete various tasks.
• User interview – Sit down with a user to learn more about their background, motivations and pain points.
• Contextual inquiry – Learn more about your users in their own environment by asking them questions before moving onto an observation activity.
• Focus group – Gather 6 to 10 people for a forum-like session to get feedback on a product.

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How many participants will you need?

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You don’t often need large numbers of participants for qualitative research, with the average range usually somewhere between 5 to 10 people. You’ll likely require more if you're focusing your work on specific personas, for example, in which case you may need to study 5-10 people for each persona.While this may seem quite low, consider the research methods you’ll be using. Carrying out large numbers of in-person research sessions requires a significant time investment in terms of planning, actually hosting the sessions and analyzing your findings.

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Quantitative research

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On the other side of the coin you’ve got quantitative research. This type of research is focused on numbers and measurement, gathering data and being able to transform this information into statistics.Given that quantitative research is all about generating data that can be expressed in numbers, there multiple ways you make use of it. Statistical analysis means you can pull useful facts from your quantitative data, for example trends, demographic information and differences between groups. It’s an excellent way to understand a snapshot of your users.A quantitative research question could involve investigating the number of people that upgrade from a free plan to a paid plan.

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When to use quantitative research

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Quantitative research is ideal for understanding behaviors and usage. In many cases it's a lot less resource-heavy than qualitative research because you don't need to pay incentives or spend time scheduling sessions etc). With that in mind, you might do some quantitative research early on to better understand the problem space, for example by running a survey on your users.Here are some examples of good quantitative research questions to ask:

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• How many customers view our pricing page before making a purchase decision?
• How many customers search versus navigate to find products on our website?
• How often do visitors on our website change their password?

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How to gather quantitative data

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Commonly, quantitative data takes the form of numbers and statistics.

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Here are some of the most popular quantitative research methods:

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• Card sorts – Find out how people categorize and sort information on your website.
• First-click tests – See where people click first when tasked with completing an action.
• A/B tests – Compare 2 versions of a design in order to work out which is more effective.
• Clickstream analysis – Analyze aggregate data about website visits.

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How many participants will you need?

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While you only need a small number of participants for qualitative research, you need significantly more for quantitative research. Quantitative research is all about quantity. With more participants, you can generate more useful and reliable data you can analyze. In turn, you’ll have a clearer understanding of your research problem.This means that quantitative research can often involve gathering data from thousands of participants through an A/B test, or with 30 through a card sort. Read more about the right number of participants to gather for your research.

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Mixed methods research

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While there are certainly times when you’d only want to focus on qualitative or quantitative data to get answers, there’s significant value in utilizing both methods on the same research projects.Interestingly, there are a number of research methods that will generate both quantitative and qualitative data. Take surveys as an example. A survey could include questions that require written answers from participants as well as questions that require participants to select from multiple choices.

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Looking back at the earlier example of how people move from a free plan to a paid plan, applying both research approaches to the question will yield a more robust or holistic answer. You’ll know why people upgrade to the paid plan in addition to how many. You can read more about mixed methods research in this article:

• What is mixed methods research?

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Where to from here?

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With an understanding of qualitative and quantitative user research, the next best step would be to start learning more about the various methods that fall under each of these research approaches and how to actually conduct research effectively.

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Here are some of the best articles to read next:

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• How to write great questions for your research – Great research starts with the right questions. Learn how to write effective questions before you start your next project.
• Which comes first: card sorting or tree testing? – Card sorting and tree testing are complementary methods, but which one should you use first?
• How to encourage people to participate in your study – Seemingly one of the hardest parts of conducting research is finding willing participants. It’s actually not that difficult.

Lately, I’ve found myself sitting in the participant’s chair at the UX research table more and more and it’s been an eye-opening collection of experiences. As UX researchers, we’re definitely not our users, but we are someone else’s. We use products, services and tools too! I’ve recently discovered that participating in user research not only helps out a fellow UXer with their qualitative research, but has also helped me grow my skills.

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Here are 3 reasons why you should try being a participant for yourself.

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1. Build empathy for the participant experience 🫶

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Having facilitated hundreds of UX research sessions over the years, I didn’t think I would be as nervous as I was going in as a participant! When we design our research sessions we don’t often give our participants a heads up on what we’re going to talk about because we don’t want to influence them for one, but truly not knowing what to expect made me feel slightly jittery. Before and at the beginning of these experiences, I felt quite unprepared. I wasn’t expecting to feel that way.

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During these sessions I often found myself wondering things like: Were my answers detailed enough? Will my responses be kept confidential? (I could never seem to remember if that had been covered in the introduction!). I worried that I wasn’t giving helpful responses or if I was talking too much. When misunderstandings arose in the conversation, I felt responsible and I was kicking myself for not communicating clearly enough!

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As a participant, I completely lost track of time during the session and developed an entirely new appreciation for timekeeping as a facilitator! I could have talked well beyond the scope of the interview timeframe and needed to be kept on track.

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I also very quickly discovered that thinking aloud is a lot harder to do than it sounds. It’s not a simple matter of verbalizing your thoughts as they happen. You have to think them, process them, decide how to verbalize them and then talk – all while someone (often a complete stranger) is looking at you expectantly and eagerly. It’s awkward and it feels weird. And look, it is widely acknowledged that it’s challenging and unnatural, but I didn’t fully appreciate or understand that until I was required to do it myself in a research environment.

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Did I experience some of these thoughts and feelings because I’m a UX researcher and I know what the other side looks and feels like? Maybe. It’s certainly possible and I’d be remiss if I didn’t call out this potential bias, but I do feel that having done this I now have a greater capacity to empathize with the participant experience. I’ve now been on the receiving end of the introductory spiel (and tuned out during it!), I’ve now got first-hand experience with the on-the-spot answering of those questions we carefully craft and I’ve scrambled for words when I’ve been asked to explain why I said what I said.

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These experiences have taught me that there’s a good chance the participant is just as nervous as I am and that a little reassurance or confirmation of usefulness goes a very long way. I’ve learned that regardless of the skill or experience of the researcher, interview questions can be super confusing and hard to answer. Having questions rephrased and being told that what I shared was helpful made me feel significantly more comfortable and able to think clearly and open up more - therefore providing more value to the researcher.

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I’ve also been itching to find out what happened next after the sessions ended. Was I helpful and in what way? Where did the insight I provided lead? I’ve learned that while we walk away with more questions, so might our participants and what can we do about that? We’re so busy, but stopping for a moment further down the track if/where possible to reach out and say ‘Hey, I just thought you might like to see what we did with all that great information you shared with us’ might be nice. It’s not always practical or possible and sometimes we have to wait until the thing goes live, but it’s food for thought.

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2. Learn from other researcher’s styles 📚

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Every UX researcher is different and we all have our own approaches and styles. As a notetaker for other researchers, I’ve always enjoyed having the opportunity to observe them in action, but somehow experiencing it as a participant felt different in the best possible way. It felt more immersive. Perhaps it was because I didn’t have to think about anything else or observe the participant’s reactions and was able to absorb every second of that experience as it was happening to me rather than in front of me.

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I participated in a usability testing session with two researchers - one facilitating and one taking notes - and the notetaker was so unobtrusive and quiet that I completely forgot they were there! They said a quick hello at the beginning of the session and then sat back behind me and blended in with the furniture and didn’t make a sound until they piped up with a question at the very end. Note taking is such a grossly underrated UX research skill. There’s a lot to think about, a lot to avoid thinking about (e.g., jumping into solution right there in the session) and of course we have to be mindful of the potential impact of our behavior on the participant, but this went beyond stifling disappointment or resisting the urge to speak. This was a dignified and seamlessly elegant note taker existence unlike anything I have ever seen.

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In other sessions as a user interview participant I was delighted when researchers injected multiple moments of humor into those previously mentioned introductory spiel snooze fests. It did more than just make me feel comfortable - humor helped me focus better on what was being said and remember important details during and well after the session had ended.

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I also learned a thing or two about comfortable silences when I participated in a contextual session with two researchers. One researcher kept prodding and repeatedly asking questions while the other exuded a quiet and calm demeanor and simply patiently waited for me to complete my task and talk about it in my own time (and way). It won’t work in all situations or with all participants, but it made me feel relaxed and comfortable enough to talk through what I was thinking and seeing. This approach also made thinking aloud easier for me.

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It’s important to remember that it doesn’t matter if you’re an experienced UX researcher or if you’re just starting out, everyone can learn something new from another researcher and stepping up into a session as an actual participant is a great way to do that.

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3. Give back and grow our industry 🌱

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One of my favourite things about the UX industry has always been its sense of community. We’re a group of people who care. We care about our users, we care about each other and we care about our capability as an industry and where we’re headed. Agreeing to be a participant in another researcher’s study is a great way to give back.

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As I mentioned earlier, we use products and services too and in addition to this, there’s a whole heap of them out there designed just for us! It makes sense that in the same way that we as researchers ask our own customers and users to help us design better products, we should be open to doing the same for the people who design for us.

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The cool thing about being a participant who is also a researcher is that we pick up issues other people might not. We might be a little tougher and less likely to let a usability issue slide. We might be the person that provides the external and fresh-eyed validation a researcher needs to convince a stakeholder that a design needs to be changed or worked on some more. A researcher in the participant’s chair is a powerful hybrid - it’s a participant and expert reviewer in one.

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As a general rule of thumb, if you’re invited to participate in another researcher’s study, I do think it’s best to always be upfront with them about who you are and what you do so that they can determine if you are potentially too biased to be included. It’s their study and informed consent matters. Think about what you would want as a researcher. And if they’re specifically asking you to participate because you’re a researcher - that’s awesome!

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So those are just some of the reasons why you should take a spin in the participant’s chair. Professional development is a lifelong learning process for us all. I’m looking forward to implementing what I’ve learned from these experiences and continuing to plonk myself in that participant chair to keep growing my perspective and helping out other researchers along the way.

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Happy researching (and participating)!

As product managers, we all know the struggle of truly understanding our users. It's the cornerstone of everything we do, yet the path to those valuable insights can often feel like navigating a maze. The endless back-and-forth emails, the constant asking for favors from other teams, and the sheer time spent trying to find the right people to talk to, sound familiar? For years, this was our reality. But there’s a better way, Optimal's participant recruitment is a game-changer, transforming your approach to user research and freeing you to focus on what truly matters: understanding our users.

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The Challenge We All Faced

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User research processes often hit a significant bottleneck: finding participants. Like many, you may rely heavily on sales and support teams to connect you with users. While they were always incredibly helpful, this approach has its limitations. It creates internal dependencies, slows down timelines, and often means you are limited to a specific segment of our user base. You frequently find ourselves asking, "Does anyone know someone who fits this profile?" which inevitably leads to delays and sometimes, missed crucial feedback opportunities.

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A Game-Changing Solution: Optimal's Participant Recruitment

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Enter Optimal's participant recruitment. This service fundamentally shifts how you approach user research, offering a hugely increased level of efficiency and insight. Here’s how it can level up your research process:

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• Diverse Participant Pool: Gone are the days of repeatedly reaching out to the same familiar faces. Optimal Workshop provides access to a global pool of participants who genuinely represent our target audience. The fresh perspectives and varied experiences gained can be truly eye-opening, uncovering insights you might have otherwise missed.
• Time-Saving Independence: The constant "Does anyone know someone who...?" emails are a thing of the past. You now have the autonomy to independently recruit participants for a wide range of research activities, from quick prototype tests to more in-depth user interviews and usability studies. This newfound independence dramatically accelerates your research timeline, allowing you to gather feedback much faster.
• Faster Learning Cycles: When a critical question arises, or you need to quickly validate a new concept, you can now launch research and recruit participants almost immediately. This quick turnaround means you’re making informed decisions based on real user feedback at a much faster pace than ever before. This agility is invaluable in today's fast-paced product development environment.
• Reduced Bias: By accessing external participants who have no prior relationship with your company, you're receiving more honest and unfiltered feedback. This unbiased perspective is crucial for making confident, user-driven decisions and avoiding the pitfalls of internal assumptions.

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Beyond Just Recruitment: A Seamless Research Ecosystem

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The participant recruitment service integrates with the Optimal platform. Whether you're conducting tree testing to evaluate information architecture, running card sorting exercises to understand user mental models, or performing first-click tests to assess navigation, everything is available within one intuitive platform. It really can become your one-stop shop for all things user research.

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Building a Research-First Culture

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Perhaps the most unexpected and significant benefit of streamlined participant recruitment comes from the positive shift in your team's culture. With research becoming so accessible and efficient, you're naturally more inclined to validate our assumptions and explore user needs before making key product decisions. Every product decision is now more deeply grounded in real user insights, fostering a truly user-centric approach throughout your development process.

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The Bottom Line

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If you're still wrestling with the time-consuming and often frustrating process of participant recruitment for your user research, why not give Optimal Workshop a try. It can transform what is a significant bottleneck in your workflow into a streamlined and efficient process that empowers you to build truly user-centric products. It's not just about saving time; it's about gaining deeper, more diverse insights that ultimately lead to better products and happier users. Give it a shot, you might be surprised at the difference it makes.

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