A beginner’s guide to qualitative and quantitative research

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In the rapidly evolving landscape of User Experience Research (UXR), one challenge stands out consistently: effectively communicating the value of UXR to stakeholders across the organization. As our recent whitepaper "The Value of UXR in 2024" reveals, the success of UXR initiatives often hinges not just on the quality of the research itself, but on how well its insights are integrated into decision-making processes. Let's explore how stakeholder integration can be the key to unlocking the full potential of UXR.

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Identifying key stakeholders and their needs 🕵️

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The first step in effective stakeholder integration is identifying who your key stakeholders are and understanding their specific needs and priorities. These stakeholders might include:

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1. Executive leadership: Interested in high-level insights that tie directly to business goals and ROI.
2. Product managers: Looking for actionable insights to inform product roadmaps and feature prioritization.
3. Designers: Seeking detailed user feedback to inform design decisions.
4. Developers: Needing clear, implementable recommendations.
5. Marketing teams: Interested in user perceptions and preferences to inform messaging and positioning.

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As one UX leader in our study noted,

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"Understanding the unique perspectives and priorities of each stakeholder group is crucial for effectively communicating the value of UXR."

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Techniques for effective stakeholder engagement 🦄

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Once you've identified your key stakeholders, the next step is to engage them effectively throughout the research process. Some proven techniques include:

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1. Early involvement: Include stakeholders in the research planning phase to ensure alignment with business objectives.
2. Observational opportunities: Invite stakeholders to observe user research sessions firsthand, fostering empathy and understanding.
3. Regular check-ins: Schedule frequent touchpoints to share interim findings and gather feedback.
4. Collaborative analysis: Involve stakeholders in data analysis sessions to leverage their expertise and build buy-in.

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Our survey revealed that organizations with high levels of stakeholder engagement throughout the research process reported significantly higher perceived value of UXR.

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Tailoring UXR communications for different audiences 📣

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One size does not fit all when it comes to communicating UXR insights. As one research manager in our study observed,

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"When we started tailoring our research reports to different stakeholder groups, we saw a dramatic increase in the adoption of our insights."

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To maximize impact, it's crucial to tailor your communications to different audiences:

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For executives 👩💼

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When communicating with executives, it's crucial to get straight to the point and demonstrate the business value of UXR:

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• Highlight key findings that directly impact business goals (e.g., user retention, conversion rates, market share)
• Use executive summaries that can be quickly scanned (no more than one page)
• Create clear, impactful data visualizations (e.g., dashboards, infographics) that show trends and comparisons
• Provide concrete examples of how UXR insights have led to measurable business improvements
• Include ROI calculations where possible, showing the financial impact of UXR-driven decisions
• Use benchmarks and industry comparisons to contextualize findings
• Anticipate and address potential business implications and strategic questions

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For example, instead of detailing usability issues, present a graph showing how addressing these issues could potentially increase customer satisfaction scores by X% and reduce churn by Y%.

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For product teams 📦

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Product teams need comprehensive insights that can directly inform their decision-making:

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• Present detailed user personas and scenarios to bring user needs to life
• Use user journey maps to illustrate pain points and opportunities across the entire user experience
• Provide specific, prioritized feature recommendations based on user needs and preferences
• Include case studies of similar products or features to provide context and inspiration
• Present quantitative data on feature usage and user preferences
• Offer clear next steps and actionable items for the product roadmap
• Use interactive prototypes or mockups to illustrate potential solutions

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For instance, create a user journey map that highlights key pain points in the current product, then overlay recommended features or improvements at each stage of the journey.

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For design teams 🎨🖌️

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Designers need rich, detailed feedback on the visual and interactive aspects of the product:

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• Provide specific user feedback on colors, layouts, interactions, and other design elements
• Use heat maps and click maps to show how users interact with designs
• Include video clips of usability testing sessions to show real user reactions and behaviors
• Highlight powerful user quotes that capture emotional responses to designs
• Present before-and-after comparisons to illustrate the impact of design changes
• Use annotation tools to pinpoint specific areas of designs that need attention
• Organize feedback by design principle (e.g., consistency, accessibility, simplicity) to align with design thinking

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For example, create a gallery of video clips showing users struggling with a particular interface element, paired with quotes expressing their frustration and suggestions for improvement.

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For development teams 👾 👾 👾

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Developers need concrete, implementable insights:

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• Provide a prioritized list of usability issues, bugs, or areas for improvement
• Use technical specifications and measurements where relevant (e.g., load times, error rates)
• Include device and browser information for reported issues
• Utilize developer-friendly formats like issue trackers or ticketing systems
• Provide clear acceptance criteria for recommended changes
• Include code snippets or pseudocode to illustrate potential solutions where appropriate
• Use flow diagrams to illustrate complex user interactions or system behaviors
• Highlight any technical constraints or considerations uncovered during research

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For instance, create a prioritized list of usability issues in a format that can be directly imported into the development team's project management tool, complete with severity ratings, reproduction steps, and suggested solutions.

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By tailoring your communication in these ways, you ensure that each stakeholder group receives the information they need in a format that resonates with their priorities and workflow. This targeted approach increases the likelihood that your UXR insights will be understood, valued, and acted upon across the organization.

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Building long-term stakeholder relationships 🏗️

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Building long-term stakeholder relationships is crucial for effective UXR integration, and it's an ongoing process rather than a one-time effort. Successful strategies include consistent follow-up to track the impact of research insights, celebrating wins and positive outcomes resulting from UXR, providing continuous education through workshops and training sessions, and maintaining open feedback channels for stakeholders to share their thoughts on the research process and outputs. 

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Our whitepaper findings highlight that organizations fostering strong, long-term relationships between UX researchers and other stakeholders typically demonstrate higher levels of research maturity and seamless integration of UXR into product development processes. This underscores the importance of nurturing these relationships to maximize the value and impact of UX research within the organization. 

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By investing in these long-term connections, UX researchers can ensure their insights continue to drive meaningful change and innovation across the company.

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Stakeholder integration: the cornerstone of impactful UXR

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Stakeholder integration is not just a nice-to-have in UXR—it's a critical factor in demonstrating and maximizing the value of user research. By identifying key stakeholders, engaging them effectively, tailoring communications, and building long-term relationships, UX researchers can ensure that their insights drive meaningful impact across the organization. As we look to the future of UXR, the ability to effectively integrate stakeholders will become even more crucial in our increasingly complex and fast-paced business environment.

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Ready to transform your UXR practice and unlock its full potential? 

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Optimal Workshop's comprehensive platform is designed to support effective stakeholder integration at every step of the research process. From collaborative planning tools to customizable reporting features, our suite of UXR solutions helps you engage stakeholders, tailor communications, and build lasting relationships that drive innovation. 

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Don't let valuable insights go unnoticed or unused—take the first step towards maximizing your UXR impact today. Start your free trial with Optimal Workshop and discover how easy it can be to bridge the gap between user insights and business decision-making, positioning your organization at the forefront of user-centered innovation.

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.

Qualitative user research is about exploration. Exploration is about the journey, not only the destination (or outcome). Gaining information and insights about your users through interviews, usability testing, contextual, observations and diary entries. Using these qualitative research methods to not only answer your direct queries, but to uncover and unravel your users ‘why’.

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It can be important to use qualitative research to really dig deep, get to know your users and get inside their heads, and their reasons. Creating intuitive and engaging products that deliver the best user experience. 

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What is qualitative research? 🔎

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The term ‘qualitative’ refers to things that cannot be measured numerically and qualitative user research is no exception. Qualitative research is primarily an exploratory research method that is typically done early in the design process and is useful for uncovering insights into people’s thoughts, opinions, and motivations. It allows us to gain a deeper understanding of problems and provides answers to questions we didn’t know we needed to ask. 

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Qualitative research could be considered the ‘why’. Where quantitative user research uncovers the how or the what users want. Qualitative user research will uncover why they make decisions (and possibly much more).

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Priorities ⚡⚡⚡⚡

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When undertaking user research it is great to do a mix of quantitative and qualitative research. Which will round out the numbers with human driven insights.

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Quantitative user research methods, such as card sorting or tree testing, will answer the ‘what’ your users want, and provide data to support this. These insights are number driven and are based on testing direct interaction with your product. This is super valuable to report to stakeholders. Hard data is difficult to argue what changes need to be made to how your information architecture (IA) is ordered, sorted or designed. To find out more about the quantitative research options, take a read.

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Qualitative user research, on the other hand, may uncover a deeper understanding of ‘why’ your users want the IA ordered, sorted or designed a certain way.  The devil is in the detail afterall and great user insights are discoverable. 

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Priorities for your qualitative research needs to be less about the numbers, and more on discovering your users ‘why’. Observing, listening, questioning and looking at reasons for users decisions will provide valuable insights for product design and ultimately improve user experience.

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Usability Testing - this research method is used to evaluate how easy and intuitive a product is to use.  Observing, noting and watching the participant complete tasks without interference or questions can uncover a lot of insights that data alone can’t give. This method can be done in a couple of ways, moderated or unmoderated. While it can be quicker to do unmoderated and easier to arrange, the deep insights will come out of moderated testing. 

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Observational - with this qualitative research method your insights will be uncovered from observing and noting what the participant is doing, paying particular attention to their non-verbal communication. Where do they demonstrate frustration, or turn away from the task, or change their approach? Factual note taking, meaning there shouldn’t be any opinions attached to what is being observed, is important to keep the insights unbiased.

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Contextual - paying attention to the context in which the interview or testing is done is important. Is it hot, loud, cold or is the screen of their laptop covered in post-its that make it difficult to see? Or do they struggle with navigating using the laptop tracker? All of this noted, in a factual manner, without personal inferring or added opinion based observations can give a window into why the participant struggled or was frustrated at any point.

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These research methods can be done as purely observational research (you don’t interview or converse with your participant) and noting how they interact (more interested in the process than the outcome of their product interaction). Or, these qualitative research methods can be coupled with an

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Interview - a series of questions asked around a particular task or product. Careful note taking around what the participant says as well as noting any observations. This method should allow a conversation to flow. Whilst the interviewer should be prepared with a list of questions around their topic, remain flexible enough to dig deeper where there might be details or insights of interest. An interviewer that is comfortable in getting to know their participants unpicks reservations and allows a flow of conversation, and generates amazing insights.

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With an interview it can be of use to have a second person in the room to act as the note taker. This can free up the interviewer to engage with the participant and unpick the insights.

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Using a great note taking side kick, like our Reframer, can take the pain out of recording all these juicy and deep insights. Time-stamping, audio or video recordings and notes all stored in one place. Easily accessed by the team, reviewed, reports generated and stored for later.

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Let’s consider 🤔

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You’re creating a new app to support your gym and it’s website. You’re looking to generate personal training bookings, allow members to book classes or have updates and personalise communication for your members. But before investing in final development it needs to be tested. How do your users interact with it? Why would they want to? Does it behave in a way that improves the user experience? Or does it simply not deliver? But why?

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First off, using quantitative research like Chalkmark would show how the interface is working. Where are users clicking, where do they go after that. Is it simple to use? You now have direct data that supports your questions, or possibly suggests a change of design to support quicker task completion, or further engagement.

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While all of this is great data for the design, does it dig deep enough to really get an understanding of why your users are frustrated? Do they find what they need quickly? Or get completely lost? Finding out these insights and improving on them can make the most of your users’ experience.

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When quantitative research is coupled with robust qualitative research that prioritizes an in-depth understanding of what your users need, ultimately the app can make the most of your users’ experience.

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Using moderated usability testing for your gym app, observations can be made about how the participant interacts with the interface. Where do they struggle, get lost, or where do they complete a task quickly and simply. This type of research enhances the quantitative data and gives insight into where and why the app is or isn't performing.

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Then interviewing participants about why they make decisions on the app, how they use it and why they would use it. These focussed questions, with some free flow conversation will round out your research. Giving valuable insights that can be reviewed, analyzed and reported to the product team and key stakeholders. Focussing the outcome, and designing a product that delivers on not just what users need, but in-depth understand of why. 

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Wrap Up 🥙

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Quantitative and qualitative user research do work hand in hand, each offering a side to the same coin. Hard number driven data with quantitative user research will deliver the what needs to be addressed. With focussed quantitative research it is possible to really get a handle on why your users interact with your product in a certain way, and how. 

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The Optimal Workshop platform has all the tools, research methods and even the note taking tools you need to get started with your user research, now, not next week! See you soon.