April 2, 2024
6 min

Clara Kliman-Silver: AI & design: imagining the future of UX

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In the last few years, the influence of AI has steadily been expanding into various aspects of design. In early 2023, that expansion exploded. AI tools and features are now everywhere, and there are two ways designers commonly react to it:

  • With enthusiasm for how they can use it to make their jobs easier
  • With skepticism over how reliable it is, or even fear that it could replace their jobs

Google UX researcher Clara Kliman-Silver is at the forefront of researching and understanding the potential impact of AI on design into the future. This is a hot topic that’s on the radar of many designers as they grapple with what the new normal is, and how it will change things in the coming years.

Clara’s background 

Clara Kliman-Silver spends her time studying design teams and systems, UX tools and designer-developer collaboration. She’s a specialist in participatory design and uses generative methods to investigate workflows, understand designer-developer experiences, and imagine ways to create UIs. In this work, Clara looks at how technology can be leveraged to help people make things, and do it more efficiently than they currently are.

In today’s context, that puts generative AI and machine learning right in her line of sight. The way this technology has boomed in recent times has many people scrambling to catch up - to identify the biggest opportunities and to understand the risks that come with it. Clara is a leader in assessing the implications of AI. She analyzes both the technology itself and the way people feel about it to forecast what it will mean into the future.

Contact Details:

You can find Clara in LinkedIn or on Twitter @cklimansilver

What role should artificial intelligence play in UX design process? 🤔

Clara’s expertise in understanding the role of AI in design comes from significant research and analysis of how the technology is being used currently and how industry experts feel about it. AI is everywhere in today’s world, from home devices to tech platforms and specific tools for various industries. In many cases, AI automation is used for productivity, where it can speed up processes with subtle, easy to use applications.

As mentioned above, the transformational capabilities of AI are met with equal parts of enthusiasm and skepticism. The way people use AI, and how they feel about it is important, because users need to be comfortable implementing the technology in order for it to make a difference. The question of what value AI brings to the design process is ongoing. On one hand, AI can help increase efficiency for systems and processes. On the other hand, it can exacerbate problems if the user's intentions are misunderstood.

Access for all 🦾

There’s no doubt that AI tools enable novices to perform tasks that, in years gone by, required a high level of expertise. For example, film editing was previously a manual task, where people would literally cut rolls of film and splice them together on a reel. It was something only a trained editor could do. Now, anyone with a smartphone has access to iMovie or a similar app, and they can edit film in seconds.

For film experts, digital technology allows them to speed up tedious tasks and focus on more sophisticated aspects of their work. Clara hypothesizes that AI is particularly valuable when it automates mundane tasks. AI enables more individuals to leverage digital technologies without requiring specialist training. Thus, AI has shifted the landscape of what it means to be an “expert” in a field. Expertise is about more than being able to simply do something - it includes having the knowledge and experience to do it for an informed reason. 

Research and testing 🔬

Clara performs a lot of concept testing, which involves recognizing the perceived value of an approach or method. Concept testing helps in scenarios where a solution may not address a problem or where the real problem is difficult to identify. In a recent survey, Clara describes two predominant benefits designers experienced from AI:

  1. Efficiency. Not only does AI expedite the problem solving process, it can also help efficiently identify problems. 
  2. Innovation. Generative AI can innovate on its own, developing ideas that designers themselves may not have thought of.

The design partnership 🤝🏽

Overall, Clara says UX designers tend to see AI as a creative partner. However, most users don’t yet trust AI enough to give it complete agency over the work it’s used for. The level of trust designers have exists on a continuum, where it depends on the nature of the work and the context of what they’re aiming to accomplish. Other factors such as where the tech comes from, who curated it and who’s training the model also influences trust. For now, AI is largely seen as a valued tool, and there is cautious optimism and tentative acceptance for its application. 

Why it matters 💡

AI presents as potentially one of the biggest game-changers to how people work in our generation. Although AI has widespread applications across sectors and systems, there are still many questions about it. In the design world, systems like DALL-E allow people to create AI-generated imagery, and auto layout in various tools allows designers to iterate more quickly and efficiently.

Like many other industries, designers are wondering where AI might go in the future and what it might look like. The answer to these questions has very real implications for the future of design jobs and whether they will exist. In practice, Clara describes the current mood towards AI as existing on a continuum between adherence and innovation:

  • Adherence is about how AI helps designers follow best practice
  • Innovation is at the other end of the spectrum, and involves using AI to figure out what’s possible

The current environment is extremely subjective, and there’s no agreed best practice. This makes it difficult to recommend a certain approach to adopting AI and creating permanent systems around it. Both the technology and the sentiment around it will evolve through time, and it’s something designers, like all people, will need to maintain good awareness of.

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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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Unlocking UX excellence: Practical use cases for Optimal's UX research platform

In today's digital landscape, delivering exceptional user experiences is no longer optional – it's essential for success. At Optimal, we're committed to empowering UX professionals and organizations with the best-in-class tools and methodologies to create outstanding digital products and experiences. 

In this blog post, we'll explore practical use cases that demonstrate how Optimal's research platform can drive meaningful improvements across various UX scenarios.

Use case 1: Make Collaborative Design Decisions or A/B Test a Design

Refining an existing product? Launching a new website? Rebranding? Optimal's user research platform empowers your team to make informed, collaborative decisions. Here's how to leverage our tools for impactful results:

1. Qualitative Insights: Establish organizational priorities

  • Use Qualitative Insights to develop a comprehensive list of top tasks or goals from your organization's perspective.
  • Engage stakeholders across departments to ensure alignment on key objectives.

2. Surveys: Validate user priorities and pain points

  • Deploy a targeted survey to confirm users' top tasks and identify existing issues.
  • Gather quantitative data to support or challenge organizational assumptions about user needs.

3. First-click Testing: Conduct preference testing

  • Use First-Click Testing to evaluate the effectiveness of different design options.
  • This method provides valuable insights for A/B testing decisions, ensuring designs resonate with your target audience.

4. Qualitative Insights: Deep dive into user preferences

  • Conduct follow-up interviews or focus groups using our Qualitative Insights to gain a deeper understanding of user preferences and experiences with different design options.
  • Explore the 'why' behind user choices to inform more nuanced design decisions.

5. Prototype Testing: Validate interaction flows and usability


  • Use Prototype Testing to observe how users interact with early-stage designs.
  • Test navigation, UI components, and task flows to ensure your prototypes align with user expectations—before costly development begins.

6. Interviews: Capture rich, contextual feedback


  • Conduct live, moderated Interviews directly within Optimal to explore user reactions and behaviors.
  • Use screen recordings and notes to uncover deeper insights behind user choices and refine design decisions with confidence.

By embedding user insights at every stage, your team can confidently design experiences that don’t just look good but work for real people. Optimal empowers you to make faster, more informed decisions that drive meaningful outcomes across your organization.

Use case 2: Developing effective content strategies

Developing a robust content strategy is crucial for intranets, help documents, websites, and product copy. Optimal's user research and insights platform empowers you to create content that resonates with your audience and drives engagement. Here's how to leverage our tools for effective content strategy development:

1. Card Sorting: Organize content intuitively

  • Use Card Sorting to understand how users naturally categorize and group your content.
  • Gain insights into users' mental models to inform your content hierarchy and organization.
  • Apply findings to create a content structure that aligns with user expectations, enhancing findability and engagement.

2. Tree Testing: Validate information architecture

  • Employ Tree Testing to confirm whether information placed within your proposed hierarchy is findable and understandable.
  • Identify areas where users struggle to locate content, enabling you to refine your structure for optimal user experience.
  • Iterate on your information architecture based on concrete user data, ensuring your content is easily accessible.
  • Test different content structures and then compare them with each other using the task comparison tool available in Optimal to understand which structure is most likely to drive users to perform the targeted actions.

3. Qualitative Insights: Analyze language perceptions

  • Leverage Qualitative Insights to conduct in-depth interviews or focus groups.
  • Explore user perceptions of terminology, language style, and content tone.
  • Gather rich insights to inform your content voice and style guide, ensuring your messaging resonates with your target audience.

4. Additional Applications of Qualitative Insights

   Expand your content strategy research by using Qualitative Insights to:

  • Review internal tools and processes to streamline content creation workflows.
  • Compare content experiences across desktop and mobile devices for consistency.
  • Gather event feedback to inform content for future marketing materials.
  • Analyze customer service and support interactions to identify common issues and FAQs.
  • Conduct usability testing on existing content to identify areas for improvement.

   Key questions to explore:

  • What's working well in your current content?
  • What's not resonating with users?
  • What are users' first impressions of your content?
  • How do users typically interact with your content?
  • How well does your content foster empathy and connection with your audience?

By systematically applying these research methods, you'll develop a content strategy that not only meets your organizational goals but also deeply resonates with your audience. Remember, content strategy is an ongoing process. Regularly use Optimal's tools to assess the effectiveness of your content, gather user feedback, and iteratively improve your approach for continued success.

Use case 3: Increase website conversion

Empower your team to boost conversion rates by leveraging Optimal's best-in-class user research and insights platform. Here's how you can unlock meaningful improvements:

1. Qualitative Insights & Surveys: Uncover user motivations

  • Conduct in-depth interviews or targeted surveys to gather rich, qualitative feedback about user experiences, motivations, and pain points on your site.
  • Add an intercept snippet to your existing website to survey users as they come to your website to get a clear understanding of user motivations in context.
  • Analyze responses to identify key themes and opportunities for optimization.

2. Tree Testing: Optimize navigation structure

  • Use our Tree Testing tool to evaluate the effectiveness of your site's navigation structure.
  • Identify areas where users struggle to find information, enabling you to streamline pathways to conversion.

3. Card Sorting: Enhance information architecture

  • Leverage Card Sorting tool to understand how users naturally categorize your site's information.
  • Apply insights to refine the layout of product features or benefits on your landing pages, aligning with user expectations.

4. Prototype Testing: Validate Design Changes

  • Develop prototypes of new landing pages or key conversion elements (like CTAs) using our Prototype Testing tool.
  • Conduct first-click tests to ensure your design changes resonate with users and drive desired actions.

5. Follow-up Qualitative Insights: Iterate and improve

  • After implementing changes, conduct follow-up interviews or surveys to gauge the impact of your optimizations.
  • Gather feedback on the improved user experience and identify any remaining pain points.

By systematically applying these research methods, you'll gain the actionable insights needed to create a more intuitive, engaging, and conversion-friendly website. Optimal empowers you to make data-driven decisions that not only boost conversions but also enhance overall user satisfaction.

Embracing mixed methods research

To truly unlock the power of user research, we recommend a mixed methods approach. By combining quantitative data from surveys and usability tests with qualitative insights from interviews and open-ended responses, you can gain a comprehensive understanding of your users' needs and behaviors.

For more information on mixed methods research and how it can enhance your UX strategy, check out our detailed guide: What is mixed methods research?

And that’s a wrap

Optimal's user research and insights platform provides the tools and methodologies you need to deliver exceptional digital experiences. By leveraging these use cases and adopting a mixed methods approach, you can make data-driven decisions that resonate with your users and drive business success.

Remember, great UX is an ongoing journey. Regularly employ these research methods to stay attuned to your users' evolving needs and preferences. With Optimal as your partner, you're equipped to create digital products and experiences that truly stand out in today's competitive landscape.

Ready to elevate your UX research? Explore Optimal's platform and start unlocking actionable insights today!

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How to conduct a user interview

Few UX research techniques can surpass the user interview for the simple fact that you can gain a number of in-depth insights by speaking to just a handful of people. Yes, the prospect of sitting down in front of your customers can be a daunting one, but you’ll gain a level of insight and detail that really is tough to beat.

This research method is popular for a reason – it’s extremely flexible and can deliver deep, meaningful results in a relatively short amount of time.

We’ve put together this article for both user interview newbies and old hands alike. Our intention is to give you a guide that you can refer back to so you can make sure you're getting the most out of this technique. Of course, feel free to leave a comment if you think there’s something else we should add.

What is a user interview?

User interviews are a technique you can use to capture qualitative information from your customers and other people you’re interested in learning from. For example, you may want to interview a group of retirees before developing a new product aimed at their market.

User interviews usually follow the format of a guided conversation, diving deep into a particular topic. While sometimes you may have some predefined questions or topics to cover, the focus of your interviews can change depending on what you learn along the way.

Given the format, user interviews can help you answer any number of questions, such as:

  • How do people currently shop online? Are there any products they would never consider purchasing this way?
  • How do people feel about using meal delivery services? What stops them from trying them out?
  • How do ride sharing drivers figure out which app to use when they’re about to start a shift?

It’s important to remember that user interviews are all about people's perception of something, not usability. What this means in practical terms is that you shouldn’t go into a user interview expecting to find out how they navigate through a particular app, product or website. Those are answers you can gain through usability testing.

When should you interview your users?

Now that we have an understanding of what user interviews are and the types of questions this method can help you answer, when should you do them? As this method will give you insights into why people think the way they do, what they think is important and any suggestions they have, they’re mostly useful in the discovery stages of the design process when you're trying to understand the problem space.

You may want to run a series of user interviews at the start of a project in order to inform the design process. Interviews with users can help you to create detailed personas, generate feature ideas based on real user needs and set priorities. Looked at another way, doesn’t it seem like an unnecessary risk not to talk to your users before building something for them?

Plan your research

Before sitting down and writing your user interview, you need to figure out your research question. This is the primary reason for running your user interviews – your ‘north star’. It’s also a good idea to engage with your stakeholders when trying to figure this question out as they’ll be able to give you useful insights and feedback.

A strong research question will help you to create interview questions that are aligned and give you a clear goal. The key thing is to make sure that it’s a strong, concise goal that relates to specific user behaviors. You don’t want to start planning for your interview with a research question like “How do customers use our mobile app”. It’s far too broad to direct your interview planning.

Write your questions

Now it’s time to write your user interview questions. If you’ve taken the time to engage with stakeholders and you’ve created a solid research question, this step should be relatively straightforward.

Here are a few things to focus on when writing your interview questions:

  • Encourage your interviewees to tell stories: There’s a direct correlation between the questions you write for a user interview and the answers you get back. Consider more open-ended questions, with the aim of getting your interviewees to tell you stories and share more detail. For example, “Tell me about the last car you owned” is much better than “What was the last car you owned”.
  • Consider different types of questions: You don’t want to dive right into the complex, detailed questions when your interviewee has barely walked into the room. It’s much better to start an interview off with several ‘warm-up’ questions, that will get them in the right frame of mind. Think questions like: “What do you do for work?” and “How often do you use a computer at home?”. Answering these questions will put them in the right frame of mind for the rest of the interview.
  • Start with as many questions as you can think of – then trim: This can be quite a helpful exercise. When you’re actually putting pen to paper (or fingers to keyboard) and writing your questions, go broad at first. Then, once you’ve got a large selection to choose from, trim them back.
  • Have someone review your questions: Whether it’s another researcher on your team or perhaps someone who’s familiar with the audience you plan to interview, get another pair of eyes on your questions. Beyond just making sure they all make sense and are appropriate, they may be able to point out any questions you may have missed.

Recruit participants

Having a great set of questions is all well and good, but you need to interview the right kind of people. It’s not always easy. Finding representative or real users can quickly suck up a lot of time and bog down your other work. But this doesn’t have to be the case. With some strategy and planning you can make the process of participant recruitment quick and easy.

There are 2 main ways to go about recruitment. You can either handle the process yourself – we’ll share some tips for how to do this below – or use a recruitment service. Using a dedicated recruitment service will save you the hassle of actively searching for participants, which can often become a significant time-sink.

If you’re planning to recruit people yourself, here are a few ways to go about the process. You may find that using multiple methods is the best way to net the pool of participants you need.

  • Reach out to your customer support team: There’s a ready source of real users available in every organization: the customer support team. These are the people that speak to your organization’s customers every day, and have a direct line to their problems and pain points. Working with this team is a great way to access suitable participants, plus customers will value the fact that you’re taking the time to speak to them.
  • Recruit directly from your website: Support messaging apps like Intercom and intercept recruiting tools like Ethnio allow you to recruit participants directly from your website by serving up live intercepts. This is a fast, relatively hands-off way to recruit people quickly.
  • Ask your social media followers: LinkedIn, Twitter and Facebook can be great sources of research participants. There’s also the bonus that you can broadcast the fact that your organization focuses on research – and that’s always good publicity! If you don’t have a large following, you can also run paid ads on different social platforms.

Once a pool of participants start to flow in, consider setting up a dedicated research panel where you can log their details and willingness to take part in future research. It may take some admin at the start, but you’ll save time in the long run.

Note: Figure out a plan for participant data protection before you start collecting and storing their information. As the researcher, it’s up to you to take proper measures for privacy and confidentiality, from the moment you collect an email address until you delete it. Only store information in secure locations, and make sure you get consent before you ever turn on a microphone recorder or video camera.

Run your interviews

Now for the fun part – running your user interviews. In most cases, user interviews follow a simple format. You sit down next to your participant and run through your list of questions, veering into new territory if you sense an interesting discussion. At the end, you thank them for their time and pass along a small gift (such as a voucher) as a thank-you.

Of course, there are a few other things that you’ll want to keep in mind if you really want to conduct the best possible interviews.

  • Involve others: User interviews are a great way to show the value of research and give people within your organization a direct insight into how users think. There are no hard and fast rules around who you should bring to a user interview, just consider how useful the experience is likely to be for them. If you like, you can also assign them the role of notetaker.
  • Record the interview: You’ll have to get consent from the interviewee, but having a recording of the interview will make the process of analysis that much easier. In addition to being able to listen to the recording again, you can convert the entire session into a searchable text file.
  • Don’t be afraid to go off-script: Interviewing is a skill, meaning that the more interviews you conduct, the better you’re going to get. Over time, you’ll find that you’re able to naturally guide the conversation in different directions as you pick up on things the interviewee says. Don’t be discouraged if you find yourself sticking to your prepared questions during your first few interviews.
  • Be attentive: You don’t want to come across as a brick wall when interviewing someone – you want to be seen as an attentive listener. This means confirming that you’re listening by nodding, making eye contact and asking follow-up questions naturally (this last one may take practice). If you really struggle to ask follow-up questions, try writing a few generic questions can you can use at different points throughout the interview, for example “Could you tell me more about that?”. There’s a great guide on UXmatters about the role empathy has to play in understanding users.
  • Debrief afterwards: Whether it’s just you or you and a notetaker, take some time after the interview to go over how it went. This is a good opportunity to take down any details either you may have missed and to reflect and discuss some of the key takeaways.

Analyze your interview findings

At first glance, analyzing the qualitative data you’ve captured from a user interview can seem daunting. But, with the right approach (and some useful tools) you can extract each and every useful insight.

If you’ve recorded your interview sessions, you’ll need to convert your audio recordings into text files. We recommend a tool like Descript. This software makes it easy to take an audio file of your recording and transform it into a document, which is much faster than doing it without dedicated software. If you like, there’s also the option of various ‘white glove’ services where someone will transcribe the interview for you.

With your interview recordings transcribed and notes in-hand, you can start the process of thematic analysis. If you’re unfamiliar, thematic analysis is one of the most popular approaches for qualitative research as it helps you to find different patterns and themes in your data. There are 2 ways to approach this. The first is largely manual, where you set up a spreadsheet with different themes like ‘navigation issue’ and ‘design problem’, and group your findings into these areas. This can be done using sticky notes, which used to be a common ways to analyze findings.

The second involves dedicated qualitative research tool like Reframer. You log your notes over the course of several interview sessions and then use Reframer’s tagging functionality to assign tags to different insights. By applying tags to your observations, you can then use its analysis features to create wider themes. The real benefit here is that there’s no chance of losing your past interviews and analysis as everything is stored in one place. You can also easily download your findings into a spreadsheet to share them with your team.

What’s next?

With your interviews all wrapped up and your analysis underway, you’re likely wondering what’s next. There’s a good chance your interviews will have opened up new areas you’d like to test, so now could be the perfect time to assess other qualitative research methods and add more human data to your research project. On the other hand, you may want to move onto quantitative research and put some numbers behind your research.

Whether you choose to proceed down a qualitative or quantitative path, we’re pulled together some more useful articles and things for you to read:

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