Qualitative insights: Reimagined and supercharged 🚀

The only tool you need to power your entire qualitative research workflow is here. We’re excited to announce the new and improved Reframer is now live for all customers!

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What is qualitative research?

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It’s an integral part of any research journey. Think: customer or stakeholder interviews, prototype testing, A/B testing, moderated interviews, and open-ended questions. In a nutshell, it’s anything that isn’t a closed question.

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It’s also the most popular research method – 85% of people who do research conduct interviews and usability tests as part of their projects or workflows.

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How can Reframer help me with my qualitative research?

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It’s no secret that anyone conducting research is time-poor. Qualitative research is especially time-consuming and messy, as it’s almost always conducted across multiple tools or mediums. 

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Reframer gives you your time back, and enables you to manage your entire qualitative research workflow within one single tool. 

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From setting up and conducting interviews, through to analyzing your data – you can uncover those juicy insights in days, not weeks (or months) without ever having to leave the Optimal Workshop app.

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Powerful, in depth tagging and analysis tools

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Analyzing and making sense of your interview or usability testing data with Reframer is easy and flexible (not to mention very aesthetically pleasing!)  

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Visualize and group observations with the affinity map

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Affinity mapping is a flexible and visual way to quickly group, organize and make sense of qualitative data (i.e. post-its and whiteboards). 

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With Reframer, affinity mapping is more powerful than ever. Your observations, tags and themes are all connected and stored in one place. It’s easy to search and filter your data, group like observations by proximity, then review and sort them in table format. 

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Discover patterns with the theme builder

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The Themes tab offers tag-based analysis with powerful filters. It enables you to explore the relationships between your observations and then create themes based on these relationships. This gives you more quantifiable results to support the qualitative, observation-based analysis that you’ve done in the affinity map. 

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Explore connections between tags with the chord diagram

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The chord diagram is a beautifully visual way to easily explore the relationships between your tagged observations and spot key themes. 

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If you’ve got a lot of tags, it may look a little overwhelming to start with. But don’t let that fool you – it’s easy to get the hang of, and once you do, you’ll wonder how you ever analyzed data without it!

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Real-time collaboration with your team

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We recommend that you conduct qualitative research as a team, whenever you can. Reframer makes this easy – it was built with collaboration in mind. 

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Invite study members

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On an Optimal Workshop team plan, you can work together from start to finish. Team members can take notes and create or use tags during interview sessions. In the affinity map, you can work collaboratively to group and edit observations in real-time. 

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Invite guest notetakers

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If you just need an extra helping hand with taking notes during your interviews or usability tests, you can invite guest notetakers to your sessions. Guest notetakers can take notes in the sessions you invite them to, but can’t see notes taken by others or analyze data.

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The guest notetakers feature is a great way to involve your wider team or stakeholders in your user research activities.

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Share your findings

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Need the raw data from your interviews? Want to share your affinity map visuals with other team members? Both are easily downloadable with the click of a button!

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An intuitive, end-to-end workflow

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When it comes to conducting qualitative research, Reframer is faster, easier and tidier than using other digital (or manual) tools. It houses all your data and insights in one place and supports the collaborative nature of qualitative research. 

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It’s not just for seasoned researchers either. We’ve put special focus on ensuring that the analysis is easy to learn for anyone doing qualitative research, regardless of skill level. And our in-app guidance will have you up to speed in no time.

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So what are you waiting for? Login now and get started on your Reframer journey!

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:

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• 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

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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.

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Clara’s background 

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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.

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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.

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Contact Details:

You can find Clara in LinkedIn or on Twitter @cklimansilver

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

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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.

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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.

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Access for all 🦾

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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.

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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. 

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Research and testing 🔬

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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:

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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.

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The design partnership 🤝🏽

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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. 

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Why it matters 💡

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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.

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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:

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• 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

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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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Recruiting high quality participants can be a hassle and time-consuming. That’s why we’ve relaunched Optimal Recruitment with expanded profiling capabilities, enhanced quality controls, and full-service support—to let you focus on what matters most: powerful insights to drive better business outcomes.

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What does Optimal Recruitment offer?

With Optimal Recruitment, our in-house team makes it easy to connect with participants. We take care of all the details—from feasibility checks, recruitment, reminders, confirmations, and admin.

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Thanks to our four award-winning panel providers, we can tailor recruitment to every recruitment need, giving you access to a vast pool of high-quality participants from across 150+ countries.

• User Interviews: Rated the #1 top-rated panel software on G2, fully dedicated to quality user research
• PureSpectrum: Recognized as the Market Research Supplier of the Year
• Respondent: Ensures a consistent 95% participants show-up rate
• Cint: Winner of the Data Quality Award, 2024

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And this is just the beginning—our network will continue to grow, offering even greater targeting capabilities and expanded reach in the future.

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How does it work?

All you need to do is provide your participant criteria and our team will handle the rest! We’ll select the best panel for your needs and ensure everything in your study is set up perfectly so you can sit back and watch the results flow in. 
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Ready to dive in?

To get started, head over to the Recruit tab under an Optimal study.

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Need more info? Find out more about getting started or reach out to Support or your account team for more details.