Optimal Interviews: What We Learned About Modern Interview Workflows & Building a Research Repository

Since launching Optimal Interviews in December, we've been tracking closely as research, product, and design teams put it to the test. The tool is driving a real transformation in workflows, and we’re energized by the feedback so far.

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• “What took me manually 3 weeks to analyze 4 years ago, with the AI functionality, now took me less than 5 minutes. It’s crazy!”
• “This changes everything for how we work with interview data.”
• “The insights were spot on, and I was impressed by how well the tool understood the themes in the interview.”
• "I tried it for the first time this week. I was impressed by the amount of insights." 

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Optimal Interviews was built to remove the friction from one of research's most time-intensive steps: analyzing interview recordings. With automated transcription, AI-generated insights, highlight reels, summaries, and citations, the tool transforms hours of manual review into something that happens in minutes.

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But we’re not done yet. We’re constantly building and evolving based on your feedback. With the latest releases like automatic recording, every session can now be captured and stored automatically, helping teams build a centralized user research repository and supporting continuous research.

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Here’s a look at how teams are using Optimal Interviews, the latest work in this space, and where we’re headed.
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How Teams Are Using Optimal Interviews

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Researchers across industries are leveraging Optimal Interviews in a variety of ways. Here are just a few examples from current users:

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• Understanding customer interactions with voice assistants and AI to inform user experience and product development.
  
  
• Studying habits, purchasing patterns, and customer frustrations to optimize experiences and conversions.
  
  
• Evaluating how users navigate and interact with customer-facing websites to improve user experience.
  
  
• Gathering feedback from employees about internal tools and systems to improve workplace efficiency and satisfaction.

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Recent Enhancements: New Features for More Automation

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It’s been a busy few months, and we’ve shipped several meaningful updates over the past few months. Here’s what’s new:
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1. Multilanguage Support for Global Research

Optimal Interviews now supports 13 languages, automatically detecting and transcribing interviews in their original languages. AI Chat is also ready to assist your team in these languages, ensuring a seamless experience no matter what language your team is using.
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2. Video Conferencing Integrations

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‍Sync Optimal Interviews with your Google Meet, Zoom, or Microsoft Teams account to automatically generate and attach meeting links to sessions scheduled with the Optimal scheduler.
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3. Automatic Recording

You can choose to automatically record and upload sessions scheduled through Optimal, eliminating the need for manual uploads. Sessions can now be captured and stored automatically, enabling teams to conduct continuous research. Accumulate insights over time in a central repository, where they remain always accessible and ready to be explored further with AI Chat.
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4. Custom Topics

Custom topics allow you to define specific areas of interest for AI to focus on for interview insights. As more recordings are added, the tool will automatically generate insights based on these topics, so you can easily filter and focus on the data that matters most to you.

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What’s Next for Optimal Interviews

Our ultimate goal? To keep finding ways to reduce manual effort. Let Optimal streamline your research workflow, automate time-consuming tasks, and help you build out your qualitative research repository.

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We have a number of significant additions in development, including:
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Calendar Integrations

Sync you and your team’s calendars (Google and Microsoft) with Optimal Interviews so you can easily schedule and sync you and your team’s interview availability. Avoid double booking and get scheduled sessions automatically added to your calendar.

Enhanced Privacy & Messaging System

Interviewers and participants will be able to message each other directly through Optimal. This helps protect personal contact details e.g. email addresses and reduces unintended bias, such as revealing the study creator’s organization. Teams can coordinate, add clarifications, and follow up more efficiently without exposing personal information.
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We'd Love to Hear From You

How are you using Optimal Interviews in your research? What's working well, and what would you like to see us build next?
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And if you're just getting started, our Interviews 101 guide is a great place to begin.

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Want to learn more about how to harness the full potential of Optimal Interviews and AI Chat? Register for this live training.
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Optimal Interviews is updated continuously and shaped with feedback from users. Follow our release notes or share your thoughts via live chat or feature request form to give your feedback and stay in the loop.

Figma has long been the go-to tool for UI/UX designers, known for its intuitive interface and real-time collaboration. In fact, over 95% of Fortune 500 companies rely on Figma, and 13 million monthly active users trust it to design and prototype digital experiences.

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If you’re already designing in Figma, integrating with Optimal can help to validate your ideas early, reduce costly mistakes, and deliver experiences users actually want.

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The Hidden Cost of Skipping Design Validation

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Validating designs before development and catching usability issues early has a measurable impact on both users and the business. Research consistently shows that:

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• Early usability testing and design validation can reduce later redesign or bug-fix costs by a significant margin up to 40-50%.
• Integrating customer insights into design decisions can increase user satisfaction by up to 70%.
• Companies that prioritize UX design experience a 50% faster time-to-market for their products.

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Figma + Optimal: Prototype Testing and Design Validation

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Instead of waiting for post-launch analytics or expensive redesigns, you can test your Figma prototypes with real users in hours, not weeks with Optimal. Get quantitative data, watch recordings, analyze heatmaps, and actually see where users struggle, all before a single line of code is written.

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Here’s a look into 4 practical ways teams use Figma and Optimal together.

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4 Ways to Test Figma Designs with Optimal

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1. Preference Testing: Let Users Pick the Winner

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Ever had a debate with your team about which design direction to take? Let data decide.

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Here's how:

• Create a Figma frame with two designs side-by-side (think: two homepage variations, competing button styles, different navigation approaches)
• Copy your Figma link and drop it into an Optimal first-click test
• Ask participants: "Which design do you prefer?"
• Watch the results roll in with heatmaps showing exactly where users clicked

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2. Concept Testing: Does Your Idea Actually Make Sense?

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You've got a bold new concept. It makes perfect sense to you. But will users get it?

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The process:

• Build wireframes or mockups in Figma (they don't need to be pixel-perfect)
• Import your Figma link into an Optimal first-click or prototype test
• Create tasks like “Click the option that best matches what you’re trying to do.” or “Click where you would sign up.”
• Analyze whether users successfully understand and navigate your concept

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3. Prototype Testing: Find the Friction Before Development

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You've built a clickable prototype with multiple screens and interactions. It looks polished. But does it actually work for users?

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Step-by-step:

• Build a complete interactive prototype in Figma
• Ensure all frames and flows are complete in Figma before importing into Optimal.
• Copy your Figma prototype URL (works even with password-protected links)
• Paste it into an Optimal prototype test
• Define realistic tasks: "You want to buy running shoes under $100. Complete the purchase."
• Watch video recordings and analyze usability metrics, clickmaps, misclicks, successes/failures, and heatmaps

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What you'll discover might surprise you. Users will:

• Click on things you never intended to be clickable
• Miss obvious CTAs you thought were perfectly placed
• Get lost in navigation that seemed intuitive to your team
• Abandon tasks at friction points you didn't know existed

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4. AI Prototype Testing: Validate AI-Generated Designs

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The rise of AI design tools like Figma Make has changed the game. You can now generate a functional prototype from a text prompt in minutes. But just because AI can create it doesn't mean users can use it.

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Quick workflow:

• Generate a prototype using Figma Make
• Copy the URL and drop it into an Optimal live site test
• Add your testing tasks
• Review recordings to spot usability issues

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This is perfect for rapid experimentation. 

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Getting Started Is Simple

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1. Prep your Figma file - Have a prototype or design ready
2. Copy the link - Grab your Figma share URL
3. Create your test - Choose first-click, prototype test, or live site test in Optimal
4. Paste and configure - Add your Figma URL and write your test tasks
5. Launch - Use your own participants or tap into Optimal's panel or Managed Recruitment services
6. Analyze - Review results and iterate

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Launch Designs Users Love

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Figma gives you the power to design and prototype rapidly, while Optimal gives you the insights to make sure those designs actually work for real users. Together, they create a workflow built on real insights, not guesswork.

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By testing early and often, teams can reduce risk, build confidence in their designs, and move into development knowing their work has already been validated by users. Gather insights quickly, collaborate more effectively, and keep projects moving forward with evidence-backed decisions.

Ready to validate your next Figma prototype? Use Optimal as part of your workflow and start testing with real users today.

As we close out 2025, we’ve been reflecting on what we’ve achieved together and where we’re headed next. 

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We’re proud to have supported customers in 45+ countries and nearly 400 cities, powering insights for teams at LEGO, Google, Apple, Nike, and many more. Over the last 12 months alone, more than 1.2 million participants completed studies on Optimal, shaping decisions that lead to better, more intuitive products and experiences around the world.

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We also strengthened and brought our community together. We attended 10 industry events, launched 4 leadership circle breakfasts for senior leaders in UX, product and design, and hosted 19 webinars, creating spaces to exchange ideas, share best practices, and explore the future of our changing landscape across topics like AI, automation, and accessibility.

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But the real story isn't in the numbers. It's in what we built to meet this moment.

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Entering a New Era for Insights

This year, we introduced a completely refreshed Optimal experience - a new Home and Studies interface designed to remove friction and help teams move faster. Clean, calm, intentional. Built not just to look modern, but to feel effortless.

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Optimal: From Discovery to Delivery

2025 was a milestone year: it marked the most significant expansion of the Optimal platform we think we’ve ever accomplished, with an introduction of automation powered by AI.

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Interviews

A transformative way to accelerate insights from interviews and videos through automated highlight reels, instant transcripts, summaries, and AI chat, eliminating days and weeks of manual work.

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Prototype Testing

Test designs early and often. Capture the nuance of user interactions with screen, audio, and/or video recording.

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Live Site Testing

Watch real people interact with any website and web app to see what’s actually happening. Your direct window into reality.

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We also continued enhancing our core toolkit, adding display logic to surveys and launching a new study creation flow to help teams move quickly and confidently across the platform.

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AI: Automate the Busywork, Focus on the Breakthroughs

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The next era of research isn't about replacing humans with AI. It’s about making room for the work humans do best. In 2025, we were intentional with where we added AI to Optimal, guided by our core principle to automate your research. Our ever-growing AI toolkit helps you:

• accelerate your analysis and uncover key insights with automated insights
• transcribe interviews 
• refine study questions for clarity
• dig deeper with AI chat 
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AI handles the tedious parts so you can focus on the meaningful ones.

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Looking Ahead: Raising the Bar for UX Research & Insights

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2025 built out our foundation. The next will raise the bar.

We're entering a phase where research and insights becomes:
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• faster to run
• easier to communicate
• available to everyone on your team
• and infinitely more powerful with AI woven throughout your workflow

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To everyone who ran a study, shared feedback, or pushed us to do better: thank you. You make Optimal what it is. Here’s to an even faster, clearer, more impactful year of insights.


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Onwards and upwards.