Figma + Optimal: Design, Test, Iterate Faster

At Optimal, we know the reality of user research: you've just wrapped up a fantastic interview session, your head is buzzing with insights, and then... you're staring at hours of video footage that somehow needs to become actionable recommendations for your team.

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User interviews and usability sessions are treasure troves of insight, but the reality is reviewing hours of raw footage can be time-consuming, tedious, and easy to overlook important details. Too often, valuable user stories never make it past the recording stage.

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That's why we’re excited to announce the launch of Interviews, a brand-new tool that saves you time with AI and automation, turns real user moments into actionable recommendations, and provides the evidence you need to shape decisions, bring stakeholders on board, and inspire action.

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Interviews, Reimagined

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We surveyed more than 100 researchers, designers, and product managers, conducted discovery interviews, tested prototypes, and ran feedback sessions to help guide the discovery and development of Optimal Interviews.

The result? What once took hours of video review now takes minutes. With Interviews, you get:

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• Instant clarity: Upload your interviews and let AI automatically surface key themes, pain points, opportunities, and other key insights.
  
• Deeper exploration: Ask follow-up questions and anything with AI chat. Every insight comes with supporting video evidence, so you can back up recommendations with real user feedback.
  
• Automatic highlight reels: Generate clips and compilations that spotlight the takeaways that matter.
  
• Real user voices: Turn insight into impact with user feedback clips and videos. Share insights and download clips to drive product and stakeholder decisions.

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Groundbreaking AI at Your Service

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This tool is powered by AI designed for researchers, product owners, and designers. This isn’t just transcription or summarization, it’s intelligence tailored to surface the insights that matter most. It’s like having a personal AI research assistant, accelerating analysis and automating your workflow without compromising quality. No more endless footage scrolling.

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The AI used for Interviews as well as all other AI with Optimal is backed by AWS Amazon Bedrock, ensuring that your AI insights are supported with industry-leading protection and compliance.

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Evolving Optimal Interviews

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A big thank you to our early access users! Your feedback helped us focus on making Optimal Interviews even better. Here's what's new:

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• Speed and easy access to insights: More video clips, instant download, and bookmark options to make sharing findings faster than ever.
• Privacy: Disable video playback while still extracting insights from transcripts and get PII redaction for English audio alongside transcripts and insights.
• Trust: Our enhanced, best-in-class AI chat experience lets teams explore patterns and themes confidently.
• Expanded study capability: You can now upload up to 20 videos per Interviews study.

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What’s Next: The Future of Moderated Interviews in Optimal

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This new tool is just the beginning. Our vision is to help you manage the entire moderated interview process inside Optimal, from recruitment to scheduling to analysis and sharing.

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Here’s what’s coming:

• View your scheduled sessions directly within Optimal. Link up with your own calendar.
  
• Connect seamlessly with Zoom, Google Meet, or Teams.‍‍
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Imagine running your full end-to-end interview workflow, all in one platform. That’s where we’re heading, and Interviews is our first step.
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Ready to Explore?

Interviews is available now for our latest Optimal plans with study limits. Start transforming your footage into minutes of clarity and bring your users’ voices to the center of every decision. We can’t wait to see what you uncover.

‍Get started with Interviews.‍

2025 is already proving to be an exciting year for UX research, and we’re just getting started! With a range of new features and updates that empower teams to move from design to decisions faster, Optimal is bringing the best tools to the table for everyone and making research accessible across all teams. Let’s dive into what’s already here and what's coming next!
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Video Recording for Prototype Testing

We’re excited to announce that the closed beta for video recording for prototype testing has launched. By capturing screen, audio, and/or video, this feature takes research beyond metrics to give you a deeper understanding of user intent and pain points. Our Optimal Recruitment service also ensures you connect with the right participants for video recording, driving meaningful insights from the start.

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New Study Flow for Faster Study Creation

Say hello to the new Study Flow, an intuitive tab that helps to accelerate study creation, combining the Messages & instructions and Questionnaire tabs into one. Visualize every step of the participant’s journey, from the welcome screen to the final thank-you message with the Study Flow panel. Save time by quickly duplicating questions across Surveys and other study types. Navigate through studies with ease by collapsing and expanding sections as needed.

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What We’re Working On Next

Here’s a sneak peek at some exciting features in the works:

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AI-Powered Survey Question Simplification
We’re unleashing an AI-powered feature to help users simplify complex question wording and improve clarity. Users can quickly accept, reject, or regenerate more suggestions with a click. By improving clarity and simplifying your questions, you’ll gather more accurate, higher-quality insights that drive better results.

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This AI feature is available for surveys questions as well as screening, pre and post study questions for surveys, prototype tests, card sorts, tree tests and first-click tests. This is just the beginning of even more AI-driven improvements to come, all aimed at helping to accelerate your time to insights.

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Advanced Logic Capabilities
We’re working on bringing more advanced logic capabilities to Optimal - one of the most highly requested features for surveys. With display logic, the study changes dynamically - showing or hiding answer options or subsequence questions based on a participant’s previous responses. Apply display logic to Surveys, screening questions, and pre- and post-study questions. This is just the beginning. We’ll be exploring additional advanced logic capabilities in 2025. 
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Join Us on the Journey
‍Stay tuned for regular updates, and let us know how we can make your research experience even better. Have feedback or feature requests? We’d love to hear from you so we can continue to shape the future of Optimal.

User interviews have always been one of the most trusted and powerful UX research methods. They give you something beyond dashboards or written surveys: real, in-depth conversations and context.

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But they’ve historically come with a cost – time, coordination, and a heavy lift to review recordings and turn videos into insights. Sometimes insights get buried. Recordings sit unused and research becomes challenging to revisit.

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In our recent webinar, we explored how that’s changing and how you can reduce the heavy lift of interview review, while building a research repository. 

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What is a research repository?

A research repository is a centralized system for storing, analyzing, and reusing research data, especially qualitative data like user interviews. It helps teams answer questions like what users said, what patterns emerged, and how past research can inform future decisions.
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For interviews, this means:

• Storing recordings and transcripts
• Organizing insights and themes
• Making research searchable
• Enabling teams to revisit past findings
• Supporting continuous discovery
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Optimal Interviews brings this to life by automatically capturing recordings, generating transcripts, structuring insights from the start, and making everything searchable so teams can easily revisit, build on, and continuously learn from their research.
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So what did we learn? Here are some key takeaways from this webinar, plus answers to the most common questions we heard.
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1. The biggest bottleneck isn’t conducting interviews. It’s everything surrounding it.

Running interviews isn’t just about talking to users. It’s everything before and after:

• Recruiting participants
• Coordinating calendars
• Managing reschedules and no-shows
• Setting up emails and reminders
• Transcribing, organizing, and synthesizing findings
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That overhead adds up quickly. There’s opportunity in automating these workflows and removing the friction around them. Optimal Interviews solves this by:
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• Creating a central calendar
• Emailing participants with confirmations and session reminders
• Automatically capturing recordings
• Generating transcripts
• Uploading and generating summaries and insights
• Structuring insights from the start
• Allowing you to explore instantly with AI Chat
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2. Speed matters more than ever (and it’s finally achievable)

Research isn’t slowing down. Product cycles are getting faster, and teams expect insights just as quickly.

What stood out most:

• Interviews can now go from recording → transcript → insights in minutes
• Teams can share highlight reels, clips and findings almost immediately
• Analysis can start while context is still fresh
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One team told us that a few years ago it took them three weeks to analyze user interviews for an initiative. When they replicated the same study in Optimal Interviews, they were able to generate usable insights in about five minutes.
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That shift from lagging insight to near real-time understanding is where the real impact lies.

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3. Scheduling should feel effortless

Interview scheduling sounds simple, but it’s often where things break down.
You can use Optimal Interviews to ensure:
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• Availability blocks with buffers
• Controlled rescheduling and cancellations
• Video conferencing integrations
• Support for collaborators
• Built-in, secure participant communication & messaging (coming soon)
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When done right, scheduling fades into the background so teams can focus on conversations, not coordination.
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4. AI is reshaping analysis but humans stay in control

AI is already proving its value in the analysis phase:

• Automatic transcription across multiple languages
• Theme and insight extraction across interviews
• Highlight reels and supporting evidence
• Natural language queries over your research
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But one point came through clearly: AI accelerates analysis but it doesn’t replace human judgment and sensitivity.
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Researchers still play a critical role in validating insights, interpreting nuance, and deciding what matters for the business. Think of AI as getting you to 80% faster, while you own the final 20%.

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5. The real unlock is continuous, reusable research

Here’s what you can achieve with Optimal Interviews:

• You can ask questions of past interviews using natural language
• Create new custom themes or topics on demand for AI to add new insights into
• Re-analyze old research with fresh context
• Add new interviews to your existing Optimal Interviews study and refresh the insights
• Identify gaps and spin up new studies faster
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This turns research from static storage into something dynamic, something you can continuously mine and build on.
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FAQs from the Webinar

Does the platform synthesize insights or just aggregate data?

Both. You can extract insights from individual interviews, but the real value often comes from patterns across multiple sessions. Aggregation helps surface stronger, more reliable themes, while still preserving standout moments from single participants.
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How is sensitive data handled?

Privacy is a core focus and consideration with Optimal Interviews. Some of the key protections include automatic redaction of personally identifiable information (PII) and enterprise-grade AI infrastructure with strict data isolation. We're also looking to expand Optimal Interviews anonymized scheduling and communication and manual redaction controls before analysis.
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What if I can’t connect my video conferencing tools?

Integrations are available for Google Meet, Microsoft Teams, and Zoom. 

You can still run everything without integrations:

• Set availability without integrations
• Add conferencing links yourself
• Manage sessions independently
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Integrations are helpful but not required.
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Can I search across multiple studies?

Today, teams often bring relevant interviews into one project for analysis. Looking ahead, the goal is broader. Optimal’s looking into how the platform can search and query across all research, use AI chat to explore insights across studies, and surface insights at a Workspace level.
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Can I query transcripts or AI summaries?

Yes. You can search transcripts directly and use AI-powered chat to explore themes, generate summaries, or even turn findings into shareable outputs like Slack posts or reports.

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Final thought

Interviews aren’t new. But the way we run them and what we can get out of them is changing fast.

By removing operational overhead and reducing time to insight, teams can talk to users more often, share insights faster, and build a research repository that becomes part of everyday product decision-making.
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If you want to experience the full walkthrough, demo, and Q&A from the session, we encourage you to watch the full webinar.
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👉 You can watch the full training webinar here.