May 27, 2026
6 minutes

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

Header graphic for the article 'Optimal Interviews: What We Learned About Modern Interview Workflows...'

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.

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.

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. 

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.

For interviews, this means:

  • Storing recordings and transcripts
  • Organizing insights and themes
  • Making research searchable
  • Enabling teams to revisit past findings
  • Supporting continuous discovery

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.

So what did we learn? Here are some key takeaways from this webinar, plus answers to the most common questions we heard.

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

That overhead adds up quickly. There’s opportunity in automating these workflows and removing the friction around them. Optimal Interviews solves this by:

  • 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

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

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.

That shift from lagging insight to near real-time understanding is where the real impact lies.

3. Scheduling should feel effortless


Interview scheduling sounds simple, but it’s often where things break down.
You can use Optimal Interviews to ensure:

  • Availability blocks with buffers
  • Controlled rescheduling and cancellations
  • Video conferencing integrations
  • Support for collaborators
  • Built-in, secure participant communication & messaging (coming soon)

When done right, scheduling fades into the background so teams can focus on conversations, not coordination.

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

But one point came through clearly: AI accelerates analysis but it doesn’t replace human judgment and sensitivity.

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%.

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

This turns research from static storage into something dynamic, something you can continuously mine and build on.

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.

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.

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

Integrations are helpful but not required.

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.

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.

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.

If you want to experience the full walkthrough, demo, and Q&A from the session, we encourage you to watch the full webinar.

👉 You can watch the full training webinar here.

Share this article
Author
Optimal
Workshop

Related articles

View all blog articles
Header graphic for the article 'Ushering a New Era of Usability Testing at Optimal: One...'
Learn more
1 min read

Ushering a New Era of Usability Testing at Optimal: One Study, Multiple Methods, Better Insights

The pace of product development has never been faster, and the cost of building on assumptions has never been higher. At Optimal, we've spent nearly two decades helping teams get closer to their users, and what we're seeing right now is a fundamental shift in how research gets done. More teams are running research than ever before and timelines to act on findings are tighter, while the expectations for what research needs to deliver keep rising. 

That shift is exactly what's driving Optimal 3.0, our most ambitious reinvention of the platform yet, designed to give every team the speed, depth, and flexibility that modern research demands. Today's release is the next step in that journey.

Optimal's new mixed-methods research tool tears down the boundaries between methods. It brings prototype testing, live site testing, and surveys into a single, end-to-end study workflow. And grounded in our product principles: speed to insights, access for all, and communication. 

A Unified Way to Test Usability

True multi-method research


Optimal’s new Usability Testing tool marks the next step in the evolution of Optimal 3.0, giving teams the flexibility to evaluate experiences in whatever form they exist today.

  • Early-stage ideas and concepts
  • Interactive prototypes
  • AI-generated or experimental flows
  • Live production experiences
  • Competitor or benchmark sites
  • Surveys and structured feedback

Combine prototype testing, AI prototype testing, live site testing, and surveys in a single study. Test multiple prototypes side by side, compare different live URLs, or mix prototype and live site tasks together all in one workflow. Research can now mirror how products actually evolve, from early concept to shipped experience.

Richer qualitative insight collection


New speak-aloud question types, custom message blocks, auto-generated transcripts and insights, citations and highlight clips help you capture the context and reasoning behind every action. AI-assisted analysis then helps you make sense of it all fast and communicate with impact.

A redesigned results and insights layer


Review a study overview surfacing key themes, pain points, and sentiment analysis combining insights across all your study methods along with detailed results, task analysis and recordings, transcripts, key quotes, and automatically generated citations and video clips. 

Coming soon: you can also use AI Chat to chat with your data directly, asking questions and pulling new insights and evidence across all your qualitative and quantitative inputs.


Six ways to put it to work

  1. Compare design variations in a single study, such as multiple navigation layouts, checkout flows, or onboarding concepts
  2. Explore early-stage concepts before committing to build
  3. Benchmark current live experience vs a redesigned prototype
  4. Test staging vs production, or two campaign landing pages
  5. Validate end-to-end journeys from concept to live experiences
  6. Compare your experience against competitors


Why this matters


Modern product development is no longer linear. Teams continuously move between:

  • Discovery and validation
  • Design and iteration
  • Prototype and production
  • Concept and reality

Traditional usability testing tools were not built for this fluidity.  Optimal’s Usability Testing brings the flexibility to match how teams actually work today.

By combining multiple methods into a single study and pairing it with AI-powered synthesis, Usability Testing helps teams reduce setup and analysis time, recruit once, capture richer qualitative context, compare experiences more easily, move faster from feedback to action, and tell clearer, more compelling insight stories. 

Learn how to get started with Usability Testing in Optimal and accelerate your path from idea to insight. Book a meeting, start exploring in your account, or join our live training webinar on June 24th to see it in action.

Header graphic for the article 'Live Site Testing Without Code: 5 Key Takeaways'
Learn more
1 min read

Live Site Testing Without Code: 5 Key Takeaways

Live site testing is now part of the Optimal platform and is designed to give you real insights from real user interactions without code, installs, or complicated setups. 

If you missed our recent Live Site Testing Training webinar or want a refresher, we’ll get you up to speed with this recap of all the key insights. 

What is Live Site Testing?


Optimal’s live site testing lets you watch users navigate any website or web app, including your own staging or production site, or even competitor experiences. It’s all about understanding how people behave in the environments they actually use, helping you identify friction points you might otherwise miss.

Key Takeaways From the Training


1. Context Is Everything


In usability research, the “real world” often looks very different from controlled prototype tests. People use their own devices, have distractions, and bring patterns and expectations shaped by real life. Foundational research shows the richest insights often come from observing users in these real contexts.

Live site testing is built to reflect that reality, helping you answer not just if someone completes a task, but how they approach it and why they struggle. 

2. Testing Is Fast and Friction‑Free


One of the biggest barriers to live site testing historically is complexity, needing code snippets, extensions, or technical setup. Optimal’s tool removes all that friction so you can see natural behaviour without influence or disruption:

  • No code or installs required
  • Paste a URL and you’re ready to go
  • You can test as often as you want - during discovery, before launch, after launch, or anytime in between - and any site you want

3. Design Tests With Real‑Life Scenarios


When crafting tasks for live site testing, think about real user goals. Asking people to complete realistic tasks (e.g., find a product, book a flight, compare two pages) and encouraging them to think out loud leads to much richer insights than purely metric‑focused tests. You can also mix tasks with survey questions for quantitative data. 

4. Participant Experience Is Built for Natural Interaction


A big part of getting real behavior is ensuring participants feel comfortable and unencumbered. Optimal’s built-in task window is readily available when needed but otherwise minimizes to stay out of the way. This flow helps people stay focused and act naturally, which directly improves the quality of insights you collect.

5. Combine Live Site Testing with Optimal’s Interviews Tool


For even deeper insights, pair live site testing with Optimal Interviews. Once you upload live site testing recordings, you get automated insights, transcripts, summaries, as well as highlight reels in Interviews. You can also explore further with AI chat, so you can quickly uncover quotes, compare experiences, and answer ad‑hoc questions.

This combination doesn’t just make analysis faster; it helps you convince stakeholders with clear, digestible, and compelling evidence from real user behaviour. Instead of long reports, you can present snackable, actionable insights that drive alignment and decisions.


Looking Ahead


We’re evolving live site testing at Optimal with solution testing, a multi-method approach that combines prototypes, live sites, and surveys in a single study. This will let teams capture even richer insights with speak-aloud tasks, automated analysis, highlight reels, and AI chat, making it faster and easier to understand user behavior and share compelling findings.


FAQs Highlights


Can you test staging or test environments and sites behind a password or firewall?

Yes, Optimal's live site testing tool works with any URL, including staging and test environments as well as sites behind a password or firewall.

You can share specific instructions with participants before they start. For example, if participants need to create an account and you don’t want that recorded, you can ask them to do this in advance via the welcome screen. That way, when the study begins, they’re already logged in.

Will live site testing affect my live website or real data?
No, user testers interacting with a live site test cannot make any changes to your website or its data.


What permissions are needed to test competitor websites?
With Optimal’s live site testing, you don't need special approval or permissions to evaluate public competitors' experiences.


Access the Training


If you want to experience the full walkthrough, demo, and Q&A from the session, we encourage you to watch the full webinar! You’ll learn how to start running your own live site tests and uncover real user behavior, plus pick up tips and best practices straight from the training.


👉 Watch the full training webinar here.

Header graphic for the article 'Figma + Optimal: Design, Test, Iterate Faster'
Learn more
1 min read

Figma + Optimal: Design, Test, Iterate Faster

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.

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.

The Hidden Cost of Skipping Design Validation

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

Figma + Optimal: Prototype Testing and Design Validation

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.

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

4 Ways to Test Figma Designs with Optimal

1. Preference Testing: Let Users Pick the Winner

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

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

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

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

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

3. Prototype Testing: Find the Friction Before Development

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

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

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

4. AI Prototype Testing: Validate AI-Generated Designs

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.

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

This is perfect for rapid experimentation. 

Getting Started Is Simple

  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

Launch Designs Users Love

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.

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.

Seeing is believing

Explore our tools and see how Optimal makes gathering insights simple, powerful, and impactful.