Simplify Your Workflow with the Interviews Scheduler & Seamless Calendar & Video Integrations

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.

‍

• “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." 

‍

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.

‍

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.

‍

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

‍

‍

How Teams Are Using Optimal Interviews

‍

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

‍

• 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.

‍

‍

‍

Recent Enhancements: New Features for More Automation

‍

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

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.
‍

‍

2. Video Conferencing Integrations

‍
‍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.
‍

‍

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.
‍

‍

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.

‍

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.

‍

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

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.
‍

‍

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?
‍

And if you're just getting started, our Interviews 101 guide is a great place to begin.

‍

Want to learn more about how to harness the full potential of Optimal Interviews and AI Chat? Register for this live training.
‍

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.

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.

Collaboration tools like Mural, FigJam, and Miro are staples of how modern teams can brainstorm, map ideas, align on plans, and build together. But a canvas alone can't tell you if you're on the right track or guide you to what comes next when progress stalls. That's where Optimal AI Chat and user insights come in.

‍

By starting or bringing real user insights into the boards your team already works in, you can reduce ambiguity, ground discussions in real research, and accelerate decision-making. 

‍

Here are 7 ways to use AI Chat alongside your collaboration boards.

‍
‍

1. Align on key objectives

‍

Before your next planning session, use Optimal AI Chat to surface relevant insights from your interview recordings. Add a summary directly into your Mural, Miro, or FigJam board so everyone comes in with the same context and understanding of the objectives. Instead of starting with assumptions, your team can start with real user insights and clear trade-offs to discuss.
‍

Try this prompt: "Summarize the key considerations for [decision topic] and flag any trade-offs we should discuss as a team."
‍

‍

2. Create a user journey map

‍

AI Chat can analyze interview transcripts and video recordings and highlight common jobs to be done, behaviors, and friction points. You can then map those steps visually on your board and identify where the experience breaks down.
‍

Try these prompts: “Summarize the typical jobs to be done for the people we interviewed.”
“For this job you identified [paste job details], detail the journey steps.” 

‍
‍

3. Turn pain points into design and product decisions

‍

AI Chat can analyze recurring themes from your interview recordings and convert them into concrete opportunities your team can explore next. Adding these to your board gives the team a clear starting point rather than a vague list of problems.
‍

Try this prompt:  "Based on these pain points [paste notes or themes], suggest three product improvements we could explore."

‍
‍

4. Sharpen your marketing messaging

‍

Interview insights aren’t just valuable for product, research, and design teams. Marketing teams can also use AI Chat to quickly evaluate messaging, positioning, and customer perception.

When running preference or concept testing interviews, AI Chat can quickly analyze the feedback and suggest positioning directions you can workshop on your board.
‍

Try this prompt: “Suggest positioning options based on the interview feedback.”

‍
‍

5. Facilitate workshops

‍

Running workshops and brainstorming sessions with cross-functional teams can be challenging. Conversations drift, discussions stall, and teams sometimes struggle to focus on the most important issues. 
‍

AI Chat can help you structure the conversation before the workshop even begins by generating discussion guides based on user insights from your interviews. Add the chat outputs directly to your board to guide the session.
‍

Try this prompt: “Generate a structured discussion guide based on the pain points of the interviewees.”


‍

6. Make brainstorming more focused

‍

Open brainstorming can be valuable. It can also be chaotic without clear direction. By leveraging AI Chat, you can guide your brainstorming sessions with intelligent suggestions, topic generation, and idea organization.
‍

Try this prompt: “Generate 10 brainstorm ideas based on these user insights and group them into themes we could explore.”

‍
‍

7. Map complex processes

‍

Visualizing complex processes and systems is easier with tools like Miro, FigJam, and Mural. AI Chat can help you map out each step. AI Chat can help break down a process step-by-step, highlighting decisions, dependencies, and potential friction points based on your interviews. Your team can then map these steps visually and identify opportunities for improvement.
‍

Try this prompt: “Create a step-by-step process map for how users complete [task], including key decisions and potential friction points.”

‍
‍

Using Optimal AI Chat for seamless collaboration

‍

The best collaboration happens when teams have the right information at the right time. 

Optimal AI Chat gives your team a jumpstart for your interview analysis: clearer inputs, faster synthesis, and smarter outputs that translate directly into what you're building on your boards.

‍

Whether you're running a workshop, mapping a user journey, or planning a product launch, AI Chat helps you spend less time getting oriented and more time making decisions.
‍

Ready to see what your team can do with it?
Learn more about best practices for AI Chat or book a demo.