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User interviews provide some of the richest insights a product team can uncover. But turning hours of recordings and transcripts into clear insights can often be slow and manual without the right tools.

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With automated insights and AI Chat in Optimal Interviews, you can accelerate that entire workflow, from extracting insights from interview recordings to transforming them into outputs that fit directly into the tools your team already works in.

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Instead of spending hours summarizing transcripts and translating research into stakeholder updates, AI Chat helps you quickly generate structured outputs for documentation, tickets, and decision-making.

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Deliver Interview Insights Directly into the Tools Your Team Uses

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AI Chat can surface key themes, quotes, and patterns across participant recordings. Once insights are identified, it can quickly transform them into formats your team already uses.

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You can control the output by specifying tone, length, structure, and level of detail directly in your prompt. The more explicit you are about the format you want, the better the output.

Simply specify the details of the deliverable you want, and AI Chat can structure the output for documentation, planning, and product tools.

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Here’s how teams can use AI Chat with some of the most common product, design, and research tools.
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Notion

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Notion is used by many teams for documentation, knowledge bases, product planning, and research repositories.

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Example AI Chat prompts

• Turn these interview insights into a structured Notion research summary with sections for Key Findings, Supporting Quotes, and Recommendations.
• Create a Notion page outline summarizing onboarding interview insights with headings and bullet points.
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Jira

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Jira is a widely used issue tracking and project management platform that product and engineering teams rely on to manage work, track bugs, and plan development tasks.

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Research insights often lead directly to product improvements, and AI Chat can translate insights into actionable tickets.

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Example AI Chat prompts

• Convert these interview insights into three Jira tickets including title, description, and acceptance criteria.
• Turn this usability issue into a Jira bug ticket.
• Create a Jira epic summarizing onboarding improvements suggested by interview feedback.
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Linear

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Linear is a modern planning and issue tracking tool designed for fast-moving product teams. It’s often used for planning product work, managing projects and engineering tasks, and tracking product improvements.

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AI Chat can quickly convert insights into structured Linear issues.

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Example AI Chat prompts

• Convert these insights into Linear.app issues with clear titles, descriptions, and priority levels.
• Create a Linear.app issue summarizing the navigation problem identified in these interviews.
• Generate a set of tasks for the Linear.app addressing usability problems mentioned by participants.
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Confluence

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Confluence is a team collaboration and documentation platform used to share knowledge, publish research reports, and maintain internal documentation.

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AI Chat can help transform research findings into polished documentation ready for stakeholders.
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Example AI Chat prompts

• Turn these interview insights into a Confluence page with sections for Background, Findings, and Recommendations.
• Create a Confluence page explaining the usability issues uncovered in onboarding research.
• Turn opportunities to improve into concise post-it notes, with one key point per note, written in simple, scannable language to use in a Confluence whiteboard.
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Best practice tip: For cleaner, copy-and-paste-ready outputs, consider adding “Do not include citations.” to any of these suggested prompts.


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Accelerate the Impact of User Research

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By combining automated interview insights with AI Chat, teams can quickly move from recordings to structured insights, and share them in formats that resonate with internal teams and stakeholders.

This makes it easier to clearly communicate what users are saying, build alignment across product, design, and engineering, get buy-in, and turn research insights into decisions that teams are ready to support and action.

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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.

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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. 

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

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1. Align on key objectives

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

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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.
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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.” 

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3. Turn pain points into design and product decisions

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

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4. Sharpen your marketing messaging

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

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5. Facilitate workshops

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


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6. Make brainstorming more focused

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

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7. Map complex processes

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

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Using Optimal AI Chat for seamless collaboration

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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.

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

Recruiting the right participants is one of the biggest challenges teams face when conducting user research. Poor quality or disengaged testers can lead to unreliable data. While bottlenecks in recruitment – long lead times and limited access – can delay studies, reduce research frequency, and slow product development. 

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Having flexible options helps you keep moving at pace. Whether you bring your own participants, use Optimal’s recruitment services, or leverage external panel providers, Optimal gives you the flexibility to recruit the right user testers consistently and efficiently so you can launch studies faster, run them more frequently, and quickly scale research across multiple projects.

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Here’s a breakdown of your recruitment options with Optimal:

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1.  Invite Your Own Participants For Free

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Optimal lets you invite your own participants with a study link, QR code, or intercept snippet at no extra cost, giving you full control over who takes part in your studies.

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2. Use Any Panel Provider You Prefer

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Optimal works seamlessly with any panel provider, such as User Interviews, Respondent, PureSpectrum, Prolific, Dynata, Askable, and Cint.

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How it works:

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1. Create and publish an unmoderated study in Optimal, such as a live site test, prototype test, survey, first-click test, card sort or tree test.
2. Specify your audience criteria in the panel platform.
3. Add screener questions in your panel provider and/or Optimal.
4. Add your Optimal study link into the panel provider platform.
5. Panel provider recruits participants and manages incentives.
6. See a participant list in Optimal and review participant metrics like completion rate, time taken, and location breakdown.
7. Optional: Create segments in Optimal for more targeted insights.
8. Review insights, results, and analytics in Optimal to make informed research decisions.

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Certain panel providers, like User Interviews, offer additional benefits through direct integration with Optimal. You can automate participant tracking and see participant status in real time in your panel provider platform as user testers complete your studies.

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3. Use Optimal’s Managed Recruitment Services

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For teams that want expert support, Optimal’s Managed Recruitment services tap into multiple panels to access  over 20 million participants across 150 countries. Whether you're looking for a broad audience or something highly specific, we can help you find the right people to take part in your study.

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Optimal handles the panel selection, incentive management, and criteria refinement. We’ll even review and optimize your screener questions. Get started by submitting your criteria. 

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4. Use Optimal’s On Demand Panel

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Looking for another quick recruitment solution? You can order user testers instantly inside the Optimal platform. It’s ideal for B2C research and studies with basic demographic requirements, and Optimal takes care of incentives for you.

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Recruitment Flexibility and Quality

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You’re never locked into a single approach with Optimal. Instead, you can adapt your recruitment strategy to each study, balancing speed, quality, budget, and scale, while using the same research and user insights platform.

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From shareable study links to easy panel workflows and expert support when you need it, you can spend less time managing recruitment and more time gathering actionable user insights.