April 1, 2026
3 minutes

From Interview Insights to Action: Using AI Chat to Deliver Findings into Notion, Jira, Linear, and Confluence

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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.

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.

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.

Deliver Interview Insights Directly into the Tools Your Team Uses

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.

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.

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

Notion

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

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.

Jira

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.

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

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.

Linear

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.

AI Chat can quickly convert insights into structured Linear issues.

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.

Confluence

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

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

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.

Best practice tip: For cleaner, copy-and-paste-ready outputs, consider adding “Do not include citations.” to any of these suggested prompts.


Accelerate the Impact of User Research

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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A Look at Rally + Optimal: From Recruitment to Real Insights

A well-maintained participant panel is more than a time-saver. It sets your team up for better research from day one. The people you recruit and how you track, segment, and manage those relationships over time directly shapes how reliable your findings are.  

With the right setup in place, you can move forward with confidence, knowing that these participants meet your criteria, aren’t overused, and can bring fresh perspectives to each study.

Tools like Rally UXR bring that structure to participant recruitment. It helps you build and manage your own participant panel, keep track of consent and contact history, coordinate logistics, and stay on top of all the moving parts. You can also see things like incentive history and email engagement, making it much easier to decide who to invite and when.

But recruitment is just the starting point. The real value comes next: running the research and turning participant feedback into insights you can actually use.

Using Rally + Optimal together


Whether you’re running unmoderated studies, testing designs, navigation, or content, or conducting usability testing calls, having the right research tools in place is critical. If you’re already using Rally, pairing it with Optimal can connect the dots from recruitment through to insights, without adding friction to your workflow.

You can also use Optimal’s on-demand or custom managed recruitment services, though Rally’s strength lies in building your own custom panel and database.

Here’s how to combine Rally and Optimal into a smooth, efficient research workflow.

Start with intentional recruitment


Define your participant criteria in Rally. Use screening questions not just to qualify participants. Think beyond “does this person qualify?” and start building segments you can reuse: power users vs. casual users, returning users vs. first-timers, people familiar with the old design vs. new. These segments can make it easier to run focused studies and compare results over time.

Build your study in parallel


A simple shift that makes a big difference: don’t wait. Build your study in Optimal before sending invites from Rally. This ensures that when participants are ready, the link can be dropped into Rally, and distribution happens the moment you're ready.

Use the strengths of each platform


Rally handles the relationship and profile management: who's been invited, who's confirmed, who needs a reminder, screener and survey history, consent forms, and more. Optimal handles the research: collecting quantitative and qualitative data, visualising patterns, quantifying usability issues, automating insights with AI, and surfacing the metrics and insights that actually answer your research question. 

With Optimal, you can immediately put Rally-recruited participants into studies including:

  • Prototype testing
  • Live site testing 
  • Card sorting
  • Tree testing
  • First-click testing
  • Surveys

Keep your insights in one place


When it comes to research, scattered insights = lost impact. Using Optimal as your central hub for results, recordings, and analysis makes it easier to share findings with your team and stakeholders, track progress over time, and back up decisions with real evidence. 

The tools you use for recruitment and the tools you use for research aren't just operational choices. They shape your research culture. When recruitment and research are both well-structured, everything runs more smoothly. Teams that invest in structure on both ends of the workflow tend to produce research that's faster, more credible, and more likely to influence decisions. 

Rally and Optimal are powerful on their own. Together, they create a workflow that’s scalable, insight-driven, and built for continuous discovery.

If you're not yet using Optimal, you can start a free trial or book a demo.

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The Next Evolution of Optimal Recruitment: More Control. More Precision. More Confidence.

When we spoke to study creators about what can cause a study to fail, the answer was rarely a methodology problem. It was recruitment.

If you've ever watched a study stall because the right participants didn't show up, you already know the problem we're trying to solve. The study is ready. The tasks are written. Stakeholders are waiting. And then recruitment breaks down. 

Participants trickle in too slowly. The participant quality isn’t quite right. The timeline shifts. Confidence in the findings edges downward.

Recruitment: a moving target

Recruitment has always been a moving target. There are endless ways to improve it – through reach, participant quality, fraud prevention, and ease of use. 

As part of our ongoing work to strengthen our recruitment offering, we’ve reimagined self-service recruitment at Optimal. We’ve taken a closer look at the experience and focused on giving research teams more options, greater control, and confidence in participant quality when recruiting participants.

What we heard from research teams

Across the teams we spoke to, several consistent themes emerged. Quality was a persistent concern. The issues were usually about fit. Participants sometimes didn’t meaningfully engage with the tasks or dropped off mid-session. 

"Niche" participants were referenced often as well. What was usually meant wasn't rare profiles but it was a combination of specific targeting and filters applied at once. Seniority plus industry plus behaviour plus location. Multiple criteria that some existing tools just didn't handle well.

On the coordination side, we heard a consistent ask: researchers want to know who they've already spoken to. They don't want to contact the same people repeatedly without realizing it. They're tired of managing participant lists manually just to avoid that problem.

In short: speed matters, but predictability, visibility, and participant quality matter more.

Built for real-world studies

We've rebuilt Optimal’s self-service recruitment from the ground up.

Participant Profiles: more flexibility and control

The centerpiece of the new experience is Participant Profiles. Build a profile for exactly who you need from demographics, location (down to the city), job title, seniority, company size, device, industry, B2B, language, and more. You’ll also have the ability to:

  • Run multiple profiles in a single study. If you need senior decision-makers from the UK and individual contributors from the US, you can define both profiles with separate quotas and recruit them simultaneously for the same study.

  • Set multiple quotas per profile. Define not just who you need, but how many of each. So if your study needs 30 brand managers and 20 operations managers, you can recruit for both.

  • Set exclusion controls. One of the clearest things we heard: researchers don't want to keep recruiting the same people. It can create a bias in their data, but managing participant history manually can be resource-intensive and tedious. Exclusion controls let you automatically exclude participants who've taken part in your studies within a set period; for example, the last three months.

More panels, more reach

To help research teams reach the right participants with greater reliability, Optimal’s self-service recruitment now draws from multiple panels. This increases the pool of available participants across regions and segments, giving research teams more opportunities to find the right fit even for more specific or multi-criteria profiles.

Access millions of participants across over 150 countries, with expanded targeting options beyond general population samples, including B2B audiences.

Visibility and predictability, from setup to launch

Before you launch, you'll see an estimated fill time, credit cost, and a feasibility check based on your profile and quotas. After launch, live recruitment progress sits alongside your study responses. You can see exactly how each profile quota is filling in real time.

Why this matters now

The teams we spoke to are running more ambitious studies than ever – recorded sessions, concept tests, and studies that sit between a quick survey and a full moderated interview. These studies demand reliable, targeted, well-matched participants. Recruitment is often the deciding factor in whether a study succeeds.

Recruitment has always been the part of research that feels the least in your control. We want to change that, not adding more complexity, but by giving you the right tools to recruit exactly who you need.

You should be able to see what's happening, trust that the right people are coming through, and stay focused on your study. Get the confidence in your participants so you can focus on what comes next: the decisions that matter.

Profiles are now available in Optimal’s Usability Testing tool and will be rolling out across the rest of the platform.

Explore the new recruitment experience in your account or book a demo.

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The Latest from Optimal Interviews: Automating Insights and 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.

  • “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.

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