Enabling accelerated, evidence-backed product decisions

In the fast-moving EdTech space, Product and Design teams are under constant pressure to push features fast. However, doing so without implementing on-the-ground user feedback, often has implcations on product-building.

Business context and challenges

The company operates a fast-growing, AI-based learning platform supported by a cross-functional team of 60 engineers and 12 UX researchers. Operating in high-velocity release cycles, the UX research team faced strict operational constraints:

• Aggressive release timelines: Engineering sprint schedules required qualitative feedback on new builds within 24 hours, often on the same day or next day.

• Having to strictly follow user-evidence rules: Company protocol dictated that every JIRA ticket created for product improvement or feature iteration had to include attached user video evidence, proving the issue or need-to-change.

• Clip-cutting being a bottleneck: UX researchers spent hours after every session manually scrubbing through long interview recordings, trimming video snippets, and uploading them to project management tools.

While the research team was gathering rich user insights, manual video editing created a massive operational bottleneck. Researchers were acting as video editors rather than strategic partners, and product handoffs were consistently delayed.

The solution: Streamlining research handoffs

To eliminate post-session editing overhead and meet tight sprint deadlines, the team integrated flowres.io into their research pipeline. The primary goal was to cut down handoff times at every step of the research workflow.

Live observation in a virtual backroom

Product managers, designers, and engineers joined research sessions using flowres.io’s virtual backroom. They observed participant interactions in real-time, without interfering with the moderator or disturbing the participant.

In-the-moment clip-cutting

Rather than waiting until the session ended to review hours of footage, observers tagged key moments live during the call whenever a user stumbled, expressed delight, or encountered usability friction.

Instant clip availability, on a shareable dashboard

The moment a session ended, flowres.io automatically generated video clips for every tagged timestamp. All clips were immediately hosted on a centralized, shareable project dashboard, ready for distribution; without any manual exporting or rendering.

Outcomes and impact

By replacing manual post-session clip editing with real-time bookmarking and automated clip generation, the team completely transformed how user feedback flowed into engineering sprints:

"Product decisions are now backed by shareable, JIRA-attachable user-evidence clips – what used to take days, is now available to us in hours."

• Manual video processing entirely eliminated: Researchers saved hours per study by completely bypassing post-session clip-cutting and file management.

• Seamless integration with JIRA: Product managers could copy and attach auto-generated video clip URLs directly into JIRA tickets, providing engineers with indisputable context for every bug or feature request.

• Faster sprint turnarounds: Qualitative feedback loops shrunk from days into hours, enabling the UX team to deliver same-day insights without sacrificing evidence quality.

Conclusion

Instead of employing a bigger research team to address the research challenge, what worked was removing the steps between "We noticed something" and "Here's proof that we noticed something." With bookmarking and auto-clipping built into the backroom, every product decision was now backed by shareable, JIRA-ready user evidence, at a pace that the release calendar demanded.