UserInsight AI
User Research Automation
UserInsight AI transforms hours of manual user interview analysis into automated, actionable insights. From natural conversations to JIRA stories in minutes, not days.
Overview
User Insight AI was built to eliminate the research-to-development friction. The platform automatically processes Zoom interview recordings, extracting key insights and pain points through natural language analysis, then aggregates findings across interview series to identify patterns that single conversations miss. Most importantly, it translates these insights directly into prioritized JIRA stories, complete with impact-effort scoring to guide sprint planning decisions.
User interview transcriptions automaticly imported from Zoom
After your Zoom interviews, all interviews automatically appear in your User Insight AI dashboard. No manual uploading, no note-taking - just seamless integration.
Interview details
Unprocessed transcripts maintain the full conversational flow for teams who need to reference exact quotes, verify context, or conduct deeper analysis beyond automated insights.
Interview summary and key insights are generated
Automated interview processing extracts key insights and pain points from natural conversation, eliminating manual note-taking while capturing nuanced feedback that traditional transcription misses.
Insights
Our AI identifies feature requests and pain points even when they're not explicitly stated - it reads between the lines of natural conversation.
Interview Series
The backbone of the tool, Interviews are grouped into 'interview series' and the AI model analyzes them collectively. Instead of reviewing 14 separate transcripts, you get aggregated insights that reveal patterns across all conversations.
Series Details
From these insights, the system generates prioritized action items ranked by impact and effort. Medium impact, low effort? That's your low-hanging fruit. The system tells you exactly what to tackle first
JIRA integration
One-click story creation bridges the gap from user feedback to development backlog, with automated priority scoring and contextual descriptions that skip the typical research-to-ticket translation step.
From interview to implementation in clicks, not hours
What previously took a full day of post-interview analysis now happens automatically. Product managers get clear, actionable intelligence instead of raw transcripts to interpret. Development teams receive well-defined user stories with proper context and prioritization. By automating the busy work, User Insight AI turns user research from a time-intensive bottleneck into a streamlined insights engine that directly feeds the product development pipeline.