How it works
Connect your sources
Point the engine at your feedback channels—surveys, support tickets, session recordings, or user interviews.
Run the analysis
The engine processes all inputs and identifies patterns, themes, and anomalies across your feedback.
Review actionable insights
Get a clear summary of user pain points, opportunities, and risks with supporting evidence from your data.
Connect your sources
Point the engine at your feedback channels—surveys, support tickets, session recordings, or user interviews.
Run the analysis
The engine processes all inputs and identifies patterns, themes, and anomalies across your feedback.
Review actionable insights
Get a clear summary of user pain points, opportunities, and risks with supporting evidence from your data.
Why use User Insights
Hours instead of weeks
What used to require dedicated analysts or days of manual work now takes minutes.
Patterns you would miss
Surface themes across thousands of data points that manual review would overlook.
Evidence-backed decisions
Every insight links back to specific user quotes and data sources you can verify.
Your data stays yours
Runs inside your environment with no data leaving your stack.
When to use User Insights
Quarterly feedback synthesis
Your team collected hundreds of survey responses and support tickets. You need themes for the roadmap.
Analyze our Q4 NPS responses and identify the top 5 pain points with supporting quotes.
Pre-project research
Before starting a redesign, you want to understand what users actually struggle with.
Review the last 3 months of support tickets for checkout issues and summarize the patterns.
Competitive signal detection
Users mention competitors or missing features. You need to track these signals systematically.
Find all mentions of competitor products in our feedback and categorize by feature gap.