Voice of customer · AI feedback analysis
AI customer feedback analysis that reads every comment and shows you the proof
Reading customer feedback at scale is a job that never ends, so it mostly does not get done. Thousands of comments arrive across support, reviews and surveys, and a human can skim a fraction before the next batch lands. Whatever pattern is hiding in the unread majority simply never reaches the roadmap.
UserInsight uses AI customer feedback analysis to read all of it and keep the receipts. It themes every comment across channels, quantifies each theme, ties it to behavior so you know which themes are consequential, and links every finding to the exact verbatims behind it, so the AI reads as evidence rather than a black box. It runs on aggregate, consented data with no PII exposed, and you can always trace a theme back to who said what.
Unify · surface the why · traced to evidence
Sample product
Ready to analyze
has signals waiting across usage, tickets and reviews. Surface the insights to see why users churn and what to build next.
Surfacing insights
AnalyzingHeadline insight
← friction step · biggest drop-off
Live, interactive · aggregate sample data
Every insight traced to its source signals · aggregate & consented · no PII exposure
Traced to source evidence
No PII · GDPR-friendly
Why it works
What your team gets with ai feedback analysis
Reads all of it
AI processes every comment across every channel, so the insight is not capped by how much a person can skim.
Proof attached
Each theme links to the exact verbatims that built it, so the analysis is evidence you can cite, not a black box.
Behavior-aware
Themes are tied to what users do, so you can tell a frequent comment from a consequential one.
What it handles
Unified, analyzed and surfaced, automatically
UserInsight unifies your sources, reads behavior and voice together, and surfaces the churn reasons, feature requests, friction steps and themes, each traced to the signals behind it.
- Reads every comment across support, reviews and surveys
- Themes and quantifies feedback automatically
- Ties each theme to real product behavior
- Shows the verbatims behind every finding
- Runs on consented, aggregate data with no PII
Top churn reason
Onboarding stalls before the first project
traced to 214 tickets + a 9% drop-off at onboarding step 3
Why UserInsight
One platform that fuses behavior and voice
Not an analytics tool that only shows the what, not a feedback repository that is blind to behavior. UserInsight joins both and surfaces the why, on aggregate consented data with no PII.
Unifies every source
Usage analytics, tickets, reviews, surveys and in-app feedback come together in one model, so behavior and voice finally live in the same place.
Surfaces the why
You do not write a query and wait. UserInsight tells you why churn moved and what to build next, ranked and quantified, the moment it changes.
Traced to evidence
Every insight links back to the specific tickets, reviews and events behind it, so you can click through and trust what you act on. No black box.
Good questions
Questions about ai feedback analysis
Explore more
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Learn moreStop guessing. See why users churn and what to build next.
Unify your usage data, feedback, tickets, reviews and surveys, and UserInsight surfaces the why, automatically. Aggregate and consented, with no PII.
Unifies usage, feedback, tickets, reviews and surveys · traced to source · no PII