Voice of customer · Feedback analytics
Feedback analytics that turns thousands of comments into ranked, quantified themes
A pile of feedback feels like insight but rarely is. Read a hundred comments and you remember the three that stung, not the pattern across all hundred. Tag them by hand and the taxonomy drifts, two analysts code the same message differently, and by the time the analysis is done the next thousand have arrived.
UserInsight does feedback analytics that scales and stays honest. It themes every comment consistently, quantifies how often each theme appears and who it comes from, and ties the analysis to behavior so you can see which themes actually move retention or expansion. Tools like Enterpret and Chattermill made categorization automatic; UserInsight adds the behavioral half so a theme is not just frequent but consequential. It runs on aggregate, consented data with no PII exposed, and every theme links to its verbatims.
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 feedback analytics
Consistent themes
Every comment is categorized the same way every time, so your analysis does not drift with whoever tagged it.
Quantified, not anecdotal
Each theme carries a real count and a profile of who said it, replacing the memorable anecdote with the actual pattern.
Consequential, not just loud
Themes are tied to behavior so you can tell which ones affect retention and revenue, not just which ones get the most comments.
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.
- Themes feedback automatically and consistently
- Quantifies how often each theme appears
- Profiles who is behind each theme
- Connects themes to retention and revenue
- Links every theme to its source verbatims
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 feedback analytics
Explore more
More ways teams find the why with UserInsight
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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