Voice of customer · Sentiment analysis
Customer sentiment analysis that explains why the mood moved, not just that it did
A sentiment score on a dashboard is comforting until it drops. Then it tells you nothing useful. You know the number went from 71 to 64, but not which release soured people, which segment turned, or whether it is a real trend or a noisy week. A score without the cause is an alarm with no address attached.
UserInsight does customer sentiment analysis across every channel that carries feeling, then anchors each movement to a cause. When sentiment dips, it shows you the themes driving it, the segment most affected, and the behavior that lines up with the shift, so you can act on the reason rather than stare at the symptom. It runs on consented, aggregate data with no PII exposed, and every sentiment shift links back to the verbatims behind it.
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 sentiment analysis
Feeling across channels
Sentiment is read from tickets, reviews and survey replies together, not from a single survey question in isolation.
Causes, not just curves
Each rise or dip is broken down into the themes and segments behind it, so you know exactly what to fix.
Aligned to behavior
Sentiment shifts are checked against what users actually do, separating a passing grumble from a real retention risk.
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.
- Tracks sentiment across tickets, reviews and surveys
- Breaks each shift into its driving themes
- Pinpoints which segment is turning and when
- Correlates mood changes with product behavior
- Links every movement to the 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 sentiment analysis
Explore more
More ways teams find the why with UserInsight
Stop 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