Analytics & behavior · Behavior analytics
User behavior analytics that finally tells you why the numbers move
Tools like Amplitude, Mixpanel and Heap are excellent at showing what users do. You can build the funnel, watch the drop at step three, and split the cohort six ways. What none of them answer is why the drop happened, because behavior data records the click but never the reason behind it.
UserInsight adds the missing half. It pairs your behavioral analytics with the customer voice, so the funnel step where people leave arrives with the support tickets, reviews and survey replies from users who left there. You keep the rigor of behavior analytics and gain the explanation, all on aggregate, consented data with no PII exposed, with each insight traceable to the events and quotes that produced 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 behavior analytics
Funnels with reasons
Every drop-off point carries the feedback from the people who dropped, so the chart and the cause live together.
Cohorts that explain themselves
Segments are described not just by what they do but by what they say, turning a cohort into a story you can act on.
No more guessing
You stop building hypotheses about why a metric moved and start reading the actual evidence behind it.
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.
- Maps funnels, retention and cohorts like a classic analytics tool
- Attaches the customer voice to every behavioral pattern
- Explains drop-offs with real tickets and reviews
- Keeps all data aggregate, consented and PII-free
- Traces each behavioral insight to its source events
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 behavior analytics
Explore more
More ways teams find the why with UserInsight
Session replay, the privacy-first way
See where users get stuck across sessions, without watching individuals.
Learn moreAI product analytics
Analytics that surface the insight, instead of waiting for a query.
Learn moreVoice of customer software
Unify every customer voice and tie it back to what they actually do.
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