Analytics & behavior · AI product analytics
AI product analytics that surfaces the insight before you think to ask
Traditional product analytics waits for a question. Someone has to suspect a problem, build the report, slice it, and interpret it, which means insight is limited to whatever the team thought to query that week. The most important shift is often the one nobody asked about, sitting in a chart nobody opened.
UserInsight is AI product analytics that works the other way around. It watches behavior and the customer voice together, then proactively surfaces what changed, why it changed, and what to do, without anyone writing a query first. Where Amplitude or PostHog hand you a powerful toolkit and wait, UserInsight brings the finding to you with the evidence attached. It runs on aggregate, consented data with no PII exposed, and every insight traces to the events and feedback 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 ai product analytics
Insights find you
The platform surfaces meaningful shifts proactively, so you learn about the problem before it shows up in a board deck.
Why, not just what
Each surfaced change comes with the customer voice behind it, so the metric and its reason arrive together.
No query required
You do not need to know what to ask, which means insight is not capped by who knows how to build the report.
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.
- Proactively surfaces what changed and why
- Joins behavioral shifts with the customer voice
- Removes the need to build reports by hand
- Explains metrics in plain language with evidence
- Keeps all data aggregate, consented and PII-free
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 product 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 moreUser behavior analytics
Funnels and cohorts, finally paired with the reason behind them.
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