By outcome · AI user insights
AI user insights platform that joins what users do with what they say
User insight is split down the middle. Analytics tools like Amplitude, Mixpanel and Heap own what users do, while voice tools like Enterpret and Dovetail own what they say, and the two halves never meet. So you can see a drop-off without the reason, or a stack of complaints without knowing how much they cost, and the most important question, the why, falls into the gap between them.
UserInsight is the AI user insights platform that closes that gap. It unifies usage, feedback, surveys, tickets, reviews and session data, then proactively surfaces why users churn, what to build next, where they get stuck, and how sentiment is moving, with the quant and the qual finally on the same page. It runs on aggregate, consented data with no PII exposed, and every insight traces to the specific events and verbatims behind it, so it reads as evidence, not a black box.
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 user insights
Quant plus qual
Behavior and the customer voice live in one platform, so what users do and why they do it finally sit together.
Proactive answers
The platform surfaces why users churn and what to build next on its own, instead of waiting for someone to ask.
Evidence, not a black box
Every insight links to the exact events, tickets and reviews behind it, so your team can verify before they act.
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.
- Unifies usage, feedback, surveys, tickets and reviews
- Surfaces why users churn and what to build next
- Joins behavior with the customer voice in one view
- Serves product, growth and CX from the same source
- Traces every insight to its source signals, 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 user insights
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