Usage · Feedback · Tickets · Reviews, unified
Product analytics platform and AI customer insights software that tells you why users churn
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
UserInsight unifies your usage data, feedback, tickets, reviews and surveys, then AI surfaces the reasons behind churn and your most-wanted features, automatically. On aggregate consented data, with no PII.
Unifies your
Traced to source evidence
No PII · GDPR-friendly
What changes
Know the why behind your numbers, not just the what
Analytics tools show you that retention dropped. Feedback tools show you what people said. UserInsight joins both and tells you why, automatically.
Know why users churn
Not just that retention dropped. UserInsight joins the drop-off to the reason behind it, drawn from the tickets, reviews and events that explain it.
One source of truth
Product, growth and CX teams stop arguing from separate dashboards. One neutral insight layer everyone trusts to make the roadmap call.
Stop querying, start knowing
You do not write a funnel query and wait. Insights come to you: "churn is up 12 percent, here is why, and here is what to build."
Evidence, not a black box
Every insight is traced to the exact tickets, reviews and events behind it, so you can click through and trust what you act on.
UserInsight operates on aggregate, consented data. Every insight links back to the signals behind it.
How it works
Connect your sources, then the insights come to you
Set it up on top of the tools where your user data already lives. UserInsight unifies the signals and surfaces the answers, so your team acts on evidence.
Connect your sources
Link your product analytics, support tickets, reviews, surveys and in-app feedback. Consented data only, no PII, no raw session replay of individuals.
UserInsight unifies them
It fuses behavior and voice into one model, then clusters the noise into ranked, quantified themes you can actually act on.
The why comes to you
Churn reasons, feature requests, friction steps and sentiment surface proactively, each traced to the tickets, reviews and events behind it.
From noise to one clear answer
Scattered signals in, one evidenced insight out
UserInsight reads your usage, tickets, reviews and surveys together, then resolves them into a single finding you can take to the roadmap meeting.
- Surfaces the top reasons users churn, ranked by impact
- Ranks the most-wanted features by demand and segment
- Pinpoints the funnel step where users get stuck
- Tracks sentiment and recurring themes across every source
Top churn reason
Onboarding stalls before the first project
traced to 214 tickets + a 9% drop-off at onboarding step 3
312
Want Slack alerts
38%
Reach first project
Illustration of the output format. Figures are made-up placeholders, not any customer's data.
Solutions
One platform for behavior and voice
One insight layer, three teams
What each team gets from the same source of truth
Stop guessing the roadmap. See what to build next, ranked by real demand and the segment asking, with the friction steps that block activation.
Find the why behind retention and conversion drops. Connect funnel behavior to the reasons, so experiments target the real cause, not a symptom.
Turn ticket and review volume into themes and sentiment trends, and route the recurring issues to the teams who can fix them at the root.
Under the hood
What UserInsight reads, and how it counts it
No black box and no hand-waving. These are the signals the platform ingests and the exact definitions it uses, so you can check the math against your own numbers.
Behavior and voice, from the tools you already run
- Product events: signup, activation, feature use, session start and end, plan change, cancellation.
- Funnel steps you define, so drop-off is measured against your activation path, not a generic one.
- Support tickets and their text, tags and resolution status.
- Survey responses, including NPS, CSAT and CES scores with their open-ended verbatims.
- Public review text from the review feeds you connect.
- In-app feedback and feature requests submitted by users.
The formulas, written out
Customer retention rate
((customers at end − new customers in period) ÷ customers at start) × 100
Churn rate
100 − retention rate, reported by logo and by revenue
Cohort retention
each signup month tracked over its own lifetime, so a bad recent cohort is not hidden by a blended average
Churn reasons are ranked by how much of the measured drop each theme accounts for, and every ranked reason carries a link back to the tickets, reviews and events that produced it.
Worked example
What goes in, what comes out
A walkthrough of the shape of a run. The figures below are an illustration of the output format, not results from any customer.
You connect the sources
- An event stream with your activation funnel steps defined
- Your support inbox or helpdesk
- Your survey tool, with NPS or CSAT verbatims
- A review feed for your product
Nothing is required up front beyond one behavioral source and one voice source. More sources sharpen the ranking.
You get a ranked finding, with its receipt
A ranked list of churn reasons
each with the share of the measured drop it explains
A ranked list of feature requests
with the demand count and the segment asking
The funnel step with the largest drop-off
and the verbatims left by users who stalled there
Theme and sentiment trends over time
so a rising complaint is visible before it becomes a wave
Every line above expands to the exact source rows behind it.
Connect the analytics, helpdesk, survey and review tools where your data already lives. UserInsight sits on top of your stack, so there is nothing to rip out and replace.
Aggregate, consented data only. No PII exposure and no raw session replay of individual users, which is why it clears procurement faster than replay-based tools.
You choose which sources are connected and can disconnect any of them. Insights recompute from whatever remains.
Pricing
One platform instead of a stack of point tools
Replace Amplitude plus a feedback tool plus a survey tool with one unified insight layer. Every plan is paid. Prices in USD. Choose a plan to get started.
Starter
Small product team validating
$199/mo
- Core unification of 3 to 4 sources
- AI churn and feature-request surfacing
- 1 product
- Sentiment and theme tracking
- Aggregate, consented, no PII
Growth
Scaling PM and growth team
$599/mo
- Everything in Starter, plus all sources
- Proactive auto-insights and alerts
- Multiple products
- Integrations and shared workspaces
- Evidence trace on every insight
Scale
Cross-team PM, Growth and CX
$1,499/mo
- Everything in Growth, plus AI insight routing
- Cross-team workspaces
- API, SSO and higher volume
- Custom taxonomy
- Priority support
Enterprise volume, SAML and a DPA? See full pricing and the Enterprise plan.
Before you start
The questions product teams ask first
Stop guessing why users churn. Let the insight come to you.
Unify your usage data, feedback, tickets, reviews and surveys, and UserInsight surfaces why users churn and what to build next. Aggregate and consented, with no PII.
Unifies usage, feedback, tickets, reviews and surveys · every insight traced to source · no PII