UserInsight
How it works
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Pricing Blog Log in

Product analytics platform that tells you why users churn

Paste what users write to you and see why they churn, in seconds.

No account needed. Nothing is stored: emails, phone numbers and links are removed before analysis.

What comes back

The report for the 20 texts behind “Use sample feedback”

Sources unified Usage analytics, feedback, tickets, reviews and surveys.
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Findings in every report Churn reasons, what to build, where users get stuck and sentiment.
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Teams on one insight layer Product, growth and CX.
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PII exposed Traced to source evidence. No PII, GDPR-friendly.
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A full report

What your workspace shows when usage and voice are joined

Pick a product type to see churn reasons, what to build, where users get stuck and sentiment, each traced to the signals behind it.

Insight Studio
Aggregate & consented ยท no PII

Product type

Ready to analyze

has signals waiting across usage, tickets and reviews. Surface the insights to see why users churn and what to build next.

Usage spark Support ticket Review Survey Session → one clear answer

Surfacing insights

Analyzing

Headline insight

Live and interactive, nothing is uploaded

Every insight traced to its source signals · aggregate & consented · no PII exposure

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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.

01 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.
02 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.
03 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."
04 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.

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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.

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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.

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UserInsight unifies them

It fuses behavior and voice into one model, then clusters the noise into ranked, quantified themes you can actually act on.

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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.

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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.

  1. 01 Surfaces the top reasons users churn, ranked by impact
  2. 02 Ranks the most-wanted features by demand and segment
  3. 03 Pinpoints the funnel step where users get stuck
  4. 04 Tracks sentiment and recurring themes across every source

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One insight layer, three teams

What each team gets from the same source of truth

For Product Stop guessing the roadmap. See what to build next, ranked by real demand and the segment asking, with the friction steps that block activation.
For Growth Find the why behind retention and conversion drops. Connect funnel behavior to the reasons, so experiments target the real cause, not a symptom.
For CX 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.

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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.

Signals it collects

Behavior and voice, from the tools you already run

  1. 01Product events: signup, activation, feature use, session start and end, plan change, cancellation.
  2. 02Funnel steps you define, so drop-off is measured against your activation path, not a generic one.
  3. 03Support tickets and their text, tags and resolution status.
  4. 04Survey responses, including NPS, CSAT and CES scores with their open-ended verbatims.
  5. 05Public review text from the review feeds you connect.
  6. 06In-app feedback and feature requests submitted by users.

How retention is calculated

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.

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Worked example

What goes in, what comes out

A walkthrough of exactly what you connect and exactly what comes back out.

What you connect

You connect the sources

  1. 01An event stream with your activation funnel steps defined
  2. 02Your support inbox or helpdesk
  3. 03Your survey tool, with NPS or CSAT verbatims
  4. 04A review feed for your product

Nothing is required up front beyond one behavioral source and one voice source. More sources sharpen the ranking.

What comes back

You get a ranked finding, with its receipt

  1. 01 A ranked list of churn reasons each with the share of the measured drop it explains
  2. 02 A ranked list of feature requests with the demand count and the segment asking
  3. 03 The funnel step with the largest drop-off and the verbatims left by users who stalled there
  4. 04 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.

Integrations

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.

Data handling

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.

Your control

You choose which sources are connected and can disconnect any of them. Insights recompute from whatever remains.

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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. Create your account today.

Starter

Small product team validating

$119.50/mo

Billed annually, save 50 percent

  • Core unification of 3 to 4 sources
  • AI churn and feature-request surfacing
  • 1 product
  • Sentiment and theme tracking
  • Aggregate, consented, no PII

Growth

Most popular

Scaling PM and growth team

$359.50/mo

Billed annually, save 50 percent

  • 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

$899.50/mo

Billed annually, save 50 percent

  • 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.

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Before you start

The questions product teams ask first

Those answer what users did and what they said, in separate silos. Nobody joins the drop-off behavior to the actual reason. UserInsight is that layer, and it surfaces the why proactively instead of waiting for you to query.
Yes, because every insight is traced to its source signals, the specific tickets, reviews and events, and is quantified. You can click through to the evidence rather than taking a black box on faith.
UserInsight operates on aggregate, consented data with no PII exposure and no raw session replay of individuals. It is GDPR-friendly by design, which is exactly why it clears procurement faster than session-replay tools.
Product, growth and CX. It is one shared insight layer all three trust, so roadmap, retention and support decisions come from the same source of truth instead of three conflicting dashboards.
Product usage analytics, in-app feedback, surveys, support tickets, reviews and session data. It fuses behavior with voice so you see the what and the why in one place.
You confirm your email with a quick code, connect your sources, and UserInsight unifies your usage, feedback, tickets, reviews and surveys into one insight layer.

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.

See pricing

Unifies usage, feedback, tickets, reviews and surveys · every insight traced to source · no PII