UserInsight

Connect · Unify · Surface the why · Act

User insights, explained: how UserInsight surfaces the why

Connect your usage data, feedback, tickets, reviews and surveys, and UserInsight unifies behavior with voice, then AI surfaces why users churn and what to build, automatically. On aggregate consented data, with no PII.

Insight Studio
Aggregate & consented · no PII

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.

Usage spark Support ticket Review ★ Survey Session → one clear answer

Surfacing insights

Analyzing

Headline insight

Live, interactive · aggregate sample data

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

Aggregate & consented · no PII · every insight traced to source

The path from signals to the why

How UserInsight surfaces user insights in four steps

No query to write and no dashboard to babysit. UserInsight connects to where your user data already lives, unifies it, and brings the answers to you.

01 / CONNECT

link

Link your product analytics, support tickets, reviews, surveys and in-app feedback. Aggregate, consented data only, with no PII and no raw session replay of individuals.

02 / UNIFY

stack

UserInsight fuses behavior and voice into one model, joining what users do to what they say, so the quant and the qual finally live in the same place.

03 / SURFACE

sparkle

Churn reasons, feature requests, friction steps and recurring themes surface proactively, ranked and quantified. The insight comes to you, no query required.

04 / ACT

target

Every insight is traced to the exact tickets, reviews and events behind it, so your team acts on evidence, takes it to the roadmap meeting, and trusts the call.

UserInsight operates on aggregate, consented data. Every insight links back to the signals behind it.

No black box

Every insight traces back to the evidence

An AI insight you cannot verify is just another opinion. UserInsight links every finding to the exact tickets, reviews and events behind it, so you can click through and trust what you act on.

  • Each insight cites the specific tickets, reviews and surveys behind it
  • Behavior is joined to the events and funnel steps that explain it
  • Findings are ranked and quantified, not a vague summary
  • Aggregate and consented data only, with no PII to expose
Insight, traced Evidence

Top churn reason

Onboarding stalls before the first project

+12% churn frustrated

214 support tickets

onboarding, setup

linked

9% drop-off at step 3

first-project funnel

linked

41 reviews mention setup

3.2 stars on theme

linked
Usage + tickets + reviews · traced No PII

One source of truth, three teams

One insight layer that product, growth and CX all trust

Instead of three teams arguing from three dashboards, everyone works from the same unified, evidenced view of what users do and why.

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 laid out in evidence.

For Growth

Find the why behind retention and conversion drops. Connect funnel behavior to the reasons, so experiments target the real cause, not just a symptom on a chart.

For CX

Turn ticket and review volume into themes and sentiment trends, then route the recurring issues to the teams who can fix them at the root before they drive churn.

Before you start

How UserInsight works, in brief

No. That is the whole point. UserInsight surfaces the why proactively, so churn reasons, feature requests and friction steps come to you, ranked and quantified, instead of waiting for someone to build a funnel query.
Because it is not a black box. Every insight is traced to its source signals, the specific tickets, reviews and events, and is ranked and quantified. You can click through to the evidence rather than taking the AI on faith.
UserInsight runs on aggregate, consented data with no PII exposure and no raw session replay of individuals. It is GDPR-friendly by design, which is why teams clear it through procurement faster than session-replay tools.
Product usage analytics, in-app feedback, surveys, support tickets, reviews and session data. It fuses behavior with voice so you see what users do and why in one unified model.

Turn scattered signals into user insights you can act on

Connect your usage data, feedback, tickets, reviews and surveys, and UserInsight surfaces why users churn and what to build next, each insight traced to its source. Aggregate and consented, with no PII.

See pricing

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