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Analytics & behavior · Session replay

Session replay that shows where users get stuck, without spying on individuals

Insight Studio
Aggregate & consented · 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

Short answer

Session replay traditionally records individual user sessions so you can watch them back and spot friction like rage clicks and dead ends. The classic version is slow to review and captures things a privacy team would rather you did not. UserInsight takes the privacy-first approach: instead of replaying people one at a time, it studies where friction clusters across thousands of sessions and attaches the why from the tickets, reviews and survey replies tied to that same step, on aggregate, consented data with no PII exposed and every finding traced to its source.

Unify · surface the why · traced to evidence

Classic session replay hands you a pile of individual recordings and a stopwatch. You scrub through dozens of clips hoping to spot the rage click, then guess at why it happened. It is slow, it is voyeuristic, and it quietly captures things a privacy team would rather you never recorded.

UserInsight takes a different route. Instead of replaying one person at a time, it studies where friction clusters across thousands of sessions, then attaches the why by pulling in the tickets, reviews and survey replies tied to that same step. You see the stuck point and the reason behind it on aggregate, consented data with no PII exposed, and every finding links straight back to the signals that produced it.

USAGE FEEDBACK TICKETS REVIEWS SURVEYS

Traced to source evidence

No PII · GDPR-friendly

Why it works

What your team gets with session replay

Friction across sessions

See the steps where users hesitate, loop or drop, measured across the whole base rather than one clip at a time.

The why, attached

Each stuck point arrives with the tickets, reviews and survey answers from people who hit it, so behavior and voice sit side by side.

Private by default

Aggregate and consented data only, no raw recordings of individuals and no PII, so security and legal can sign off without a fight.

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.

  • Pinpoints the screens and steps where users stall
  • Joins behavior to the feedback from people who got stuck
  • Skips the manual scrubbing through endless clips
  • Keeps data aggregate and consented, with no PII exposed
  • Links every friction point back to its source signals
INSIGHT One finding

Top churn reason

Onboarding stalls before the first project

+12% churn frustrated

traced to 214 tickets + a 9% drop-off at onboarding step 3

1 Slack + Teams notifications 312
2 Bulk import from Asana 188
Usage + voice · unified Aggregate · no PII

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.

At a glance

Classic session replay versus a privacy-first, aggregate approach

Dimension Classic session replay UserInsight approach
Unit of analysis One recorded individual session at a time Friction clustered across thousands of sessions
Finding a pattern Manual scrubbing through clips to spot a trend Recurring stuck points surfaced automatically
The why Inferred by guessing at what the user was thinking Attached from the tickets, reviews and surveys at that step
Privacy Records individual activity, often including PII Aggregate, consented data with no PII exposed

What is session replay?

Session replay is a technique that reconstructs how a user interacted with your product, replaying their clicks, scrolls, taps and navigation as a watchable session. Teams use it to see friction that aggregate numbers hide: a rage click on a dead button, a form field everyone abandons, a layout that breaks on one browser. As a way to witness real behavior rather than infer it, it can be genuinely revealing.

The catch is cost, in two senses. Reviewing recordings is slow: you watch many sessions to find one insight, and you cannot watch them all. And recording individuals raises real privacy exposure, since sessions can capture sensitive information unless carefully masked. Those two costs are why the newer, privacy-first approach studies friction across sessions in aggregate rather than replaying people one at a time.

Is session replay a privacy risk?

It can be, which is why it deserves care. Recording individual sessions can capture personal or sensitive data entered on the page, and regulations like GDPR and CCPA treat that as personal data requiring a lawful basis, masking and retention limits. Most replay tools offer input masking and exclusion rules, but the default posture is to record first and redact after, which puts the burden on you to configure it correctly.

The lower-risk alternative is to analyze friction without replaying identifiable individuals at all. UserInsight works on aggregate, consented data and surfaces where users get stuck across the whole base rather than recording single people, so security and legal can sign off without a lengthy review. You get the insight session replay promises, where users struggle and why, without holding a library of recordings of your customers.

How is this different from Hotjar or FullStory?

Hotjar and FullStory are excellent at what they do: they capture individual sessions, heatmaps and on-page behavior, and let you watch and search recordings. If your goal is to witness a specific user's journey pixel by pixel, that is their strength. The trade-offs are the ones common to recording-based tools: you review sessions manually to find patterns, and you hold recordings of individuals.

UserInsight is built for a different question. Rather than watching sessions to guess why someone struggled, it surfaces the recurring stuck points across thousands of sessions and attaches the reason from the tickets, reviews and survey replies tied to that step. It is aggregate and privacy-first by design, with no individual replay. Many teams keep a recording tool for the occasional deep look and use UserInsight for the at-scale why.

Do you need session replay to find friction?

No. Session replay is one way to find friction, not the only one, and often not the most efficient. Watching recordings is powerful for a single tricky flow but poor for coverage, since you can only review a fraction of sessions and you still have to interpret what you see. For understanding friction across your whole product, aggregate analysis that ranks stuck points by how many users hit them is faster and more complete.

The more important limit is that a recording shows the struggle but not its cause. You can watch someone abandon a form and still not know whether the field was confusing, broken or asking for something they did not want to give. Joining the friction point to the feedback from people who hit it answers that, which is why UserInsight leads with the why rather than the replay.

Good questions

Questions about session replay

Use session replay to find where onboarding friction happens and user interviews to learn why. Replay shows the exact step where people stall, across hundreds of sessions, without scheduling anyone. Interviews explain the intent behind it but reach five to ten people. UserInsight joins the two signals by linking stuck points to the tickets and survey replies that explain them.
No, and that is the point. UserInsight studies where friction shows up across many sessions and explains why, rather than recording and replaying single people. You get the insight a replay tool promises without the privacy exposure of watching individuals.
Every friction signal links to the exact events, tickets and survey replies behind it, so you can read the evidence yourself. Nothing is a black box, and your team can verify a finding in a click before acting on it.

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.

See pricing

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