Analytics & behavior · Session replay
Session replay that shows where users get stuck, without spying on individuals
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
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
Last updated July 2026
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.
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
Top churn reason
Onboarding stalls before the first project
traced to 214 tickets + a 9% drop-off at onboarding step 3
Illustration of the output format. Figures are made-up placeholders, not any customer's data.
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
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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