How to see what your users doPractical guideWeb apps, Mobile apps, Support

How to see what your users do without guessing

Move from vague feedback to real sessions, journey paths, heatmaps, events, crashes, and API context that point to the same moment.

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Rejourney dashboard showing user behavior analytics and replay context — Move from a report to a bounded questionUse replay to see what happened, then journeys, heatmaps, events, crashes, and requests to understand whether it repeats.

The right signal depends on the question

Seeing what users do starts with choosing the right observation layer. Replay shows the individual session, journeys show repeated paths, heatmaps show attention or repeated interaction, events show sequence, and errors or requests show where the system changed the experience.

The mistake is opening everything at once. Start with a bounded question, such as users who reached checkout but did not pay, users who retried search, or accounts on a new release that hit a slow endpoint.

Rejourney combines those layers so a team can move from 'users are dropping' to 'this route, interaction, request, and release window explain the drop.'

Choose the signal based on the question

Different signals answer different questions. Replay shows the individual session, events show sequence, heatmaps show attention or repeated interaction, journeys show paths, and errors or requests show where the system changed the experience.

For developers, the useful setup is not maximum data. It is a small set of signals that connect cleanly: route, event, request, replay, release, and user context.

Replay for the exact moment.
Events for sequence and search.
Heatmaps for attention, repeated taps, and missed UI.
Journeys for path-level patterns.
Errors and requests for technical cause.

Rejourney session replay preview with timeline and user context — Watch the sessionSee the exact user path instead of relying on a vague report.

Write the query before opening sessions

Do not start with 'what are users doing?' Start with a bounded question: users who opened checkout but did not pay, users who retried search, users who abandoned onboarding, or users on a new release who hit a slow endpoint.

That framing tells engineering what to instrument and tells product which sessions are worth reviewing. It also keeps the team from browsing replay until someone finds a clip that confirms their hunch.

Rejourney heatmap analytics view — Find attentionUse heatmaps to see where attention, hesitation, and repeated touches cluster.

Move between the individual and the population

A vivid replay can be persuasive, which is useful and dangerous. After watching a session, check whether the same behavior repeats across routes, segments, devices, versions, or cohorts.

This is how replay becomes a reliable product tool instead of a collection of dramatic clips. The session explains the experience. The aggregate views explain priority.

Rejourney live demo journey analytics map — Map the journeyConnect individual sessions to the repeated route behind the behavior.

Make the evidence useful to the next person

A good behavior investigation leaves behind more than a link. It should include the query, representative session, affected path, expected outcome, observed outcome, release window, and the signal that explains why the user experience changed.

That is the difference between 'watch this weird clip' and a handoff another teammate can verify, reproduce, and close.

Save the replay query or selected journey.
Attach one representative session and the repeated-pattern check.
Record expected behavior, observed behavior, route, release, segment, and owner.

Implementation notes

These are the checks another engineer should be able to use before trusting the feature in production.

Define the flow and outcome before opening recordings.
Capture route, event, request, release, and user context for the flow.
Review both successful and failed sessions from the same release window.
Use journeys, heatmaps, and analytics to validate that a replayed behavior repeats.

When to use a lighter signal

You only need broad trend reporting or scheduled qualitative research.
Your product does not need support, debugging, conversion, or release investigation.
Your team already has a reliable way to connect sessions, journeys, errors, and analytics.

Questions teams usually ask

How can I see what users do in my app?

Use session replay to watch real sessions, then combine it with events, heatmaps, journeys, crashes, and network context to understand the behavior.

Is this useful for websites and mobile apps?

Yes. Rejourney supports browser replay and mobile replay workflows, so teams can inspect behavior across web, React Native, Expo, and native iOS apps.

How do I avoid cherry-picking one replay?

Use replay as the starting point, then look for repeated patterns with journeys, heatmaps, events, and analytics so one session becomes evidence in context.