Understand how users move through journeys — step by step

Journey Analysis shows how users move across your app from entry to activation to next step, making it easier to understand where key flows continue and where they break. For digital product teams, that means identifying whether users fall out before checkout completion, after account access, or between activation and the next action.

User journey flow showing movement from entry through activation to next step

Overview

See the full user journey

Understand how users move across the app from entry to outcome, rather than looking at each screen in isolation. Journey Analysis shows where key flows remain healthy and where users begin to drift, pause, or leave. For example, a team can see whether users reach activation but fail to progress into checkout.

Journey overview showing the most common path from login to next step outcome

Journey flow

From entry to outcome

Track how users move step by step through the product so each transition is easier to understand and improve. This is especially helpful when the journey looks healthy at the top level but hides a missed next step between activation and action.

EntryStepsDecisionOutcome
Journey flow diagram showing entry, journey steps, decision points, and final outcome
Multi-path journey map comparing the most common user routes through the product

Path visualization

See real user paths

Understand the most common routes users take instead of assuming every critical flow behaves the same way. A business team can use this view to spot whether users return to previous screens, branch into alternate paths, or stop after a critical decision point.

Drop-off analysis

Find where users leave

Identify the exact steps where progress stops so teams can focus on the moments that most directly affect continuity. For example, you may find that users reach plan selection but leave before confirmation, or view activation without taking the next action.

Drop-off visualization highlighting the step where users stop before next step
Decision point view showing where users continue or leave the journey

Decision points

Understand key decisions

See where users decide to continue, delay, or leave, especially around high-stakes key moments. These decision points often reveal whether the journey supports confidence or introduces uncertainty before a missed next step.

Comparison

Compare successful vs failed journeys

Compare successful and failed journeys to understand what separates completed paths from abandoned ones. This helps teams see whether successful users move through fewer steps, face less friction, or receive clearer guidance after activation.

Journey comparison showing completed paths versus failed next step paths

Integration

Built to work with your system

Bring journey analysis into existing product workflows without forcing teams to change how they already investigate journey continuity. Teams can move from journey paths into replay, intent, signals, and funnels when a specific route needs deeper investigation.

Flutter SDK
Event-based journey reconstruction
API ingestion
Secure session handling

Related features

Connected capabilities

Session Replay

Replay the exact user session behind a path so teams can see how one journey unfolded from entry to exit. This helps explain why a path completed, stalled, or ended before the next step.

ExpectedActual

Intent Tracking

Add expected-versus-actual context to each path so teams can understand whether the user completed the intended next action. This is useful when a journey looked active but still failed to move toward next step.

Rage tapsErrors

UX Signals

Detect where friction appears inside the journey, including hesitation, retries, and failed progress before drop-off. Signals help explain why certain paths repeat poor outcomes across multiple users.

FAQ

Common questions

Journey Analysis shows how users move through key flows step by step, so teams can see where journeys continue, stall, or end early. It helps teams understand the actual routes users take across login, conversion, checkout, and activation. That makes it easier to find where journey continuity weakens instead of only seeing isolated screen metrics.
EaseUse connects entry points, screens, decisions, and outcomes into one view of how users progress through the application. At a high level, the system reconstructs how a user moved from one step to the next and where the path changed direction or ended. A business team might use that to understand whether users reach account details but fail to take the next step action.
Yes. Teams can compare journeys that complete successfully with journeys that fail or stop early to understand what changed between them. This is useful when one group of users completes checkout while another leaves before confirmation, even though the flow is supposed to be the same. By comparing the path, teams can see where friction, detours, or missing journey steps begin to appear.
EaseUse is designed around secure session handling so user journey data can be reviewed with the right level of control. The goal is to help teams understand flow movement without turning analysis into uncontrolled data exposure. Business stakeholders can review where users moved, where they stopped, and which paths repeated without losing operational discipline.

See where users stop before it impacts outcomes.