For AI agents: A markdown version of this page is available at https://docs.datadoghq.com/journey_monitoring/details_report.md. A documentation index is available at /llms.txt.

Journey Details Report

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Overview

Each journey has a details report that combines metrics and telemetry from Real User Monitoring, Synthetic Monitoring & Testing, Product Analytics, and Session Replay. The report shows data about the journey’s user behavior patterns and technical performance.

The Journey Monitoring details report showing a specific journey's key performance indicators, user behavior insights, and technical performance measurements.

Journey and variant filters

The left side of the report lists the journey and its variants. Each entry in the list is a filter. If the journey filter is selected, all data in the report is based on the journey and all of its variants. If a variant is selected, the report shows data specific to that variant.

By default, the journey is selected as the filter for the report.

Attribute filters

The attribute filters at the top of the details report work in tandem with the journey and variant filters. Selecting an attribute filter filters all data in the details report. Filters are scoped to sessions that triggered this journey.

Product Analytics

Funnel

Each details report has a funnel showing the journey’s traffic, conversion rate, and average completion time for each step. The top conversion and drop-off drivers are located under the funnel. You can also click on Analyze in Product Analytics to analyze funnel drop-off patterns.

User drop-offs

The user drop-off table lists the users who most frequently started but did not complete the journey. Click on a user to view their Session Replays.

Real User Monitoring

Operations

The operations table lists all operations associated with the journey. Each entry displays:

  • The operation’s name
  • The number of breached SLOs and monitors on the operation
  • The number of times the operation executed, calculated using the rum.measure.operation metric
  • The operation’s success rate, calculated using the rum.measure.operation metric
  • The operation’s latency, calculated using the rum.measure.operation.duration metric

Click on an operation to open a side panel with details about its performance. Data in the side panel includes:

  • The list of SLOs and monitors configured for the operation
  • The volume, success rate, and latency of the operation
  • Where the operation executed within the journey’s life cycle

If the RUM distributed tracing integration is enabled, the side panel also includes a list of the backend services the operation depends on. Each entry includes metrics on the backend service’s performance. Clicking on a backend service opens the service’s entry in the APM Catalog.

Error count

The error count chart shows a timeseries of errors that occurred while users were executing the journey. The data is imported from frontend issues in Error Tracking. You can click on the Investigate button to see the list of top issues. Clicking on any issue in the list redirects you to the issue in Error Tracking.

The Journey Monitoring details report showing a specific journey's technical performance data, including error count timeseries and backend service dependencies.

Synthetic Monitoring & Testing

Tests table

The Synthetics tests table lists all Synthetic tests in the journey’s test suite. Each row represents a single test and its performance, including:

  • The test’s status, which can either be Passed or Failing
  • The test’s type, which can either be Browser or Mobile
  • The test’s uptime
  • When the test most recently ran

Click on View Test Suite to visit the journey’s test suite and edit it directly.

Further reading