---
isPrivate: true
title: Journey Details Report
description: >-
  Inspect each journey's performance with a detailed report combining Product
  Analytics, Real User Monitoring, Synthetic Monitoring & Testing, and Session
  Replay data.
breadcrumbs: Docs > Journey Monitoring > Journey Details Report
---

# Journey Details Report

{% callout %}
##### Join the Preview!

Journey Monitoring is in Preview.

[Request Access](https://www.datadoghq.com/product-preview/journey-monitoring/)
{% /callout %}

## Overview{% #overview %}

Each journey has a details report that combines metrics and telemetry from [Real User Monitoring](https://docs.datadoghq.com/real_user_monitoring.md), [Synthetic Monitoring & Testing](https://docs.datadoghq.com/synthetics.md), [Product Analytics](https://docs.datadoghq.com/product_analytics.md), and [Session Replay](https://docs.datadoghq.com/session_replay.md). The report shows data about the journey's user behavior patterns and technical performance.

{% image
   source="https://docs.dd-static.net/images/journey_monitoring/journey-monitoring-details-report-1.93762e64e7f6f0cf8b028c32bbd4478a.png?auto=format&fit=max&w=850 1x, https://docs.dd-static.net/images/journey_monitoring/journey-monitoring-details-report-1.93762e64e7f6f0cf8b028c32bbd4478a.png?auto=format&fit=max&w=850&dpr=2 2x"
   alt="The Journey Monitoring details report showing a specific journey's key performance indicators, user behavior insights, and technical performance measurements." /%}

## Journey and variant filters{% #journey-and-variant-filters %}

The left side of the report lists the journey and its [variants](https://docs.datadoghq.com/journey_monitoring/details_report/variants.md). 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.

{% alert level="warning" %}
By default, the journey is selected as the filter for the report.
{% /alert %}

## Attribute filters{% #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{% #product-analytics %}

### Funnel{% #funnel %}

Each details report has a [funnel](https://docs.datadoghq.com/product_analytics/charts/funnel_analysis.md) 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{% #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{% #real-user-monitoring %}

### Operations{% #operations %}

The [operations](https://docs.datadoghq.com/real_user_monitoring/operations_monitoring.md) 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](https://docs.datadoghq.com/real_user_monitoring/correlate_with_other_telemetry/apm.md?tab=browserrum) 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](https://docs.datadoghq.com/internal_developer_portal/catalog.md).

### Error count{% #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](https://docs.datadoghq.com/error_tracking.md). 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.

{% image
   source="https://docs.dd-static.net/images/journey_monitoring/journey-monitoring-details-report-technical.ddb7fb791eafbfc6fe2a6f12046b7a0a.png?auto=format&fit=max&w=850 1x, https://docs.dd-static.net/images/journey_monitoring/journey-monitoring-details-report-technical.ddb7fb791eafbfc6fe2a6f12046b7a0a.png?auto=format&fit=max&w=850&dpr=2 2x"
   alt="The Journey Monitoring details report showing a specific journey's technical performance data, including error count timeseries and backend service dependencies." /%}

## Synthetic Monitoring & Testing{% #synthetic-monitoring--testing %}

### Tests table{% #tests-table %}

The Synthetics tests table lists all Synthetic tests in the journey's [test suite](https://docs.datadoghq.com/journey_monitoring/uptime.md). 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{% #further-reading %}

- [Learn about Journey Monitoring](https://docs.datadoghq.com/journey_monitoring.md)
- [Learn about the map](https://docs.datadoghq.com/journey_monitoring/map.md)
- [Learn about suggested journeys](https://docs.datadoghq.com/journey_monitoring/map/suggested_journeys.md)
- [Learn about journey variants](https://docs.datadoghq.com/journey_monitoring/details_report/variants.md)
- [Learn about journey uptime](https://docs.datadoghq.com/journey_monitoring/uptime.md)
