# Analyze Journey

Analyzing a journey allows you to evaluate its performance and track key metrics to optimize customer engagement. This section provides an overview of how to access journey details, review the workflow, and monitor the journey's success.

### Navigation to Journey Details

To view the detailed analytics of a journey, follow these steps:

1. Navigate to the [**Journey**](https://app.quickreply.ai/v3/journeys).
2. Find the journey you want to analyze.
3. Click on the **Details** button next to the desired journey. This will open the **Journey Details** page, where you can view important metrics and data related to the journey’s performance.

<figure><img src="https://1325107618-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FePPO97Ju334NhhCzTEZP%2Fuploads%2Fgit-blob-598316200239336e5ead9aafc7ff5ed22b60203c%2Fimage%20(80).png?alt=media" alt=""><figcaption></figcaption></figure>

## Overview Tab

The Journey Analytics Dashboard provides a snapshot of how a journey is performing. Users can view key metrics such as:

* Number of times the journey was triggered
* Unique customers reached
* Orders generated and revenue attributed
* Messaging cost, engagement and ROI

It also includes a performance graph to visualize activity over time, details about the journey’s trigger event, and the status of goal and exit conditions. This helps users track effectiveness and identify areas for optimization.

<figure><img src="https://1325107618-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FePPO97Ju334NhhCzTEZP%2Fuploads%2Fgit-blob-d413e75a0e187e56be99ec09608f8b3a3445b1b8%2Fimage%20(121).png?alt=media" alt=""><figcaption></figcaption></figure>

### Option to Check the Workflow

Within the **Journey Details** page, you can view the journey's workflow to understand how it progresses through various nodes:

1. Click on the **Workflow** tab located inside the **Journey Details**.
2. This section will display a visual representation of the journey's sequence, showing the flow of actions and decisions.
3. Analyze each step to determine how users interact with different nodes and evaluate the effectiveness of each part of the journey.
4. You can also filter between different versions of the journey to see the performance for a particular time range.

<figure><img src="https://1325107618-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FePPO97Ju334NhhCzTEZP%2Fuploads%2Fgit-blob-ded707bbea7c2c1946eef11e878fb1aa3ae4731f%2Fimage%20(122).png?alt=media" alt=""><figcaption></figcaption></figure>