# Delivery Insights

The delivery insights dashboard provides information to the Development, Test & DevOps manager around the state of their software development process in the form of pipeline statistics. 

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Note: Users can only see permitted application data on the delivery insights dashboard.

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After you login to ISD application, click on **Insights** and select **Delivery Insights**.

<figure><img src="https://2047464521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MBEa1hoX6SqpDj-ymNs%2Fuploads%2FKVGMd2C7x4BrLr2qclZp%2Fimage.png?alt=media&#x26;token=46ad0d75-3c2b-44cd-b636-83b684b9e1ec" alt=""><figcaption></figcaption></figure>

The Delivery insights dashboard shows up with different graphical views around the pipeline statistics. All the graphical views are timebound, by default it depicts the **last 7 days'** data, which can be modified to **last 1 day**, or **last one month** or **last 6 months**.

The below graph depicts the number of deployments based on the filter selected (Whether in last 1 day, or in last 7 days, or in last one month, or in last 6 months)

<figure><img src="https://2047464521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MBEa1hoX6SqpDj-ymNs%2Fuploads%2Fz6krfNm9v3zSGUcwHEIm%2Fimage.png?alt=media&#x26;token=c0672180-136f-439a-a4bb-9af071762706" alt=""><figcaption></figcaption></figure>

Following are the different graphical views of the pipeline execution statistics. The different pipeline statistics shown in the below graphs include the following.

1. **Count of most active pipelines**:  Number of times the pipeline was executed within the given time period filter selected.
2. **Count of most successful pipelines**: Most number of times the pipeline was executed successfully within the given time period filter selected.
3. **Count of most failed pipelines**: Most number of times the pipeline failed within the given time period filter selected.
4. **Count of fastest pipelines**: Lists the pipelines which took the least time to execution.
5. **Count of slowest pipelines**: List the pipelines that took the highest time to execute.
6. **Count of number of times Manual Judgement stage was triggered** during pipeline execution.

<figure><img src="https://2047464521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MBEa1hoX6SqpDj-ymNs%2Fuploads%2Fro72Cb3mVoZhlAI7pmN4%2Fimage.png?alt=media&#x26;token=01eb9bc3-dbe1-4fa7-a61d-682fe03b1796" alt=""><figcaption></figcaption></figure>