# 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.&#x20;

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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 **Dashboard**, then click on **Insights** and select **Delivery Insights**.

![](https://2047464521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MBEa1hoX6SqpDj-ymNs%2Fuploads%2FpTTdHLyptr7c8dUQ6xqM%2F47.png?alt=media\&token=8798396d-aa6d-41fe-9f5b-0cf15bd50fb6)

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)

![](https://2047464521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MBEa1hoX6SqpDj-ymNs%2Fuploads%2Fs4FZL3Zz7dxdlmmtCOaa%2F48.png?alt=media\&token=36942a8f-f2a9-4510-bd0a-14017cc2a618)

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

![](https://2047464521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MBEa1hoX6SqpDj-ymNs%2Fuploads%2FqPslfjo6GHDGhd7Oq1ND%2F49.png?alt=media\&token=cad1abd7-edec-4713-87a3-48d48da88965)
