debian-mirror-gitlab/doc/user/analytics/value_stream_analytics.md

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stage: Manage
group: Optimize
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# Value Stream Analytics **(FREE)**

> - Introduced as Cycle Analytics prior to GitLab 12.3 at the project level.
> - [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/12077) in [GitLab Premium](https://about.gitlab.com/pricing/) 12.3 at the group level.
> - [Renamed](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/23427) from Cycle Analytics to Value Stream Analytics in GitLab 12.8.

Value Stream Analytics measures the time spent to go from an
[idea to production](https://about.gitlab.com/blog/2016/08/05/continuous-integration-delivery-and-deployment-with-gitlab/#from-idea-to-production-with-gitlab)
(also known as cycle time) for each of your projects or groups. Value Stream Analytics displays the median time
spent in each stage defined in the process.

Value Stream Analytics is useful in order to quickly determine the velocity of a given
project. It points to bottlenecks in the development process, enabling management
to uncover, triage, and identify the root cause of slowdowns in the software development life cycle.

For information on how to contribute to the development of Value Stream Analytics, see our [contributor documentation](../../development/value_stream_analytics.md).

Project-level Value Stream Analytics is available via **Project > Analytics > Value Stream**.

NOTE:
[Group-level Value Stream Analytics](../group/value_stream_analytics) is also available.

## Default stages

The stages tracked by Value Stream Analytics by default represent the [GitLab flow](../../topics/gitlab_flow.md). These stages can be customized in Group Level Value Stream Analytics.

- **Issue** (Tracker)
  - Time to schedule an issue (by milestone or by adding it to an issue board)
- **Plan** (Board)
  - Time to first commit
- **Code** (IDE)
  - Time to create a merge request
- **Test** (CI)
  - Time it takes GitLab CI/CD to test your code
- **Review** (Merge Request/MR)
  - Time spent on code review
- **Staging** (Continuous Deployment)
  - Time between merging and deploying to production

### Date ranges

> [Introduced](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/36300) in GitLab 10.0.

GitLab provides the ability to filter analytics based on a date range. To filter results, select one of these options:

1. Last 7 days
1. Last 30 days (default)
1. Last 90 days

## How Time metrics are measured

The "Time" metrics near the top of the page are measured as follows:

- **Lead time**: median time from issue created to issue closed.
- **Cycle time**: median time from first commit to issue closed.

NOTE:
A commit is associated with an issue by [crosslinking](../project/issues/crosslinking_issues.md) in the commit message or by manually linking the merge request containing the commit.

## How the stages are measured

Value Stream Analytics records stage time and data based on the project issues with the
exception of the staging stage, where only data deployed to
production are measured.

Specifically, if your CI is not set up and you have not defined a [production environment](#how-the-production-environment-is-identified), then you will not have any
data for this stage.

Each stage of Value Stream Analytics is further described in the table below.

| **Stage** | **Description** |
| --------- | --------------- |
| Issue     | Measures the median time between creating an issue and taking action to solve it, by either labeling it or adding it to a milestone, whichever comes first. The label is tracked only if it already includes an [Issue Board list](../project/issue_board.md) created for it. |
| Plan      | Measures the median time between the action you took for the previous stage, and pushing the first commit to the branch. That first branch commit triggers the separation between **Plan** and **Code**, and at least one of the commits in the branch must include the related issue number (such as `#42`). If the issue number is *not* included in a commit, that data is not included in the measurement time of the stage. |
| Code      | Measures the median time between pushing a first commit (previous stage) and creating a merge request (MR). The process is tracked with the [issue closing pattern](../project/issues/managing_issues.md#closing-issues-automatically) in the description of the merge request. For example, if the issue is closed with `Closes #xxx`, it's assumed that `xxx` is issue number for the merge request). If there is no closing pattern, the start time is set to the create time of the first commit. |
| Test      | Essentially the start to finish time for all pipelines. Measures the median time to run the entire pipeline for that project. Related to the time required by GitLab CI/CD to run every job for the commits pushed to that merge request, as defined in the previous stage. |
| Review    | Measures the median time taken to review merge requests with a closing issue pattern, from creation to merge. |
| Staging   | Measures the median time between merging the merge request (with a closing issue pattern) to the first deployment to a [production environment](#how-the-production-environment-is-identified). Data not collected without a production environment. |

How this works, behind the scenes:

1. Issues and merge requests are grouped in pairs, where the merge request has the
   [closing pattern](../project/issues/managing_issues.md#closing-issues-automatically)
   for the corresponding issue. Issue/merge request pairs without closing patterns are
   **not** included.
1. Issue/merge request pairs are filtered by the last XX days, specified through the UI
   (default = 90 days). Pairs outside the filtered range are not included.
1. For the remaining pairs, review information needed for stages, including
   issue creation date, merge request merge time, and so on.

In short, the Value Stream Analytics dashboard tracks data related to [GitLab flow](../../topics/gitlab_flow.md). It does not include data for:

- Merge requests that do not close an issue.
- Issues that do not include labels present in the Issue Board
- Issues without a milestone.
- Staging stages, in projects without a [production environment](#how-the-production-environment-is-identified).

## How the production environment is identified

Value Stream Analytics identifies production environments by looking for project [environments](../../ci/yaml/README.md#environment) with a name matching any of these patterns:

- `prod` or `prod/*`
- `production` or `production/*`

These patterns are not case-sensitive.

You can change the name of a project environment in your GitLab CI/CD configuration.

## Example workflow

Below is a simple fictional workflow of a single cycle that happens in a
single day passing through all seven stages. Note that if a stage does not have
a start and a stop mark, it is not measured and hence not calculated in the median
time. It is assumed that milestones are created and CI for testing and setting
environments is configured.

1. Issue is created at 09:00 (start of **Issue** stage).
1. Issue is added to a milestone at 11:00 (stop of **Issue** stage / start of
   **Plan** stage).
1. Start working on the issue, create a branch locally and make one commit at
   12:00.
1. Make a second commit to the branch which mentions the issue number at 12.30
   (stop of **Plan** stage / start of **Code** stage).
1. Push branch and create a merge request that contains the [issue closing pattern](../project/issues/managing_issues.md#closing-issues-automatically)
   in its description at 14:00 (stop of **Code** stage / start of **Test** and
   **Review** stages).
1. The CI starts running your scripts defined in [`.gitlab-ci.yml`](../../ci/yaml/README.md) and
   takes 5min (stop of **Test** stage).
1. Review merge request, ensure that everything is OK and merge the merge
   request at 19:00. (stop of **Review** stage / start of **Staging** stage).
1. Now that the merge request is merged, a deployment to the `production`
   environment starts and finishes at 19:30 (stop of **Staging** stage).

From the above example we see the time used for each stage:

- **Issue**: 2h (11:00 - 09:00)
- **Plan**: 1h (12:00 - 11:00)
- **Code**: 2h (14:00 - 12:00)
- **Test**: 5min
- **Review**: 5h (19:00 - 14:00)
- **Staging**: 30min (19:30 - 19:00)

More information:

- The above example specifies the issue number in a latter commit. The process
  still collects analytics data for that issue.
- The time required in the **Test** stage is not included in the overall time of
  the cycle. It is included in the **Review** process, as every MR should be
  tested.
- The example above illustrates only **one cycle** of the multiple stages. Value
  Stream Analytics, on its dashboard, shows the calculated median elapsed time
  for these issues.

## Permissions

The current permissions on the Project-level Value Stream Analytics dashboard are:

- Public projects - anyone can access.
- Internal projects - any authenticated user can access.
- Private projects - any member Guest and above can access.

You can [read more about permissions](../../user/permissions.md) in general.

## More resources

Learn more about Value Stream Analytics in the following resources:

- [Value Stream Analytics feature page](https://about.gitlab.com/stages-devops-lifecycle/value-stream-analytics/).
- [Value Stream Analytics feature preview](https://about.gitlab.com/blog/2016/09/16/feature-preview-introducing-cycle-analytics/).
- [Value Stream Analytics feature highlight](https://about.gitlab.com/blog/2016/09/21/cycle-analytics-feature-highlight/).