Customer experience is a key metric. Users want to measure platform stability and other
post-deployment performance KPIs, and set targets for customer behavior, experience, and financial
impact. Tracking and measuring these indicators solves an important pain point. Similarly, creating
views that manage products, not projects or repos, provides users with a more relevant data set.
Since GitLab is a tool for the entire DevOps life-cycle, information from different workflows is
integrated and can be used to measure the success of the teams.
The DevOps Research and Assessment ([DORA](https://cloud.google.com/blog/products/devops-sre/the-2019-accelerate-state-of-devops-elite-performance-productivity-and-scaling))
team developed four key metrics that the industry has widely adopted. You can use these metrics as
performance indicators for software development teams:
- Deployment frequency: How often an organization successfully releases to production.
- Lead time for changes: The amount of time it takes for code to reach production.
- Change failure rate: The percentage of deployments that cause a failure in production.
- Time to restore service: How long it takes an organization to recover from a failure in
production.
GitLab plans to add support for all the DORA4 metrics at the project and group levels. GitLab added
the first metric, deployment frequency, at the project level for [CI/CD charts](ci_cd_analytics.md#deployment-frequency-charts)
and the [API](../../api/project_analytics.md).
## Deployment frequency charts **(ULTIMATE)**
> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/275991) in GitLab 13.8.
