• Analytics features
  • End-to-end insight & visibility analytics
  • Productivity analytics
  • Developer analytics
  • CI/CD analytics
  • Security analytics
• Glossary

Analyze GitLab usage

GitLab provides different types of analytics insights at the instance, group, and project level. These insights appear on the left sidebar, under Analyze.

Analytics features

End-to-end insight & visibility analytics

Use these features to gain insights into your overall software development lifecycle.

Feature	Description	Project-level	Group-level	Instance-level
Value Streams Dashboard	Insights into DevSecOps trends, patterns, and opportunities for digital transformation improvements.	Yes	Yes	No
Value Stream Management Analytics	Insights into time-to-value through customizable stages.	Yes	Yes	No
DevOps adoption by group and by instance	Organization’s maturity in DevOps adoption, with feature adoption over time and feature distribution by group.	No	Yes	Yes
Usage trends	Overview of instance data and changes in data volume over time.	No	No	Yes
Instance-level analytics	Aggregated analytics across GitLab about multiple projects and groups in one place.	No	No	Yes
Insights	Customizable reports to explore issues, merged merge requests, and triage hygiene.	Yes	Yes	No
Product analytics	Understanding how users behave and interact with your product.	No	Yes	No
Analytics dashboards	Built-in and customizable dashboards to visualize collected data.	Yes	Yes	No

Productivity analytics

Use these features to gain insights into the productivity of your team on issues and merge requests.

Feature	Description	Project-level	Group-level	Instance-level
Issue analytics	Visualization of issues created each month.	Yes	Yes	No
Merge request analytics	Overview of merge requests, with mean time to merge, throughput, and activity details.	Yes	No	No
Productivity analytics	Merge request lifecycle, filterable down to author level.	No	Yes	No
Code review analytics	Open merge requests with information about merge request activity.	Yes	No	No

Developer analytics

Use these features to gain insights into developer productivity and code coverage.

Feature	Description	Project-level	Group-level	Instance-level
Contribution analytics	Overview of contribution events made by group members, with bar chart of push events, merge requests, and issues.	No	Yes	No
Contributor analytics	Overview of commits made by project members, with line chart of number of commits.	Yes	No	No
Repository analytics	Programming languages used in the repository and code coverage statistics.	Yes	Yes	No

CI/CD analytics

Use these features to gain insights into CI/CD performance.

Feature	Description	Project-level	Group-level	Instance-level
CI/CD analytics	Pipeline duration and successes/failures.	Yes	Yes	No
DORA metrics	DORA metrics over time.	Yes	Yes	No

Security analytics

Use these features to gain insights into security vulnerabilities and metrics.

Feature	Description	Project-level	Group-level	Instance-level
Security Dashboards	Collection of metrics, ratings, and charts for vulnerabilities detected by security scanners.	Yes	Yes	No

Glossary

Metric	Definition	Measurement in GitLab
Mean Time to Change (MTTC)	The average duration between idea and delivery.	From issue creation to the issue’s latest related merge request’s deployment to production.
Mean Time to Detect (MTTD)	The average duration that a bug goes undetected in production.	From deployment of bug to issue creation.
Mean Time To Merge (MTTM)	The average lifespan of a merge request.	From merge request creation to merge request merge (excluding closed and unmerged merge requests). For more information, see Merge Request Analytics.
Mean Time to Recover/Repair/Resolution/Resolve/Restore (MTTR)	The average duration that a bug is not fixed in production.	From deployment of bug to deployment of fix.
Velocity	The total issue burden completed in some period of time. The burden is usually measured in points or weight, often per sprint.	Total points or weight of issues closed in a given period of time. Expressed as, for example, “30 points per sprint”.