--- description: "Learn how long your open merge requests have spent in code review, and what distinguishes the longest-running." # Up to ~200 chars long. They will be displayed in Google Search snippets. It may help to write the page intro first, and then reuse it here. stage: Manage group: Optimize info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments --- # Code Review Analytics **(PREMIUM)** > - [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/38062) in GitLab 12.7. > - Moved to GitLab Premium in 13.9. Use Code Review Analytics to view the longest-running reviews among open merge requests, and: - Take action on individual merge requests. - Reduce overall cycle time. Code Review Analytics is available to users with at least the Reporter role, and displays a table of open merge requests that have at least one non-author comment. The review time is measured from the time the first non-author comment was submitted. NOTE: Initially, no data appears. Data is populated as users comment on open merge requests. ![Code Review Analytics](img/code_review_analytics_v13_11.png "List of code reviews; oldest review first.") The table is sorted by: - **Review time**: Helping you to quickly find the longest-running reviews which may need intervention or to be broken down into smaller parts. - Other columns: Display the author, approvers, comment count, and line change (-/+) counts. ## View Code Review Analytics To view Code Review Analytics: 1. On the top bar, select **Menu > Projects** and find your project. 1. On the left sidebar, select **Analytics > Code Review**. 1. Filter merge requests by milestone and label. ## Use cases This feature is designed for [development team leaders](https://about.gitlab.com/handbook/marketing/strategic-marketing/roles-personas/#delaney-development-team-lead) and others who want to understand broad code review dynamics, and identify patterns to explain them. You can use Code Review Analytics to: - Expose your team's unique challenges with code review. - Identify improvements that might substantially accelerate your development cycle. - Your team agrees that code review is moving too slow. - The [Value Stream Analytics feature](value_stream_analytics.md) shows that reviews are your team's most time-consuming step. - Analyze the patterns and trends of different types of work that are moving slow. For example: - Lots of comments or commits? Maybe the code is too complex. - A particular author is involved? Maybe more training is required. - Few comments and approvers? Maybe your team is understaffed.