doc/user/analytics/code_review_analytics.md


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---
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.

NOTE:
Initially, no data appears. Data is populated as users comment on open merge requests.

## Overview

Code Review Analytics is available to users with Reporter access and above, 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.

To access Code Review Analytics, from your project's menu, go to **Project Analytics > Code Review**.

You can filter the list of merge requests by milestone and label.

![Code Review Analytics](img/code_review_analytics_v12_8.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.

## 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.