60 lines
2.7 KiB
Markdown
60 lines
2.7 KiB
Markdown
---
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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.
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stage: Manage
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group: Value Stream Management
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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/#designated-technical-writers
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---
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# Code Review Analytics **(STARTER)**
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> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/38062) in [GitLab Starter](https://about.gitlab.com/pricing/) 12.7.
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Code Review Analytics makes it easy to view the longest-running reviews among open merge requests and
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enables you to:
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1. Take action on individual merge requests.
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1. Reduce overall cycle time.
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NOTE: **Note:**
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Initially, no data appears. Data is populated as users comment on open merge requests.
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## Overview
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Code Review Analytics 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.
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To access Code Review Analytics, from your project's menu, go to **Project Analytics > Code Review**.
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You can filter the list of merge requests by milestone and label.
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![Code Review Analytics](img/code_review_analytics_v12_8.png "List of code reviews; oldest review first.")
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The table is sorted by:
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- **Review time**: Helping you to quickly find the longest-running reviews which may need intervention
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or to be broken down into smaller parts.
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- Other columns: Display the author, approvers, comment count, and line change (-/+) counts.
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## Use cases
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This feature is designed for [development team leaders](https://about.gitlab.com/handbook/marketing/product-marketing/roles-personas/#delaney-development-team-lead)
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and others who want to understand broad code review dynamics, and identify patterns to explain them.
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You can use Code Review Analytics to:
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- Expose your team's unique challenges with code review.
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- Identify improvements that might substantially accelerate your development cycle.
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- Your team agrees that code review is moving too slow.
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- The [Value Stream Analytics feature](value_stream_analytics.md) shows that reviews are your team's most time-consuming step.
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- Analyze the patterns and trends of different types of work that are moving slow.
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For example:
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- Lots of comments or commits? Maybe the code is too complex.
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- A particular author is involved? Maybe more training is required.
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- Few comments and approvers? Maybe your team is understaffed.
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## Permissions
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- On [Starter or Bronze tier](https://about.gitlab.com/pricing/) and above.
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- By users with Reporter access and above.
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