Pull Request Labels Insight
The PR Labels insight provides a comprehensive analysis of labels used across PRs over a selected time frame. By uncovering all labels and identifying their usage ratio, this insight helps you understand labeling habits and optimize your development data ecosystem.
Streamline Development Data Organization
with the
Pull Request Labels Insight
The PR Labels insight provides a comprehensive analysis of labels used across PRs over a selected time frame. By uncovering all labels and identifying their usage ratio, this insight helps you understand labeling habits and optimize your development data ecosystem.
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Keypup is extremely flexible in its reporting. Once you get your raw data connected, there is almost nothing it can't do. There is a wealth of tables, charts and other reports available. As Director of a software development team, I use Keypup to report on our work efficiencies to senior managment. Keypup makes this task very simple to produce each week.”
Key PR Labels Insight Benefits
Identify Labeling Patterns and Usage
- Explore all labels used in pull requests and their frequency of use
- Gain insights into how labels are used individually and in combination with each other
- Understand the impact of over-labeling on your data ecosystem as well as users label adoption
Adjust Your Engineering Dashboards and Metrics
- Map labels to your existing dashboards and insights for better data consolidation
- Group labels with similar purposes under the same filter to streamline analysis
- Implement labeling standards and best practices for future internal projects
Standardize Your Engineering Data
- Update the list of available labels in your GitHub, GitLab, and/or Bitbucket repositories to align with naming convention standards
- Replace unconventional labels with standard ones for improved clarity, consistency, and adoption
- Ensure your software development data is clean, organized, and easy to query and interpret
How the PR Labels Insight Works
- Connect your apps and projects: Connect your apps and select your repos to gather data to Keypup.
- Adjust the time frame: Choose the desired period for your analysis (e.g., 12 months).
- Access the Pull Request Labels insight: Explore the complete list of labels used to discover how your team is using them.
- Optimize your data ecosystem: Analyze labeling patterns and take action to refine and cleanse your data. Then, implement your strategy for a standardized approach.
Optimize Your Data Organization
Uncover labeling habits, streamline your data ecosystem, and enhance your development processes with the Pull Request Labeling insight from Keypup. Sign up today to gain valuable information about your engineering organization labeling practices and take control of your software development data.