Engineering metrics

Improve team performance and product quality by cultivating a culture of continuous improvement, tracking progress with industry benchmarks and DORA metrics, and identifying and removing workflow bottlenecks and blind spots through data-driven decision-making.

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Pull request cycle time

Pull request cycle time is a crucial engineering metric that reveals hidden patterns and behaviors in your team. By measuring and analyzing it, you can gauge your team's efficiency, collaboration, and overall performance. Improving your pull request cycle time can lead to higher quality and velocity, driving better outcomes for your team.

Acumen Pull request cycle time
Acumen Mean time to resolve (MTTR)

Mean time to resolve (MTTR)

Mean time to resolve (MTTR) measures the time it takes to resolve a bug or incident from the moment it's reported. As one of the most critical quality metrics, MTTR has a direct impact on your service level agreements (SLAs) and customer experience. Improving your MTTR can help you provide faster and more reliable service, enhancing customer satisfaction and loyalty.

Defect density

Defect density is a crucial metric that measures the ratio of bugs detected to work done, providing a normalized view of quality. It's particularly useful for engineering teams working on complex products where team size and velocity can vary. By analyzing defect density, you can gain valuable insights into your team's performance and improve your overall quality.

Acumen Defect density

Looking for custom charts? We have got you covered! Our platform offers support for a wide range of 50+ different metrics and charts, including but not limited to defect density, commit classification, line-of-code to tasks traceability, which can aid you in achieving your SOC-2 compliance, and many more.

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