Software Engineering Team Metrics

Streamline your software engineering with Cycle Time Metrics insights from Hatica. Identify bottlenecks and improve your development cycle.

Track sprint performance: Compare promised vs. delivered efforts, issues, or story points. Identify planning issues for improved efficiency.

See the distribution of effort (based on issues/ story points as per selection) based on the type of issue including bugs, incidents, and stories.

Unlock success with DORA Metrics: Measure deployment frequency, change failure rate, cycle time, and MTTR for elite software performance.

A Coding day is any day when an engineer commits code.

When PRs are merged without a review, it gets counted under this metric. Unreviewed PRs can be detrimental. Read all about this metric here.

This metric gives the average size of the PR (or LoC changes).

This metric counts the total lines of code contributed.

The count (story points or number of issues/tasks based on selection) of Incidents resolved and their breakdown by priority is presented in this metric.

This section gives critical metrics on code quality, and the overall productivity of the work being committed - code churn, productive throughput, and efficiency metrics.

This represents the distribution of tasks/issues completed that were planned vs unplanned.

This metric shows the average number of hours of maker time (focus time that is spent on work without distractions like meetings, etc) by the user or the team.

Code that is edited within 21 days of its first merge is called Code churn. Read more about what it is, and what it means to your engineering teams.