Engineering metrics

Start with a decision

An engineering metric earns its place when it helps a team decide what to do next. A release team might need to know whether work is delayed in review. A platform team might need to know whether build failures are consuming developer time. Naming the decision first prevents a dashboard from becoming a collection of attractive but unused charts.

Define the measurement

Write down the event that starts and ends the measurement, the population included, and the period used for comparison. Cycle time can start at the first commit, the first pull request, or the moment a ticket enters development. Those are different metrics. Keep the definition visible beside the chart.

Use a set of signals

Pair delivery measures with quality, reliability, and developer experience evidence. A faster merge time might reflect smaller changes, fewer reviewers, or rushed review. A higher deployment frequency might be healthy continuous delivery or a run of low-risk configuration updates. The surrounding facts determine the interpretation.

Read trends with care

Compare similar repositories and work types, and show a distribution when averages hide important variation. Weave can help an engineering team move from a metric change to the pull requests, review queues, and ownership patterns that explain it. Metrics are evidence for a conversation, not a verdict about an individual.