Engineering Metrics
Engineering metrics are measures that help a software team understand how it delivers, operates, and improves software. They reveal system behavior over time; they are not a productivity score for individual engineers.
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Intro
Engineering Metrics
Engineering metrics help a team see how its delivery system behaves. They turn a vague question, such as "Are changes getting safer and easier to deliver?", into evidence that the people doing the work can inspect together.
The useful unit is the system that produces software: the application or service, its delivery path, and the team responsible for it. A metric is not a ranking tool for individual engineers. It is a prompt for a conversation about constraints, trade-offs, and the next experiment.
Start with the decision
Do not collect a number because a dashboard can display it. Start with a decision:
- Where does a change wait before it reaches production?
- Did a release process change reduce recovery time?
- Are production failures creating unplanned work?
- Is a team making progress while remaining healthy and able to collaborate?
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Sources
- https://dora.dev/guides/dora-metrics/
Supports
- DORA delivery performance as throughput and instability
- Definitions of change lead time, deployment frequency, failed deployment recovery time, change fail rate, and deployment rework rate
- DORA guidance that speed and stability are not inherently a trade-off
- Service-level use, trend interpretation, and quizzes 1 through 4, 6, and 7
- The first reference-link rationale
- https://www.microsoft.com/en-us/research/publication/the-space-of-developer-productivity-theres-more-to-it-than-you-think/
Supports
- SPACE dimensions: satisfaction and well-being, performance, activity, communication and collaboration, and efficiency and flow
- Developer productivity as multidimensional rather than one metric or dimension
- Activity signals as an incomplete view of productivity
- Quizzes 1, 5, and 7 and the third reference-link rationale
