What it means
Agile metrics selection chooses a small set of measures that support decisions about value, flow, quality, predictability, learning, risk, and sustainability.
Why it matters
Metrics become harmful when they reward local activity, are used without context, or turn estimates into targets that teams can game.
Practical focus
- Start with the decision or question the measure must support.
- Balance leading and lagging indicators across outcome, flow, quality, and team health.
- Review unintended behavior and retire measures that no longer improve decisions.
- Retain the approved definitions, assumptions, decisions, ownership, exceptions, measures, and change history that demonstrate how Agile Metrics Selection operates in real project work.
- Exercise this failure scenario: A velocity target rises each quarter, so teams split and re-estimate work to satisfy the number without delivering more value.
Common mistakes
- Using Agile Metrics Selection as a label without defining its scope, owner, decision criteria, and expected evidence.
- Treating a template, meeting, tool screen, or status report as proof that Agile Metrics Selection works consistently in normal delivery.
- Optimizing a single activity while ignoring dependencies, incentives, risk transfer, and the end-to-end outcome.
- Testing only the expected path and never rehearsing this failure condition: A velocity target rises each quarter, so teams split and re-estimate work to satisfy the number without delivering more value.
Certification relevance
This subject appears in or supports the following certification bodies of knowledge: