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17 popular software engineering metrics, and how to game them

Shows how metrics like OKRs, Story Points, Diff Delta, Change Coupling and Google DORA can deliver business value while staying resistant to gaming, with concrete steps to adopt and monitor them.

The piece starts by confronting the measurement paradox: what gets measured improves, yet once a measure becomes a target it loses usefulness. It argues that this tension does not mean metrics are useless, but that leaders must choose metrics that remain informative even when teams try to game them.

OKR-driven metrics are presented as the least gameable because they tie directly to business outcomes. The article notes that OKRs can be time-consuming to craft and may include targets beyond developers' control, but when aligned carefully they drive profit and strategic goals. Leaders can adopt them via internal dashboards, services like WeekDone, or by reading "Measure What Matters" and consulting OKR experts.

Story Points and the newer Diff Delta metric are examined next. Story Points translate effort into a common unit that can be tied to cost estimates, helping prioritize work. Diff Delta measures how much a repository evolves, rewarding work that reduces technical debt as well as feature development. Both metrics include practical advice on where to find them-in Jira, GitClear's free tier, or other analytics tools-and describe tactics to prevent gaming, such as planning poker and self-assignment of tickets.

Change coupling is introduced as a diagnostic metric that flags files that co-evolve, highlighting hidden technical debt. The article recommends Codescene or GitClear's Tech Debt Browser to surface these couplings. Finally, the Google DORA suite (lead time, deployment frequency, change failure rate, MTTR) is positioned as a benchmark for elite DevOps performance, with guidance on the CI/CD capabilities required to achieve elite thresholds.

Overall the resource delivers a concrete playbook: pick metrics that meet business value, measurability, actionability, accessibility, and empirical support; understand how they can be gamed; and know the tools to collect them. Technical leaders gain a clear set of metrics that drive performance without sacrificing code health.

Source: gitclear.com
#software-metrics#engineering-management#team-performance#technical-debt#process-inefficiencies#leadership

Problems this helps solve:

Team performanceProcess inefficienciesTechnical debtDecision-making

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