Guide
Engineering metrics that matter (and the ones that don't)
Track a small set of team-level metrics: deployment frequency, lead time for changes, change failure rate and time to restore, plus one customer-facing reliability measure. Never measure individual engineers by commits, lines or story points — those numbers are trivially gamed and destroy trust.
6 min read · Updated 2026-08-06
What engineering metrics should a startup track?
Start with the four DORA delivery metrics plus one reliability measure your customers would recognise. Five numbers, reviewed monthly, will tell you more than a dashboard of thirty.
| Metric | What it tells you | A healthy early-stage target |
|---|---|---|
| Deployment frequency | Batch size and confidence in the pipeline | Daily or better |
| Lead time for changes | Friction between idea and production | Under a day for a small change |
| Change failure rate | Whether speed is costing you quality | Under 15% |
| Time to restore service | Operational maturity | Under an hour |
| Customer-visible availability | What users actually experience | Agreed with the business, then met |
Why shouldn't you measure individual developer productivity?
Individual output metrics measure the visible part of a collaborative job and punish the invisible parts — review, mentoring, deleting code, preventing work. Once a number affects someone's rating, it stops describing reality.
- Lines of code rewards verbosity and punishes deletion.
- Commit counts reward noise.
- Story points are an estimation aid, not a unit of value.
- Ticket throughput rewards splitting work rather than finishing it.
How do you measure engineering quality?
Measure escaped defects and their cost, not test coverage percentage. Coverage tells you what was executed; escaped defects tell you what your customers had to live with.
- Defects reported by customers per release.
- Percentage of incidents caused by a change made in the last 24 hours.
- Time spent on unplanned work as a share of the sprint.
- Flaky test rate — a leading indicator that the suite is about to be ignored.
How should you review engineering metrics with the team?
Review them monthly, with the team present, as inputs to a conversation rather than as a verdict. The useful question is always 'what changed and what should we try', never 'who is responsible for this line going down'.
Frequently asked questions
- What are the DORA metrics?
- Four measures of software delivery performance from the DevOps Research and Assessment program: deployment frequency, lead time for changes, change failure rate, and time to restore service.
- Is velocity a useful engineering metric?
- Only inside one team, for their own planning, and only as a trend. Comparing velocity between teams is meaningless because points are not a shared unit.
- How many engineering metrics should you track?
- Roughly five. Enough to see delivery, quality and reliability; few enough that everyone on the team can recite them.
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