What is Engineering Velocity?
Engineering velocity measures the rate at which an engineering team delivers value over time.
Engineering velocity measures the rate at which an engineering team delivers value over time. It is commonly tracked as story points per sprint, but this metric is deeply flawed because story points measure estimated effort, not actual value delivered.
True engineering velocity should measure: features shipped to customers, customer impact per engineering hour, revenue attributable to engineering output, and time from idea to production.
The distinction matters because teams can have high velocity (lots of story points completed) while producing little value (features nobody uses). Richard Ewing's APER (Annualized Productivity to Engineering Ratio) measures revenue per engineer, which is a more meaningful velocity metric.
Velocity is influenced by: team size and composition, technical debt burden (maintenance steals from feature work), process overhead (meetings, reviews, deployments), tool quality, and organizational complexity.
Why It Matters
Engineering velocity determines how quickly your product can respond to market changes. Low velocity means slow competitive response. But measuring velocity incorrectly (story points instead of value) creates a false sense of progress.
How to Measure
1. **DORA Metrics**: Deployment frequency, lead time, change failure rate, MTTR.
2. **APER**: Revenue per engineer (annualized).
3. **Feature Lead Time**: Days from idea to production.
4. **Value Velocity**: Customer impact per sprint.
Frequently Asked Questions
How do you measure engineering velocity?
Use DORA metrics (deployment frequency, lead time), APER (revenue per engineer), and feature lead time. Avoid relying solely on story points — they measure effort, not value.
What slows engineering velocity?
Technical debt (maintenance steals time), process overhead (too many meetings), poor tooling, organizational complexity, and unclear priorities.
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Richard Ewing is a Product Economist and AI Capital Auditor. He helps companies translate technical complexity into financial clarity.
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