engineering-metricslisted

# Engineering Metrics A practitioner framework for measuring software delivery performance, team health, and engineering productivity. Grounded in the DORA research program (*Accelerate*, Forsgren, Humble, Kim, 2018), the SPACE framework (Forsgren, Storey et al., 2021), and empirical findings from 39,000+ DevOps professionals. **Core principle: never use a single metric. Combine at least three dimensions, and always balance quantitative system telemetry with qualitative surveys.** --- ## The Measurement Hierarchy Not all metrics are equal. Use this hierarchy to guide which metrics to invest in first: 1. **DORA four key metrics** — validated predictors of organizational performance; start here 2. **SPACE framework** — multidimensional balance; prevents gaming any single dimension 3. **Cycle time breakdown** — where to find bottlenecks in your specific system 4. **OKR structure** — connect sprint metrics to business outcomes 5. **Anti-patterns to avoid** — what not to measure and why --- ## DORA Four Key Metrics The four key DevOps metrics from the DORA research program measure two dimensions of software delivery: **throughput** (Deployment Frequency, Lead Time) and **stability** (Change Failure Rate, Recovery Time). Elite teams achieve high throughput *and* high stability simultaneously — they are not trade-offs. ### 2024 Benchmarks | Metric | Elite | High | Medium | Low | |---|---|---|---|---| | **Deployment Frequency** | Multiple per day | Daily to weekly | Weekly