You're probably measuring DORA change failure rate wrong

Overview
You're probably measuring DORA change failure rate wrong is a blog post that explains the common pitfalls when tracking the DORA change failure rate metric and provides practical guidance on how to collect accurate data and interpret the results.

Key Takeaways

• Define what constitutes a failed change in your organization before you start measuring.
• Ensure that your CI/CD tooling reliably reports deployment outcomes and rollback events.
• Use a consistent time window and include all production changes, not just releases.
• Correlate change failure rate with other DORA metrics (lead time, deployment frequency, MTTR) to get a holistic view of performance.

Who Would Benefit

• Engineering managers who need reliable data for performance reviews.
• Site reliability engineers responsible for release monitoring.
• Leaders implementing DevOps transformations.
• Teams adopting DORA metrics to improve delivery speed and quality.

Frameworks and Methodologies

• DORA Metrics (Change Failure Rate, Deployment Frequency, Lead Time for Changes, MTTR)
• DevOps measurement frameworks
• Continuous Delivery best practices