DORA Metrics Calculator
Calculate your DORA metrics performance tier. Input your deployment frequency, lead time, MTTR, and change failure rate to see how you compare to elite teams.
33% of engineering leaders say they don't know their team's DORA metrics—despite DORA being the industry standard for measuring software delivery performance. This free calculator helps you assess your team's performance level in under 2 minutes.
Our Take
DORA metrics are signals, not goals. Microsoft abandoned DORA as a performance metric after teams started gaming the numbers.
The original research identified what elite teams do, not how they got there. Goodhart's Law applies: when a measure becomes a target, it ceases to be a good measure. Use these metrics to identify bottlenecks and track improvement—not to judge your team or chase arbitrary benchmarks.
"Elite performers deploy 973x more frequently than low performers, with 6,570x faster lead times and 3x lower change failure rates."
— Google DORA State of DevOps Report, 2023
Enter Your Metrics
Enter at least one metric above to see your DORA performance tier.
How to Use This Calculator
Gather your data
Pull deployment logs from your CI/CD system, incident reports from your on-call rotation, and merge timestamps from your version control. Use the last 30-90 days for accurate representation.
Enter your metrics
Fill in whatever metrics you have—the calculator works with partial data. Start with deployment frequency and lead time, as these are easiest to measure from CI/CD logs.
Interpret the results
Your tier indicates where you fall compared to industry benchmarks. Focus on the lowest-performing metric first—improving your weakest area typically yields the biggest gains.
Example: A team deploying 5 times per week (0.71/day) with 3-day lead times, 4-hour MTTR, and 8% change failure rate would be classified as High performers—better than most, but with room to improve on lead time.
DORA Performance Benchmarks
| Metric | Elite | High | Medium | Low |
|---|---|---|---|---|
| Deployment Frequency | Multiple per day | Weekly to daily | Monthly to weekly | Less than monthly |
| Lead Time for Changes | Less than 1 hour | 1 day to 1 week | 1 week to 1 month | More than 1 month |
| Mean Time to Recovery | Less than 1 hour | Less than 1 day | Less than 1 week | More than 1 week |
| Change Failure Rate | 0-5% | 5-10% | 10-15% | More than 15% |
Source: Google DORA State of DevOps Report 2023 · Based on 32,000+ professionals across 7 years of research
Next Steps to Improve
- Establish a baseline. Measure your current DORA metrics over 30 days before making changes. You can't improve what you don't measure.
- Reduce batch size. Smaller PRs and more frequent deploys naturally improve both lead time and change failure rate. Aim for PRs under 200 lines.
- Automate your pipeline. Manual deployment steps are the #1 bottleneck for most teams. CI/CD automation directly improves deployment frequency.
- Invest in observability. You can't recover quickly from incidents you can't detect. Monitoring and alerting infrastructure is the foundation of low MTTR.
Frequently Asked Questions
About DORA Metrics
DORA (DevOps Research and Assessment) metrics are the gold standard for measuring software delivery performance. Based on research by Google's DORA team across thousands of organizations, these four key metrics predict both organizational performance and team wellbeing.
How often you ship to production
Time from commit to production
How quickly you restore service
% of changes causing problems
Want to track this automatically?
CodePulse connects to your GitHub and calculates these metrics in real-time. No more manual data entry or spreadsheets.
Free tier available. No credit card required.
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