DORA Metrics Calculator
Answer 5 quick questions about your delivery and get a 0–100 performance score and your DORA level — Elite, High, Medium, or Low — instantly, in your browser. No exact numbers required.
What are DORA metrics?
DORA metrics are four research-backed measures of software delivery performance from the DORA / Accelerate program. Together they capture both throughput (how fast you ship) and stability (how safely you ship). This calculator adds release predictability and turns quick banded answers into a single delivery-performance score and DORA level.
- Deployment Frequency:How frequently code reaches production.
- Lead Time for Changes:Commit-to-production lead time.
- Time to Restore:Mean time to restore service after an incident.
- Change Failure Rate:Percentage of changes that fail in production.
- Release Predictability:Share of committed work delivered on schedule.
The calculator
0 of 5 answered
How the score is calculated
Each answer maps to a representative metric value and is scored on DORA-aligned thresholds (approximating Elite / High / Medium / Low). Lead time, time to restore, and change failure rate carry slightly more weight than deployment frequency and predictability, and the metrics combine into a single 0–100 delivery-performance score graded A (Elite) to F (Low). Unanswered metrics are left out rather than guessed, mirroring the ShipReady principle of never fabricating data.
Frequently asked questions
- What is a DORA metrics calculator?
- A DORA metrics calculator estimates your software delivery performance from the four DORA metrics — deployment frequency, lead time for changes, time to restore service, and change failure rate — plus release predictability. This one turns quick banded answers into a 0–100 delivery score and a DORA performance level (Elite, High, Medium, or Low).
- What are the four DORA metrics?
- Deployment Frequency (how often you deploy to production), Lead Time for Changes (commit to production), Time to Restore (how quickly you recover from incidents), and Change Failure Rate (the share of changes that cause a failure). They come from the DORA / Accelerate research on software delivery performance.
- How is the DORA score calculated?
- Each answer maps to a representative metric value and is scored on DORA-aligned thresholds (approximating Elite/High/Medium/Low). Lead time, time to restore, and change failure rate carry slightly more weight, and the metrics combine into a single 0–100 delivery-performance score graded A–F. Unanswered metrics are omitted rather than guessed.
- Is the calculator anonymous?
- Yes. It runs entirely in your browser and requires no signup. Nothing is sent anywhere unless you choose to enter your email to receive a detailed breakdown.
- What is a good DORA score?
- Elite performers deploy on demand, have lead times and recovery under a day, and a low change failure rate. In this tool, 90+ maps to Elite, 75–89 to High, 60–74 to Medium, and below that to Low. Most teams have one or two metrics dragging the rest down — usually time to restore or change failure rate.
- How do I improve my DORA metrics?
- Start with your weakest metric. Common high-leverage moves: smaller batches and trunk-based development for frequency and lead time; better observability, runbooks, and automated rollback for time to restore; and progressive delivery plus stronger tests for change failure rate.
Glossary
- DORA metrics
- Four research-backed measures of software delivery performance — deployment frequency, lead time for changes, time to restore service, and change failure rate.
- Deployment frequency
- How often an organization successfully releases to production — from on-demand (multiple times a day) down to less than monthly.
- Lead time for changes
- The time from a change being committed to it running in production — a measure of delivery speed.
- Change failure rate
- The percentage of deployments to production that cause a failure requiring remediation (a hotfix, rollback, or patch).