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DORA Metrics Calculator

Score your engineering team against the four DORA performance tiers.

Live widget · client-side · no data leaves your browser.

What this measures

The four DORA metrics are the industry-standard measures of software delivery performance, derived from the State of DevOps reports. Deployment frequency captures how often code reaches production. Lead time for changes measures how long it takes a commit to land in front of users. Change failure rate counts what fraction of deployments cause incidents or rollbacks. Mean time to recovery (MTTR) tracks how quickly service is restored after a failure. Together they balance delivery speed against stability, and they map onto four broad performance tiers — Elite, High, Medium, Low — that you can benchmark against publicly reported industry data.

When to use it

  • 1.Setting a baseline before a CI/CD or platform-engineering investment, so you can measure the lift later.
  • 2.Pitching an engineering investment to the board or CEO with a defensible benchmark.
  • 3.Comparing two teams (or your team vs an acquired team) on the same scale during an integration.
  • 4.Sanity-checking a vendor demo that promises "10× DORA improvement" before signing.

How it works

Each metric is binned into one of four tiers based on the State of DevOps thresholds (elite ≥ multiple deploys/day, lead time < 1 hour, change failure rate ≤ 15%, MTTR < 1 hour; lower tiers relax each accordingly). Each metric earns 1-4 points. The widget averages the four scores and maps the result back onto the same Elite/High/Medium/Low tier names — so a team that is Elite on deploy frequency but Low on change failure rate ends up in the Medium band overall. The output is intentionally directional, not precise to the percent.

Source: State of DevOps reports (Google Cloud / Puppet / DORA, 2014-2024) and the canonical Accelerate framework (Forsgren, Humble, Kim).

For engineering bloggers & site owners

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Frequently asked questions

What are the four DORA metrics?+

Deployment frequency (how often code reaches production), lead time for changes (commit to production), change failure rate (% of deployments causing incidents), and mean time to recovery (how fast you restore service after a failure). Two speed metrics, two stability metrics.

What is a good DORA score?+

Elite teams deploy on demand, ship in under an hour, fail less than 15% of the time, and recover within an hour. High performers ship weekly to monthly, in under a day, with similar stability. Medium and Low tiers relax both speed and stability. Most teams that have not invested in CI/CD land in Medium.

How do you improve DORA metrics without burning out the team?+

Improvements tend to compound: investing in CI/CD automation, trunk-based development, and feature flags reduces both lead time and change failure rate simultaneously. Avoid optimising a single metric in isolation — Goodhart's Law applies. Teams that chase deployment frequency at the expense of CFR ship more, but break more.

Can I embed this DORA calculator on my own site?+

Yes. Hit the "Get embed code" link below — you'll get a copy-paste iframe snippet with theme and UTM-source options. Free for commercial and non-commercial sites; the only ask is the small "Powered by The Art of CTO" attribution stays visible.

Want the full version?

The widget above is the quick check. The full Engineering Metrics Dashboard tool has more inputs, richer output (anti-pattern detection, contextual benchmarks, Excel export), and integrates with your Command Center workspace.

Open the full Engineering Metrics Dashboard