●  Free tool

How healthy is your delivery?

Rate your software delivery against the four DORA metrics — the most validated read of engineering performance. Four questions, about a minute.

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Metric 1 of 4 · Throughput

How often do you deploy to production?

Metric 2 of 4 · Throughput

From code committed to running in production, how long?

Metric 3 of 4 · Stability

What share of deployments cause a failure that needs a fix or rollback?

Metric 4 of 4 · Stability

When a change fails in production, how long to restore service?

0 of 4 answered

MetricYour answer maps to

This is exactly what we baseline first.

We start every delivery engagement with a DORA baseline on your own data — not a survey, not industry benchmarks — then move one metric with a named mechanism in 90 days.

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What the four DORA metrics measure

DORA (the DevOps Research and Assessment programme) found four metrics that, together, are the most validated read of software delivery performance. Two measure throughput — deployment frequency and lead time for changes — and two measure stability — change failure rate and time to restore service. Strong teams are good at both; speed without stability, or vice versa, is the common trap. For how this sits underneath AI and digital programmes, see the delivery layer underneath AI and our agile engineering and delivery practice.

Common questions

What are DORA metrics?

The four delivery metrics from the DORA research programme: deployment frequency, lead time for changes, change failure rate, and time to restore service. Together they are the most validated read of software delivery performance.

What is a good deployment frequency?

Elite teams deploy on demand, often multiple times a day; high performers between once a day and once a week. But frequency only counts alongside stability — deploying often while breaking production is not high performance.

How is software delivery performance measured?

Baseline the four DORA metrics on your own pipeline data, map where lead time is actually lost stage by stage, then move one metric with a named mechanism. Industry benchmarks are a reference, not a target — your own trend line is what matters.

Is this assessment accurate?

It is a fast self-rating to show roughly where you sit, not a measurement. The real read comes from instrumenting your pipeline. Treat the result as a conversation starter, not a verdict.