DORA metrics are four measurements of software delivery performance defined by the DevOps Research and Assessment group: deployment frequency, lead time for changes, change failure rate, and mean time to recovery. They originated as research findings and were later adopted as a benchmarking framework for engineering organizations.
DORA metrics measure throughput and stability. They do not measure coordination cost, handoff quality, or decision latency. A team can hit elite DORA targets while still losing two hours every morning reconstructing what happened overnight.
The limit of DORA is that it treats engineering as a delivery pipeline. It rewards teams that ship often and recover fast. It is silent on whether the team can answer a question without paging someone, or whether decisions stall when an owner is offline.
Why DORA metrics Matters for Distributed Teams
DORA is useful for benchmarking pipelines. It is not useful for diagnosing coordination failure. Distributed teams that obsess over DORA often miss the fact that their slowest step is not deployment — it is the 24-hour wait for a reviewer in another timezone.
Treating DORA as the only scoreboard leads to surveillance metrics: counting commits, measuring PR cycle time, and inferring productivity from activity. None of these capture whether the team is operationally continuous across shifts.
Frequently Asked Questions
What are DORA metrics?
DORA metrics are four measurements of software delivery performance: deployment frequency, lead time for changes, change failure rate, and mean time to recovery. They benchmark throughput and stability of the delivery pipeline.
What do DORA metrics not measure?
DORA metrics do not measure coordination cost, handoff quality, decision latency, or the experience of distributed work. A team can hit elite DORA numbers and still waste hours each morning reconstructing what happened overnight.
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StandIn is built around these concepts. Engineers publish declared state before going offline. The next shift starts with full context.