Start with these five checks.
- Choose one delivery unit and consistent timestamps.
- Measure active, waiting and rework time.
- Segment service, risk and change type.
- Connect deployments to incidents and rollbacks.
- Identify the queue that constrains completed value.
Ask for only what can change the answer.
- CodeCommit, pull request and ownership
- ReviewRequest, approval and rework
- CIBuild, test and flaky failure
- EnvironmentProvision, queue and availability
- DeploymentApproval, release and rollback
- ReliabilityIncident, severity and recovery
Test one reversible move.
Select one high-volume, low-risk workflow and the largest verified queue. Change one rule—parallel tests, automated environment setup or pre-approved deployment class—for a limited service. Compare lead time, rework, change failure and recovery; restore the prior path immediately if reliability degrades.
A decision your team can use.
- 01A commit-to-production timeline
- 02Queue and rework decomposition
- 03DORA-aligned baseline
- 04A guarded delivery experiment
Common questions.
Which metrics should we start with?
Deployment frequency, lead time, change failure rate and recovery time are useful when segmented by service and risk.
Can repository data answer this alone?
Usually not. CI/CD, environments, deployment and incident events are required.
Should teams be ranked?
No. Use the measures to improve the system; rankings encourage gaming and ignore context.