Feature flag staged release pipeline
This feature-flag staged release flowchart gives a release team a concrete sequence for exposing a new production capability safely. The code reaches production while disabled, then progresses through internal users, a 5% customer cohort, a 50% cohort, and finally all users. Each stage has a clear outcome rather than an implied handoff.
Open it in the AI editor with a prompt pre-filled — keep what works, change what doesn't.
Scenario
A product and platform team releases a customer-facing feature behind a flag so exposure can increase only after observed behavior is acceptable.
Key decisions
- Flag-disabled deploy: Production deployment is separated from customer exposure, allowing internal validation first.
- Internal validation: Internal users are the first cohort and can find functional issues without customer impact.
- Guardrail check: Errors and conversion are monitored together so technical reliability and product outcomes both matter.
- 50% review: A human release decision precedes broad availability instead of making rollout fully automatic.
When to reuse this
Use this for a reversible feature flag with measurable customer outcomes. Replace the cohort percentages and guardrails with the limits appropriate to your release policy.
Frequently asked questions
Why deploy with the feature disabled?
Which metrics are monitored at 5%?
What happens when a guardrail fails?
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