FeatureFlagRollout [pattern] v1.0.0

A staged rollout strategy using feature flags to release new UI features to incrementally larger user segments — starting with internal users, then a small percentage of real users, then full rollout — with a kill switch to disable at any stage.

Label

Progressive Feature Flag Rollout

Use When

• Shipping a major UI change (navigation restructure, new onboarding flow, redesigned component)
• Testing a new feature with a subset of users before committing to full rollout
• Deploying a change that cannot be fully tested in staging (requires production data or traffic patterns)

Stages

• • Stage: 1 — Internal
  • Audience: Team members and internal employees only (0.1% of users)
  • Purpose: Catch obvious bugs and regressions before any external exposure
  • Duration: 1–3 days
• • Stage: 2 — Canary
  • Audience: 1–5% of production users, randomly sampled
  • Purpose: Measure real-world performance, error rates, and core interaction metrics
  • Duration: 3–7 days
• • Stage: 3 — Beta
  • Audience: 10–25% of production users
  • Purpose: Collect qualitative feedback and confirm metrics at scale
  • Duration: 1–2 weeks
• • Stage: 4 — General Availability
  • Audience: 100% of production users
  • Purpose: Full rollout — flag removed from code in next sprint

Kill Switch

The feature flag must have a runtime kill switch that can disable the feature within 5 minutes of detection without a code deploy.

Cleanup

Remove the feature flag from the codebase within 2 sprints of reaching 100% rollout. Dead flags accumulate and become unmaintainable.

FeatureFlagRollout [pattern] v1.0.0

A staged rollout strategy using feature flags to release new UI features to incrementally larger user segments — starting with internal users, then a small percentage of real users, then full rollout — with a kill switch to disable at any stage.

Label

Progressive Feature Flag Rollout

Use When

• Shipping a major UI change (navigation restructure, new onboarding flow, redesigned component)
• Testing a new feature with a subset of users before committing to full rollout
• Deploying a change that cannot be fully tested in staging (requires production data or traffic patterns)

Stages

• • Stage: 1 — Internal
  • Audience: Team members and internal employees only (0.1% of users)
  • Purpose: Catch obvious bugs and regressions before any external exposure
  • Duration: 1–3 days
• • Stage: 2 — Canary
  • Audience: 1–5% of production users, randomly sampled
  • Purpose: Measure real-world performance, error rates, and core interaction metrics
  • Duration: 3–7 days
• • Stage: 3 — Beta
  • Audience: 10–25% of production users
  • Purpose: Collect qualitative feedback and confirm metrics at scale
  • Duration: 1–2 weeks
• • Stage: 4 — General Availability
  • Audience: 100% of production users
  • Purpose: Full rollout — flag removed from code in next sprint

Kill Switch

The feature flag must have a runtime kill switch that can disable the feature within 5 minutes of detection without a code deploy.

Cleanup

Remove the feature flag from the codebase within 2 sprints of reaching 100% rollout. Dead flags accumulate and become unmaintainable.

Label

Progressive Feature Flag Rollout

Use When

• Shipping a major UI change (navigation restructure, new onboarding flow, redesigned component)
• Testing a new feature with a subset of users before committing to full rollout
• Deploying a change that cannot be fully tested in staging (requires production data or traffic patterns)

Stages

• • Stage: 1 — Internal
  • Audience: Team members and internal employees only (0.1% of users)
  • Purpose: Catch obvious bugs and regressions before any external exposure
  • Duration: 1–3 days
• • Stage: 2 — Canary
  • Audience: 1–5% of production users, randomly sampled
  • Purpose: Measure real-world performance, error rates, and core interaction metrics
  • Duration: 3–7 days
• • Stage: 3 — Beta
  • Audience: 10–25% of production users
  • Purpose: Collect qualitative feedback and confirm metrics at scale
  • Duration: 1–2 weeks
• • Stage: 4 — General Availability
  • Audience: 100% of production users
  • Purpose: Full rollout — flag removed from code in next sprint

Kill Switch

The feature flag must have a runtime kill switch that can disable the feature within 5 minutes of detection without a code deploy.

Cleanup

Remove the feature flag from the codebase within 2 sprints of reaching 100% rollout. Dead flags accumulate and become unmaintainable.