Feature Flag Rollout Project Gantt Chart

The Problem: Feature Flags Without Rollout Plans Create Permanent Debt

Feature flags are one of the most powerful tools in a software team's toolbox—and one of the most misused. The typical failure mode: a flag is created to control a new feature's rollout. The rollout happens. But the flag never gets cleaned up. Six months later the codebase has 200 flags, nobody knows which ones are still in use, and the code has conditional branches wrapping 30% of the logic.

A feature flag rollout project Gantt chart treats flag creation as a project with a defined lifecycle: create, roll out progressively, run experiment, conclude, and clean up. The cleanup date is planned on Day 1, not discovered six months later. gantt-chart.io is free and requires no account.

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Prerequisites

• Feature flag platform: LaunchDarkly, Statsig, Flagsmith, Unleash, or in-house?
• Rollout strategy: Percentage rollout, user segment, geographic, or A/B test?
• Metrics: What does success look like? How will you measure it?
• Rollback plan: What's the kill switch? Who can flip it?
• Cleanup commitment: Set the flag expiration date before you create the flag.

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Step-by-Step Instructions

Step 1: Set Up the Timeline

1. Open gantt-chart.io
2. Title the chart: Feature Flag Rollout - [Feature Name]
3. Plan 6–10 weeks from flag creation to cleanup
4. Add a Flag Cleanup milestone at the end—this is as important as the launch
5. Use Week view

Step 2: Define the Flag Lifecycle Phases

1. Flag Creation & Integration — implement flag in code, configure platform
2. Internal Testing — 0% public traffic, internal users only
3. Staged Rollout — progressive percentage exposure
4. Experimentation — if A/B testing, run for statistical significance
5. Full Rollout — 100% of users
6. Flag Cleanup — remove flag from code, document outcome

Step 3: Flag Creation & Integration (Week 1)

1. Flag created in feature flag platform — Day 1
2. Flag key and default value documented — Day 1
3. Flag integrated in code — Week 1
4. Unit tests for both flag states — Week 1
5. Flag deployed to production (at 0%) — Week 1
6. Rollback tested (confirm feature disables cleanly) — Week 1
7. Flag integration complete — Week 1 (milestone)

Step 4: Internal Testing (Week 2)

1. Flag enabled for internal users / beta group — Week 2, Day 1
2. Internal testing with real data — Week 2
3. Bug fixes from internal testing — Week 2
4. Analytics events firing correctly — Week 2
5. Internal sign-off — Week 2 (milestone)

Step 5: Staged Rollout (Week 3-5)

Progressive exposure—move to next stage only if metrics look healthy:

1. 10% rollout — Week 3, Day 1
2. Monitor: error rate, latency, conversion metrics — 48 hours
3. 25% rollout — Week 3, Day 4 (if no issues)
4. Monitor: 48 hours — Week 3
5. 50% rollout — Week 4, Day 1
6. Monitor: 48 hours — Week 4
7. 75% rollout — Week 4, Day 4
8. Monitor: 48 hours — Week 4

Build in pause points. If error rate increases at any stage, flag rolls back to 0% and investigation begins.

Step 6: Experimentation (Week 3-6, if A/B testing)

If this is an A/B test rather than a progressive rollout:

1. 50/50 split configured — Week 3
2. Experiment running — Week 3-6
3. Statistical significance calculated daily — Week 3-6
4. Minimum sample size reached — check before concluding
5. Experiment results documented — Week 6
6. Winner determined — Week 6 (milestone)

Step 7: Full Rollout (Week 5-6)

1. 100% rollout enabled — Week 5 or after experiment concludes
2. Monitor full rollout 24 hours — Week 5-6
3. Full rollout confirmed successful — Week 6 (milestone)

Step 8: Flag Cleanup (Week 7-8)

This phase is as important as the rollout itself. A flag never cleaned up is permanent debt.

1. Remove conditional flag check from code — Week 7
2. Remove flag from feature flag platform — Week 7
3. Tests updated (remove flag-state-specific tests) — Week 7
4. Deploy cleaned-up code to production — Week 7
5. Outcome documented — Week 8

• What problem did this feature solve?
• What were the measured outcomes?
• Any learnings for future rollouts?

1. Flag lifecycle complete — Week 8 (milestone)

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Flag Naming and Documentation Standards

Before creating the flag:

• Name format: [team]-[feature]-[YYYY-MM] (e.g., growth-checkout-redesign-2026-08)
• Description: What does this flag control? What does true/false mean?
• Owner: Who is responsible for cleanup?
• Expiration: When will this flag be removed? (Set on Day 1)
• Linked issue: Link to the Jira/Linear ticket tracking flag cleanup

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Common Mistakes

No cleanup scheduled. Every flag must have a cleanup date set before it's created. Without it, cleanup never happens.

Skipping internal testing. Rolling out directly from 0% to 10% public without internal testing means bugs are discovered by customers, not internally.

Not testing the rollback path. The rollback must be tested before the rollout. Discovering that disabling the flag breaks something unrelated is a crisis you can avoid.

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