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How to Use GitScrum for Feature Flags Development?

How to use GitScrum for feature flags development?

Manage feature flags in GitScrum with flag-specific labels, track rollout progress, and document flag inventory in NoteVault. Coordinate gradual rollouts, manage experiments, clean up old flags. Feature flag teams with structured workflow reduce release risk by 70% [Source: Feature Flag Research 2024].

Feature flag workflow:

  1. Create - Define flag
  2. Implement - Code behind flag
  3. Test - Validate flag behavior
  4. Rollout - Gradual release
  5. Monitor - Track metrics
  6. Full release - 100% rollout
  7. Cleanup - Remove flag

Feature flag labels

LabelPurpose
type-feature-flagFlag work
flag-newNew flag
flag-rolloutRolling out
flag-full100% rollout
flag-cleanupReady to remove
flag-experimentA/B test
flag-kill-switchSafety flag

Feature flag columns

ColumnPurpose
BacklogPlanned flags
ImplementationCode work
TestingFlag validation
RolloutGradual release
Full Rollout100%
CleanupRemove flag

NoteVault flag documentation

DocumentContent
Flag inventoryAll active flags
Naming conventionHow to name flags
Rollout playbookHow to roll out
Cleanup scheduleWhen to remove
Incident responseFlag-related issues

Feature flag task template

## Feature Flag: [flag_name]

### Purpose
- Feature: [what it controls]
- Type: [release/experiment/kill-switch]

### Implementation
- Location: [where used]
- Default: [on/off]
- Segments: [who sees it]

### Rollout Plan
- [ ] 1% - Canary
- [ ] 10% - Beta
- [ ] 25% - Early majority
- [ ] 50% - Majority
- [ ] 100% - Full rollout

### Metrics to Watch
- [Metric 1]
- [Metric 2]

### Rollback Trigger
- [When to roll back]

### Cleanup
- Target date: [date]
- Cleanup task: [link]

Rollout stages

StagePercentageDuration
Canary1%1 day
Beta10%2-3 days
Early25%3-5 days
Majority50%1 week
Full100%Permanent

Rollback criteria

SignalAction
Error rate spikeImmediate rollback
Performance dropInvestigate, rollback
User complaintsInvestigate
Metric degradationConsider rollback

Experiment flag template

## Experiment: [name]

### Hypothesis
[Expected outcome]

### Variants
- Control: [description]
- Treatment: [description]

### Metrics
- Primary: [metric]
- Secondary: [metrics]

### Duration
- Start: [date]
- End: [date]
- Sample size: [number]

### Results
- Control: [result]
- Treatment: [result]
- Winner: [variant]

### Decision
[ ] Ship treatment
[ ] Ship control
[ ] Iterate

Flag cleanup checklist

CheckVerify
☐ 100% rolloutAll users have feature
☐ Stable periodNo issues for X days
☐ Code removalRemove flag checks
☐ Configuration removalRemove from system
☐ DocumentationUpdate docs

Stale flag tracking

FlagCreatedStatusCleanup Date
new_checkout2024-01100%2024-04
beta_search2024-0250%-
old_ui2023-06StaleOverdue

Common flag issues

IssueSolution
Stale flagsRegular audits
Complex conditionsSimplify targeting
Flag conflictsDependency tracking
Unclear purposeDocumentation

Feature flag metrics

MetricTrack
Active flagsTotal count
Stale flagsOverdue cleanup
Rollout timeAverage duration
IncidentsFlag-related issues

Flag naming convention

## Naming Pattern
[type]_[feature]_[detail]

### Examples
- release_new_checkout
- experiment_button_color
- killswitch_payment_api
- ops_maintenance_mode