GitScrum / Docs
All Best Practices

Feature Flags Development | 70% Less Release Risk

Manage feature flags with GitScrum lifecycle tracking, rollout stages, and cleanup tasks. Coordinate experiments, reduce release risk. 70% fewer issues.

5 min read

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:

  • Create - Define flag
  • Implement - Code behind flag
  • Test - Validate flag behavior
  • Rollout - Gradual release
  • Monitor - Track metrics
  • Full release - 100% rollout
  • 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
    

    Related articles