9.5 KiB
POWR Workout Implementation Roadmap
Overview
This roadmap outlines the phased implementation approach for the POWR Workout feature. The development is structured in progressive iterations, each building upon the previous while maintaining usable functionality at each stage.
Phase 0: Preparation (1-2 days)
Database Schema Extensions
- Update SQLite schema with workout tables
- Create migration scripts
- Add test data validation
TypeScript Definitions
- Define core workout interfaces
- Create type guards and utility functions
- Document relationships with existing types
Testing Infrastructure
- Set up workout component testing environment
- Create mock workout data generators
- Establish performance benchmarks
Phase 1: Core Workout Infrastructure (1 week)
Workout Context & State Management
- Create WorkoutContext and provider
- Implement workout reducer
- Build timer hook implementation
- Add persistence service
Basic UI Components
- Workout setup screen
- Basic exercise tracking interface
- Simple completion flow
- Minimal workout summary
Database Integration
- Basic CRUD operations for workouts
- Template-to-workout conversion
- Simple workout history storage
Testing
- Unit tests for core logic
- Basic UI component tests
- Database operation tests
Milestone: Users can start a basic workout, track sets/reps, and save results
Phase 2: Enhanced Tracking Experience (1 week)
Advanced UI Components
- Rest timer implementation
- Exercise navigation carousel
- Set tracker with history reference
- In-workout notes and feedback
- Enhanced number inputs for weight/reps
Workout Types Support
- Strength workout layout
- Circuit workout support
- EMOM timer integration
- AMRAP tracking
Progress Tracking
- Basic PR detection
- Set completion visualization
- Progress indicators
- Exercise history comparison
Data Persistence
- Optimized auto-save
- Crash recovery
- Workout modification tracking
Milestone: Full-featured workout tracking with specialized workout types
Phase 3: Performance & Analysis (1 week)
Performance Optimization
- Reduce render cycles
- Optimize database operations
- Efficient timer implementation
- Memory usage optimization
Workout Analysis
- Comprehensive statistics calculation
- Volume tracking by muscle group
- Intensity analysis
- Trend visualization
Advanced Features
- Workout templates with progression
- RPE guidance
- Rest period recommendations
- Supersets and complex exercise grouping
Enhanced Recovery
- Automated backup system
- Unfinished workout detection
- Cross-session recovery
Milestone: Optimized workout experience with rich analytics
Phase 4: Social & Nostr Integration (1 week)
Nostr Event Creation
- Exercise event formatting (kind: 33401)
- Template event formatting (kind: 33402)
- Workout record event formatting (kind: 33403)
Publishing Flow
- Privacy-aware publishing options
- Selective publishing (exercises vs workouts)
- Author attribution
Subscription Integration
- Followed user workout display
- Workout import from Nostr
- Social interactions (reactions, comments)
Multi-device Sync
- Workout continuation across devices
- Template synchronization
- History consolidation
Milestone: Social workout sharing and multi-device capabilities
Phase 5: Polish & Advanced Features (1-2 weeks)
UI Polish
- Animations and transitions
- Haptic feedback integration
- Sound cues for timers
- Improved visual design
User Experience Improvements
- Onboarding flow for workout tracking
- Contextual help and tips
- Customizable workout controls
- Accessibility enhancements
Advanced Tracking Options
- Custom exercise metrics
- Video form recording
- Voice notes during workout
- Workout photos
Integration Enhancements
- Calendar integration
- Health kit/Google Fit synchronization
- Export capabilities
- Sharing to non-Nostr platforms
Milestone: Polished, feature-complete workout experience
Implementation Approach
Vertical Slices
Each phase will implement features as complete vertical slices, ensuring working functionality at each stage. This approach allows for:
- Earlier user testing and feedback
- Incremental value delivery
- More flexible priorities
- Easier integration testing
Testing Strategy
- Unit tests for all core logic components
- Component tests for UI elements
- Integration tests for data flow
- E2E tests for critical user journeys
- Performance tests for timer accuracy
Quality Gates
Each phase must meet these criteria before proceeding:
- All tests passing
- Performance benchmarks met
- No regressions in existing functionality
- Technical debt documented
- Documentation updated
Resource Requirements
Development Team
- 1-2 React Native developers
- 1 Designer for UI components
- Testing support
Technical Resources
- Test devices (iOS/Android)
- Performance monitoring setup
- SQLite optimization tools
- Animation prototyping tools
External Dependencies
- Nostr SDK updates if needed
- Any third-party libraries for specific features
- Design system extensions
Risk Management
Identified Risks
-
Timer Accuracy - Mobile timers may drift or be affected by background state
- Mitigation: Use requestAnimationFrame and background-aware implementations
-
Database Performance - Large workout histories may impact query speed
- Mitigation: Implement pagination, indexing, and query optimization
-
Cross-platform Consistency - UI/interaction differences between iOS/Android/web
- Mitigation: Platform-specific adaptations while maintaining consistent data model
-
Offline Sync Conflicts - Multi-device usage may cause data conflicts
- Mitigation: Implement conflict resolution strategies and versioning
-
Battery Usage - Continuous timing and tracking may impact battery life
- Mitigation: Optimize refresh rates, background processes, and sensor usage
Success Metrics
User Engagement
- Workout completion rate
- Average workout duration
- Return rate to workout feature
- Template reuse rate
Performance
- Time to interactive for workout screen
- Save operation duration
- Timer accuracy
- Battery impact
Quality
- Crash-free sessions
- Data preservation rate
- Auto-recovery success rate
- Cross-device consistency
Future Roadmap Considerations
Phase 6: Advanced Analytics
- Machine learning for workout recommendations
- Fatigue analysis
- Progression optimization
- Long-term trend visualization
Phase 7: Community Features
- Workout challenges
- Leaderboards
- Group workouts
- Coach/client relationships
Phase 8: Premium Features
- Advanced workout programming
- AI form checking
- Premium templates
- Personalized insights
Appendix: Component Dependencies
graph TD
A[WorkoutContext] --> B[WorkoutScreen]
A --> C[TimerService]
A --> D[WorkoutPersistence]
B --> E[ExerciseTracker]
B --> F[WorkoutControls]
B --> G[ExerciseNavigation]
E --> H[SetInput]
E --> I[RestTimer]
E --> J[RPESelector]
D --> K[SQLiteDatabase]
D --> L[NostrPublisher]
C --> M[TimerHook]
M --> N[BackgroundService]
Appendix: Data Flow Diagram
sequenceDiagram
participant User
participant UI as UI Components
participant Context as Workout Context
participant Service as Persistence Service
participant DB as SQLite
participant Nostr as Nostr Protocol
User->>UI: Select Template
UI->>Context: initWorkout(template)
Context->>Service: convertTemplateToWorkout()
Service->>DB: saveInitialWorkout()
DB-->>Service: workoutId
Service-->>Context: initializedWorkout
Context-->>UI: Updated State
User->>UI: Record Set
UI->>Context: updateSet(data)
Context->>Context: Internal State Update
Context-->>UI: Updated State
Note over Context: Auto-save Timer
Context->>Service: saveIncrementalChanges()
Service->>DB: transaction()
User->>UI: Complete Workout
UI->>Context: completeWorkout()
Context->>Service: finalizeWorkout()
Service->>DB: saveCompletedWorkout()
Service->>Service: calculateStatistics()
Service->>DB: saveWorkoutStatistics()
opt User Enabled Sharing
Service->>Nostr: createWorkoutEvent()
Nostr->>Nostr: publishEvent()
Nostr-->>Service: eventId
Service->>DB: updateNostrEventId()
end
Service-->>Context: workoutSummary
Context-->>UI: Display Summary
Appendix: Test Matrix
Component | Unit Tests | Integration Tests | E2E Tests | Performance Tests |
---|---|---|---|---|
Workout Context | State transitions, Timer accuracy | Data flow, Component integration | - | Memory usage |
Exercise Tracking | Input validation, UI state | Database integration | Full workout flow | Render performance |
Rest Timer | Timing accuracy, State management | UI integration | - | Background behavior |
Database | CRUD operations | Recovery, Transaction integrity | - | Query performance |
Nostr Integration | Event formatting | Publishing flow | Cross-device sync | Network efficiency |
UI Components | Rendering, Props validation | Context integration | User interactions | Animation smoothness |