299 lines
7.1 KiB
Markdown
299 lines
7.1 KiB
Markdown
# Checkpoint 4: Team Structure Report
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## Team Structure for Iterative Media Processing Development
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### 1. Phase-Based Team Evolution
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#### Phase 1 (Weeks 1-2): Minimal Team
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```
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Just 2 people:
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├── Backend Python Developer (You or Lead)
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│ └── Build v1 basic transcription
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└── DevOps/Infrastructure Support (Part-time)
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└── PostgreSQL, uv setup, testing
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```
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#### Phase 2 (Week 3): Add Enhancement
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```
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+1 person:
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└── AI Integration Developer
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└── DeepSeek enhancement integration
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```
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#### Phase 3 (Weeks 4-5): Add Multi-pass
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```
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+1 person:
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└── ML Engineer/Researcher
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└── Multi-pass strategies, confidence scoring
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```
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#### Phase 4 (Week 6+): Add Diarization
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```
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+1 person:
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└── Audio/Speech Specialist
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└── Speaker diarization, voice embeddings
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```
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### 2. Core Roles Detailed
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#### Backend Python Developer (Lead)
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- **When**: From Day 1
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- **Focus**: Architecture, protocols, iteration management
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- **Responsibilities**:
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- Design protocol-based architecture
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- Build v1 basic pipeline
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- Manage version transitions
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- Ensure backward compatibility
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- Code review all iterations
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- Implement batch processing system
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- **Skills**: Deep Python, PostgreSQL, clean architecture, Whisper/ML experience
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#### AI Integration Developer
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- **When**: Phase 2 (Week 3)
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- **Focus**: AI enhancement layer
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- **Responsibilities**:
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- Integrate DeepSeek/other AI services
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- Design enhancement prompts
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- Handle structured outputs
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- Manage AI costs/quotas
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- Implement retry logic
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- **Skills**: API integration, prompt engineering, JSON schemas
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#### ML Engineer/Researcher
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- **When**: Phase 3 (Week 4)
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- **Focus**: Accuracy improvements
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- **Responsibilities**:
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- Design multi-pass strategies
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- Implement confidence scoring
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- Research optimal parameters
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- Benchmark accuracy improvements
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- Optimize model performance
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- **Skills**: Whisper models, statistics, Python, ML optimization
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#### Audio/Speech Specialist
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- **When**: Phase 4 (Week 6)
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- **Focus**: Speaker separation
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- **Responsibilities**:
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- Implement diarization algorithms
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- Voice embedding systems
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- Speaker clustering
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- Audio preprocessing for diarization
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- **Skills**: pyannote, speech processing, audio analysis
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### 3. Support Roles (As Needed)
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#### DevOps/Infrastructure (Part-time from Day 1)
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- PostgreSQL optimization
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- CI/CD pipeline setup
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- Monitoring and logging
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- Backup strategies
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- Performance monitoring
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#### QA/Test Engineer (Part-time from Phase 2)
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- Test data preparation
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- Accuracy benchmarking
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- Regression testing
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- Performance testing
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- Real file test management
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#### Technical Writer (Part-time from Phase 3)
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- API documentation
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- Rule files maintenance
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- User guides
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- Architecture documentation
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- Change logs
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### 4. Communication Structure for Iterations
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```
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Phase 1: Direct communication (2 people)
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Phase 2: Daily standup starts (3 people)
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Phase 3: Weekly architecture review (4 people)
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Phase 4: Formal sprint planning (5+ people)
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```
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#### Decision Making by Phase
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| Phase | Decision Owner | Review Required | Communication |
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|-------|---------------|-----------------|---------------|
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| 1 | Backend Lead | You | Direct |
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| 2 | Backend Lead | You + AI Dev | Daily sync |
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| 3 | Backend Lead | Team consensus | Weekly review |
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| 4 | You | Architecture team | Sprint planning |
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### 5. Work Distribution Strategy
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#### Phase 1 Sprint (Weeks 1-2)
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```
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Backend Lead:
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- Database schema design
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- Basic Whisper integration
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- Batch processing system
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- JSON/TXT export
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- CLI implementation
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DevOps:
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- PostgreSQL setup
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- Test environment
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- CI/CD basics
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```
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#### Phase 2 Sprint (Week 3)
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```
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Backend Lead:
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- Version management system
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- Pipeline orchestrator
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- Backward compatibility
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AI Developer:
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- DeepSeek integration
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- Enhancement templates
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- Error handling
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- Prompt optimization
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```
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#### Phase 3 Sprint (Weeks 4-5)
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```
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Backend Lead:
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- Refactoring for multi-pass
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- Version compatibility
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- Performance optimization
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AI Developer:
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- Enhance prompt optimization
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- Cost management
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ML Engineer:
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- Multi-pass implementation
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- Confidence algorithms
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- Segment merging
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- Parameter tuning
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```
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#### Phase 4 Sprint (Week 6+)
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```
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All roles contributing:
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- Backend: Integration
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- AI: Speaker prompts
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- ML: Voice embeddings
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- Audio: Diarization
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```
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### 6. Skill Requirements by Phase
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#### Phase 1 (Must Have)
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- Python 3.11+
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- PostgreSQL + SQLAlchemy
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- Basic Whisper knowledge
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- pytest + real file testing
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- Async Python
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#### Phase 2 (Add)
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- API integration
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- Prompt engineering
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- Async error handling
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- JSON schema validation
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#### Phase 3 (Add)
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- ML/statistics
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- Model optimization
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- Performance profiling
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- Confidence scoring
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#### Phase 4 (Add)
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- Speech processing
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- Audio analysis
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- Clustering algorithms
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- Voice biometrics
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### 7. Team Scaling Triggers
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#### When to Add Next Person
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- Phase 1 → 2: When v1 is stable and tested
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- Phase 2 → 3: When enhancement is working reliably
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- Phase 3 → 4: When multi-pass shows value
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- Scale beyond: When batch processing needs optimization
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#### Scaling Indicators
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- Processing backlog > 100 files
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- Response time > SLA
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- Feature requests accumulating
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- Technical debt growing
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### 8. Risk Mitigation
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#### Single Points of Failure
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- **Backend Lead in Phase 1-2**: Document everything, pair programming
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- **AI API keys**: Multiple service support, fallback options
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- **PostgreSQL**: Regular backups, replication setup
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- **Domain knowledge**: Cross-training between phases
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#### Knowledge Transfer
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- Pair programming during transitions
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- Comprehensive documentation
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- Code reviews for learning
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- Recorded architecture decisions
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- Weekly knowledge sharing sessions
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### 9. Remote vs Co-located Considerations
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#### Remote Team Benefits
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- Access to global talent
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- Async work enables 24/7 progress
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- Lower costs
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- Written communication creates documentation
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#### Remote Team Challenges
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- Communication delays
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- Time zone coordination
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- Pair programming harder
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- Onboarding complexity
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#### Recommended Approach
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- Core team co-located or same timezone
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- Support roles can be remote
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- Clear async communication protocols
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- Regular video architecture reviews
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### 10. Performance Metrics by Role
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#### Backend Developer
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- Code coverage > 80%
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- PR review time < 24h
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- Bug rate < 5%
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- Documentation completeness
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#### AI Integration Developer
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- API error rate < 1%
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- Enhancement accuracy > 99%
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- Cost per transcript < $0.01
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- Prompt iteration speed
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#### ML Engineer
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- Model accuracy improvements
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- Processing time reduction
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- Confidence score reliability
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- Research output quality
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#### Audio Specialist
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- Speaker identification accuracy > 90%
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- Diarization error rate < 10%
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- Processing speed targets
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- Voice quality metrics
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### Summary
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The team structure emphasizes:
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1. **Gradual growth** aligned with iterative development
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2. **Clear role boundaries** with defined responsibilities
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3. **Phase-based scaling** to avoid premature complexity
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4. **Knowledge transfer** built into the process
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5. **Metrics-driven** performance evaluation
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This approach ensures the team grows with the product, maintaining efficiency while adding capabilities.
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---
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*Generated: 2024*
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*Status: COMPLETE*
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*Next: Technical Migration Report* |