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Lab Logbook - Feature Prioritization Framework

Execution Workflow

Phase 1: Setup (15 minutes)

  1. Create project directory structure
  2. Set up Python virtual environment
  3. Install all dependencies from requirements.txt
  4. Verify installation with test imports

Phase 2: Feature Brainstorming (30 minutes)

  1. Research food delivery app pain points
  2. Brainstorm 15+ feature ideas across categories:
    • Customer Retention
    • Order Value Increase
    • User Experience
    • Operational Efficiency
    • Discovery & Exploration
  3. Document each feature with description

Phase 3: RICE Prioritization (45 minutes)

  1. For each feature, estimate:
    • Reach: % of MAU affected
    • Impact: Qualitative score (Massive/High/Medium/Low)
    • Confidence: Based on research/precedent (High/Medium/Low)
    • Effort: Engineering time in person-months
  2. Run prioritization.py to calculate RICE scores
  3. Review top 3 features
  4. Document rationale for estimates

Phase 4: PRD Creation (2 hours)

  1. Select top 3 features from RICE analysis
  2. Write complete PRDs including:
    • Problem statement
    • User stories
    • Acceptance criteria
    • Success metrics
    • Technical considerations
    • Launch plan
  3. Save in prds/ directory

Phase 5: A/B Test Design (1 hour)

  1. Select #1 ranked feature for testing
  2. Design test parameters:
    • Control vs Treatment groups
    • Sample size calculations
    • Test duration
    • Primary and secondary metrics
    • Guardrail metrics
  3. Document test plan

Phase 6: Simulation & Analysis (1 hour)

  1. Run ab_test_simulator.py
  2. Generate synthetic user behavior data
  3. Perform statistical analysis:
    • Chi-square test
    • Z-test for proportions
    • Confidence intervals
    • Power analysis
  4. Interpret results

Phase 7: Visualization (1 hour)

  1. Run visualization.py
  2. Generate all charts:
    • RICE score rankings
    • Effort vs Impact matrix
    • A/B test funnel
    • Conversion trends
    • Executive dashboard
  3. Review and annotate key insights

Phase 8: Reporting (1 hour)

  1. Compile final report
  2. Write executive summary
  3. Document recommendations
  4. Prepare presentation deck (optional)

Phase 9: Documentation (30 minutes)

  1. Update README with results
  2. Document methodology
  3. Add comments to code
  4. Create architecture diagram

Phase 10: Quality Check (30 minutes)

  1. Run all tests
  2. Verify all outputs generated
  3. Check for broken links/paths
  4. Final review of documentation

Total Time: ~9 hours spread over 2-3 days

Key Learnings

  • RICE framework provides objective prioritization
  • Statistical validation prevents false positives
  • Data visualization crucial for stakeholder buy-in
  • Documentation as important as analysis

Challenges Faced

  1. Estimating confidence levels without real data
  2. Balancing detail vs simplicity in PRDs
  3. Choosing right sample size for simulation
  4. Making visualizations executive-friendly

Next Steps

  • Build interactive Streamlit dashboard
  • Add more sophisticated ML models
  • Include multi-variant testing
  • Create video walkthrough
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