RICE Score = (Reach × Impact × Confidence) / Effort

Reach: How many users affected? (1-100+)
- 10+ = 10
- 100+ = 100
- 1000+ = 1000

Impact: Per-user impact (3, 2, 1, 0.5)
- 3 = Massive (10x improvement)
- 2 = High (significant improvement)
- 1 = Medium (noticeable improvement)
- 0.5 = Low (minor improvement)

Confidence: How confident? (0.25-1.0)
- 1.0 = High (research backed)
- 0.8 = Medium (some validation)
- 0.5 = Low (minimal validation)
- 0.25 = Very low (assumption)

Effort: Engineer-weeks needed (1-20+)

Feature          Reach Impact Confidence Effort RICE Score
────────────────────────────────────────────────────────
User Onboarding   50    3      0.8      8      (50×3×0.8)/8 = 15.0
Dark Mode         200   1      0.9      4      (200×1×0.9)/4 = 45.0
API Limits        500   2      0.7      10     (500×2×0.7)/10 = 70.0
Performance Fix   1000  0.5    1.0      5      (1000×0.5×1)/5 = 100.0
Custom Fields     30    3      0.6      12     (30×3×0.6)/12 = 4.5

PRIORITIZE: Performance > API Limits > Dark Mode > Onboarding > Custom Fields

           Low Effort      High Effort
High Value  QUICK WINS      STRATEGIC
           (Do first)      (Plan carefully)

Low Value   FILL-INS        AVOID
           (If time)       (Skip)

Q1 2025: Initiative Theme
├─ Goal: Business outcome
├─ Key Features: 2-3 major features
├─ Success Metrics: How you measure
└─ Resource: Team size needed

Q2 2025: Initiative Theme
Q3 2025: Initiative Theme
Q4 2025: Initiative Theme

Team Size: 5 engineers
Sprint Length: 2 weeks
Typical Capacity: 40-50 story points

Planning Reality:
- 50% unplanned work (bugs, interrupts)
- 20% operational tasks
- 30% feature development

Result: 50 points × 30% = 15 points for features
→ Add MUST have items first
→ Fill remaining capacity with SHOULD/COULD

[ ] RICE scoring consistent mi?
[ ] Capacity realistic mi? (20% buffer)
[ ] Dependencies mapped mi?
[ ] Stakeholder alignment var mı?
[ ] Risk mitigation planı var mı?