pm-prioritization

SKILL.md

Feature Prioritization

Frameworks for prioritizing features and opportunities.

RICE Scoring

RICE Score = (Reach × Impact × Confidence) / Effort
Factor Definition Scale
Reach Users affected per quarter Actual number
Impact Effect on users 3=Massive, 2=High, 1=Medium, 0.5=Low, 0.25=Minimal
Confidence How sure are you? 100%=High, 80%=Medium, 50%=Low
Effort Person-months to ship Actual estimate

RICE Table:

| Feature | Reach | Impact | Confidence | Effort | RICE Score |
|---------|-------|--------|------------|--------|------------|
| [Feature A] | 5000 | 2 | 80% | 2 | 4000 |
| [Feature B] | 1000 | 3 | 50% | 1 | 1500 |

ICE Scoring (Simpler)

ICE Score = Impact × Confidence × Ease
Factor Scale
Impact 1-10 (potential value)
Confidence 1-10 (certainty of impact)
Ease 1-10 (implementation simplicity)

ICE Table:

| Feature | Impact | Confidence | Ease | ICE Score |
|---------|--------|------------|------|-----------|
| [Feature A] | 8 | 7 | 5 | 280 |
| [Feature B] | 6 | 9 | 8 | 432 |

Opportunity Solution Tree

Structure:

Outcome (measurable business goal)
├── Opportunity 1 (unmet customer need)
│   ├── Solution 1a
│   │   └── Experiment: [test]
│   └── Solution 1b
│       └── Experiment: [test]
├── Opportunity 2 (another need)
│   └── Solution 2a
│       └── Experiment: [test]
└── Opportunity 3
    └── ...

OST Template:

## Outcome
**Goal:** [Measurable objective]
**Current:** [Baseline metric]
**Target:** [Target metric]
**Timeline:** [By when]

## Opportunity Map

### Opportunity 1: [Customer need/pain point]
**Evidence:** [Interview quotes, data]
**Size:** [How many users affected]

**Solutions considered:**
1. **[Solution A]**
   - Effort: [S/M/L]
   - Experiment: [How to test cheaply]
   - Success metric: [What to measure]

2. **[Solution B]**
   - Effort: [S/M/L]
   - Experiment: [How to test cheaply]
   - Success metric: [What to measure]

**Selected:** [Which and why]

When to Use Each

Framework Best For Limitations
RICE Large teams, many features Requires reach data
ICE Quick decisions, small teams More subjective
OST Strategy alignment Requires outcome clarity

Prioritization Anti-Patterns

  • HiPPO (Highest Paid Person's Opinion) → Use data
  • Squeaky wheel (loudest customer wins) → Weight by segment size
  • Pet projects (internal favorites) → Require evidence
  • Sunk cost (we started, must finish) → Re-evaluate regularly
Weekly Installs
25
GitHub Stars
30
First Seen
Feb 5, 2026
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