prioritization-methods

# Prioritization Methods & Frameworks

## Overview

Data-driven frameworks for feature prioritization, backlog ranking, and MVP scoping. Choose the right framework based on your context: data availability, team size, and decision type.

## When to Use This Skill

**Auto-loaded by agents**:
- `feature-prioritizer` - For RICE/ICE scoring, MVP scoping, and backlog ranking

**Use when you need**:
- Choosing between competing features
- Building quarterly roadmaps
- Backlog prioritization
- Saying "no" with evidence
- Clear prioritization decisions
- Resource allocation decisions
- MVP scoping decisions

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## Seven Core Frameworks

### 1. RICE Scoring (Intercom)

**Formula**: (Reach × Impact × Confidence) / Effort

**Best for**: Large backlogs (20+ items) with quantitative data

**Components**:
- **Reach**: Users impacted per quarter
- **Impact**: 0.25 (minimal) to 3 (massive)
- **Confidence**: 50% (low data) to 100% (high data)
- **Effort**: Person-months to ship

**Example**:
```
Dark Mode: (10,000 × 2.0 × 0.80) / 1.5 = 10,667
```

**When to use**: Post-PMF with metrics, need defendable priorities, data-driven culture

**Template**: `assets/rice-scoring-template.md`

---

### 2. ICE Scoring (Sean Ellis)

**Formula**: (Impact + Confidence + Ease) / 3

**Best for**: Quick experiments, early-stage products, limited data

**Components** (each 1-10):
- **Impact**: How much will this move the needle?
- **Confidence**: How sure are we?
- **Ease**: How simple to implement?

**Example**:
```
Email Notifications: (8 + 9 + 7) / 3 = 8.0
```

**When to use**: Growth experiments, startups, need speed over rigor

**Template**: `assets/ice-scoring-template.md`

---

### 3. Value vs Effort Matrix (2×2)

**Quadrants**:
- **Quick Wins** (high value, low effort) - Do first
- **Big Bets** (high value, high effort) - Strategic
- **Fill-Ins** (low value, low effort) - If capacity
- **Time Sinks** (low value, high effort) - Avoid

**Best for**: Visual presentations, portfolio planning, qui