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RICE, ICE, MoSCoW, Kano, and Value vs Effort prioritization frameworks. Use when prioritizing features, ranking a backlog, scoping an MVP, or making trade-off decisions. Trigger on: 'prioritize my features', 'RICE scoring', 'what should I build first', 'rank my backlog', 'MVP

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$ npx -y skills add slgoodrich/agents --skill prioritization-methods --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/prioritization-methods

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RICE, ICE, MoSCoW, Kano, and Value vs Effort prioritization frameworks. Use when prioritizing features, ranking a backlog, scoping an MVP, or making trade-off decisions. Trigger on: 'prioritize my features', 'RICE scoring', 'what should I build first', 'rank my backlog', 'MVP

SKILL.md

prioritization-methods.SKILL.md
name: prioritization-methods
description: "RICE, ICE, MoSCoW, Kano, and Value vs Effort prioritization frameworks. Use when prioritizing features, ranking a backlog, scoping an MVP, or making trade-off decisions. Trigger on: 'prioritize my features', 'RICE scoring', 'what should I build first', 'rank my backlog', 'MVP scoping'."

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

---

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, quick assessments

**When to use**: Clear communication, strategic planning, need visualization

**Template**: `assets/value-effort-matrix-template.md`

---

4. MoSCoW Method

**Categories**:

  • **Must Have** (60%) - Critical for launch
  • **Should Have** (20%) - Important but not critical
  • **Could Have** (20%) - Nice-to-have
  • **Won't Have** - Explicitly out of scope

**Best for**: MVP scoping, release planning, clear scope decisions

**When to use**: Fixed timeline, need to cut scope, binary go/no-go decisions

**Template**: `assets/moscow-prioritization-template.md`

---

5. Kano Model

**Categories**:

  • **Basic Needs (Must-Be)**: Expected, dissatisfiers if absent
  • **Performance Needs**: More is better, linear satisfaction
  • **Excitement Needs (Delighters)**: Unexpected joy
  • **Indifferent**: Users don't care
  • **Reverse**: Users prefer without it

**Best for**: Understanding user expectations, competitive positioning, roadmap sequencing

**When to use**: Strategic planning, differentiation strategy, multi-release planning

**Template**: `assets/kano-model-template.md`

---

6. Weighted Scoring

**Process**:

1. Define criteria (User Value, Revenue, Strategic Fit, Effort) 2. Assign weights (must sum to 100%) 3. Score features (1-10) on each criterion 4. Calculate weighted score

**Example**:

Criteria: User Value 40%, Revenue 30%, Strategic 20%, Ease 10%
Feature: (8 × 0.40) + (6 × 0.30) + (9 × 0.20) + (5 × 0.10) = 7.3

**Best for**: Multiple criteria, complex trade-offs, custom needs

**When to use**: Balancing priorities, transparent decisions

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

---

7. Opportunity Scoring (Jobs-to-be-Done)

**Formula**: Importance + Max(Importance - Satisfaction, 0)

**Process**:

1. Identify customer jobs (outcomes, not features) 2. Survey: Rate importance (1-5) and satisfaction (1-5) 3. Calculate opportunity = importance + gap 4. Prioritize high-opportunity jobs (>7.0)

**Best for**: Outcome-driven innovation, understanding underserved needs, feature gap analysis

**When to use**: JTBD methodology, finding innovation opportunities, validation

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

---

Choosing the Right Framework

**Need speed?** → ICE (fastest)

**Have user data?** → RICE (most rigorous)

**Visual presentation?** → Value/Effort (clear visualization)

**MVP scoping?** → MoSCoW (forces cuts)

**User expectations?** → Kano (strategic insights)

**Complex criteria?** → Weighted Scoring (custom)

**Outcome-focused?** → Opportunity Scoring (JTBD)

**Detailed comparison**: `references/framework-selection-guide.md`

Complete decision tree, framework comparison table, combining strategies

---

Best Practices

**1. Be Consistent**

  • Use same framework across team
  • Document assumptions explicitly
  • Update scores as you learn

**2. Combine Frameworks**

  • RICE for ranking + Value/Effort for visualization
  • MoSCoW for release + RICE for roadmap
  • Kano for strategy + ICE for tactics

**3. Avoid Common Pitfalls**

  • Don't prioritize by HiPPO (Highest Paid Person's Opinion)
  • Don't ignore effort (value alone insufficient)
  • Don't set-and-forget (re-prioritize regularly)
  • Don't game the system (honest scoring)

**4. Clear Communication**

  • Show your work (transparent criteria)
  • Visualize priorities clearly
  • Explain trade-offs explicitly
  • Document "why not" for rejected items

**5. Iterate and Learn**

  • Track actual vs estimated impact
  • Refine scoring over time
  • Calibrate team estimates
  • Learn from misses

---

Templates and References

Assets (Ready-to-Use Templates)

Copy-paste these for immedi

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