What Prioritization Frameworks Are Available in PM Skills Marketplace: The Complete 2024 Guide

The PM Skills Marketplace provides nine evidence-based prioritization frameworks including ICE, RICE, MoSCoW, Kano Model, and Eisenhower Matrix, all documented in the dedicated prioritization-frameworks skill with formulas, templates, and implementation guidance.

The phuryn/pm-skills repository hosts a comprehensive collection of product management utilities, with its marketplace offering specific guidance on prioritization frameworks available in PM Skills Marketplace. This skill consolidates industry-standard methodologies into actionable formats, complete with mathematical formulas and downloadable templates for immediate implementation.

The Nine Prioritization Frameworks Available in PM Skills Marketplace

The prioritization-frameworks skill, located at pm-execution/skills/prioritization-frameworks/SKILL.md, documents nine distinct methodologies for product decision-making. Each framework includes specific use-case guidance, key insights, and links to Google Docs/Sheets templates.

Framework Overview and Use Cases

• Eisenhower Matrix – Sorts personal tasks into Urgent vs Important quadrants for individual productivity management.

• Impact vs Effort – Deploys a simple 2×2 chart for quick triage of tasks and initiatives based on value versus cost.

• Risk vs Reward – Adds a risk dimension to the Impact vs Effort view for initiatives with high uncertainty.

• Opportunity Score (Dan Olsen) – Prioritizes customer problems using the formula Opportunity Score = Importance × (1 – Satisfaction).

• Kano Model – Classifies features into Must-be, Performance, Attractive, and other categories to understand customer expectations.

• Weighted Decision Matrix – Supports multi-factor stakeholder decisions by assigning weights to criteria and computing weighted scores.

• ICE – Enables rapid idea ranking using Score = Impact × Confidence × Ease on a 1-10 scale.

• RICE – Provides scalable idea prioritization using Score = (Reach × Impact × Confidence) / Effort.

• MoSCoW – Categorizes requirements as Must, Should, Could, or Won't, originally developed for project management.

Mathematical Formulas for Quantitative Methods

Two frameworks provide explicit formulas for scoring initiatives:

• ICE: Multiplies Impact, Confidence, and Ease (all rated 1-10) to produce a comparative score.

• RICE: Multiplies Reach (number of users), Impact (value per customer, 0-1), and Confidence (0-1 or percentage), then divides by Effort (typically person-months).

• Opportunity Score: Calculates the gap between importance and current satisfaction to identify unmet customer needs.

Implementation: Calculating ICE and RICE Scores

The skill includes executable Python logic for computing quantitative scores. These implementations can be integrated into custom skills or run locally to evaluate feature ideas.

ICE Score Calculation

def ice_score(impact: float, confidence: float, ease: float) -> float:
    """
    Compute ICE score.
    Parameters are on a 1‑10 scale.
    """
    return impact * confidence * ease

# Example

print(ice_score(8, 7, 5))   # → 280

RICE Score Calculation

def rice_score(reach: int, impact: float, confidence: float, effort: float) -> float:
    """
    Compute RICE score.
    * reach – number of customers/users affected
    * impact – value per customer (0‑1)
    * confidence – 0‑1 (or 0‑100 %)
    * effort – person‑months (or any consistent effort unit)
    """
    return (reach * impact * confidence) / effort

# Example

print(rice_score(reach=1500, impact=0.6, confidence=0.8, effort=4))  # → 180.0

Accessing Framework Documentation and Templates

The prioritization frameworks are exposed through the marketplace infrastructure in two key locations:

• pm-execution/skills/prioritization-frameworks/SKILL.md – The primary reference document containing framework definitions, formulas, when-to-use guidance, and template links.

• .claude-plugin/marketplace.json – Declares the skill for the PM Skills Marketplace, making the frameworks searchable and accessible via the PM Skills CLI.

According to the source code in phuryn/pm-skills, users can activate these skills through the marketplace interface to access downloadable templates and structured implementation guides.

Summary

• The PM Skills Marketplace offers nine distinct prioritization frameworks ranging from qualitative matrices (Eisenhower, MoSCoW) to quantitative scoring models (ICE, RICE).
• Framework documentation resides in pm-execution/skills/prioritization-frameworks/SKILL.md with formulas, use-case guidance, and template links.
• ICE and RICE provide mathematical scoring systems for rapid initiative ranking, with reference implementations available in Python.
• The .claude-plugin/marketplace.json file exposes these frameworks to the CLI, making them discoverable within the PM Skills ecosystem.
• All frameworks include links to Google Docs and Sheets templates for immediate practical application.

Frequently Asked Questions

What file contains the prioritization framework documentation in the PM Skills Marketplace?

The complete documentation for all nine frameworks lives in pm-execution/skills/prioritization-frameworks/SKILL.md within the phuryn/pm-skills repository. This file contains use-case descriptions, mathematical formulas, and links to downloadable templates.

How does the PM Skills Marketplace expose these frameworks to the CLI?

The frameworks are declared in .claude-plugin/marketplace.json, which registers the prioritization-frameworks skill with the marketplace. This JSON configuration makes the frameworks discoverable and accessible through the PM Skills CLI interface.

Which prioritization framework is best for rapid idea ranking?

The ICE framework (Impact × Confidence × Ease) is optimized for rapid ranking because it requires only three parameters on a 1-10 scale and multiplies them for immediate comparative scores. This makes it ideal for early-stage brainstorming when precise reach data is unavailable.

What is the difference between ICE and RICE scoring in PM Skills?

ICE calculates Impact × Confidence × Ease to produce a relative score, while RICE adds a Reach dimension and divides by Effort using the formula (Reach × Impact × Confidence) / Effort. RICE provides more scalable prioritization by accounting for the number of affected users and actual implementation cost, whereas ICE offers quicker triage with fewer inputs.

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