prioritization-frameworks

Select prioritization frameworks and output GTM launch tiers T1–T4.

5|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/stefanoskarakasis/Product-Marketing-Skills --skill prioritization-frameworks-stefanoskarakasis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prioritization-frameworks
Source: https://github.com/stefanoskarakasis/Product-Marketing-Skills/tree/main/pmm-execution/skills/prioritization-frameworks
Command: npx skills add https://github.com/stefanoskarakasis/Product-Marketing-Skills --skill prioritization-frameworks-stefanoskarakasis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the selection and application of the most suitable prioritization framework, helping product marketers make informed decisions and optimize resource allocation.

Core Features & Use Cases

  • Framework Selection: Offers 9 frameworks (Opportunity Score, ICE, RICE, Eisenhower, Impact vs Effort, Risk vs Reward, Kano, Weighted Decision Matrix, MoSCoW) tailored to different decision scenarios.
  • Scoring and Tier Assignment: Integrates PMM interpretation layer and GTM launch tier output (T1–T4), leveraging brain context and guardrails.
  • Contextual Learning: Learns from previous sessions to improve accuracy and provide more relevant insights over time.
  • Use Case: Ideal for tiering launch backlogs, prioritizing feature development, and assessing market entry opportunities.

Quick Start

To select a prioritization framework, use the prioritization-frameworks skill followed by the specific scenario or decision type, such as 'p priorize my feature backlog'.

Frequently Asked Questions about prioritization-frameworks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to prioritize a product marketing backlog?

To prioritize a product marketing backlog, you can apply nine frameworks like ICE, RICE, or MoSCoW, which translate scoring outputs directly into Go-To-Market launch tiers (T1–T4) for optimized resource allocation.

How do I choose the right prioritization framework for feature development?

Choosing the right prioritization framework depends on your specific decision scenario, matching feature development needs against nine available models including Opportunity Score, Kano, and Impact vs Effort to optimize decisions.

Can I use RICE and MoSCoW frameworks to assign GTM launch tiers?

Yes, RICE and MoSCoW framework outputs are integrated with a product marketing interpretation layer that assigns Go-To-Market launch tiers (T1–T4), leveraging guardrails to optimize resource allocation.

Does this prioritization approach support tiering market entry opportunities?

Yes, prioritization supports assessing market entry opportunities by applying frameworks like Risk vs Reward and Weighted Decision Matrix, translating the resulting scores into actionable GTM launch tiers.

How does contextual learning improve prioritization framework selection?

Contextual learning improves framework selection by capturing brain context and guardrails from previous sessions, increasing accuracy and providing more relevant product marketing insights over time.