How does the Opportunity Solution Tree help?

It connects business outcomes to specific customer opportunities and technical solutions, ensuring that every feature built serves a measurable strategic goal.

How do I trigger these frameworks in Claude Code?

You can use triggers like 'rice scoring', 'ice scoring', 'ost', or 'prioritize features' to have Claude generate the relevant tables and calculations for your project.

What is the difference between RICE and ICE scoring?

RICE is more rigorous, requiring reach data and person-month estimates, while ICE is simpler and more subjective, making it ideal for quick decisions in smaller teams.

Can this skill help avoid biased decision-making?

Yes, it includes guidance on avoiding anti-patterns like HiPPO (Highest Paid Person's Opinion) and the 'squeaky wheel' effect by emphasizing data and segment sizing.

PM Prioritization Frameworks

Name: PM Prioritization Frameworks
Author: majesticlabs-dev

bymajesticlabs-dev

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Collaboration Tools

Implements industry-standard product management frameworks like RICE, ICE, and Opportunity Solution Trees to streamline feature prioritization.

About

The PM Prioritization skill equips Claude with specialized frameworks to help product managers and developers make data-driven decisions about their product roadmaps. It provides structured templates and scoring models for RICE (Reach, Impact, Confidence, Effort) and ICE (Impact, Confidence, Ease), alongside strategic mapping via Opportunity Solution Trees (OST). This skill is essential for resolving conflicting priorities, avoiding biased decision-making like the HiPPO effect, and ensuring resources are allocated to the highest-value features based on objective criteria and measurable business outcomes.

Key Features

Automated RICE scoring calculations and comparison tables
Simplified ICE scoring for rapid feature evaluation
Opportunity Solution Tree (OST) mapping for strategic alignment
Customizable templates for outcome-based roadmapping
Detection and mitigation of prioritization anti-patterns
19 GitHub stars

Use Cases

Resolving team disagreements on feature priority using objective data scores
Calculating the potential impact of a feature backlog during sprint planning
Mapping customer pain points to specific technical solutions using OST

About

Key Features

Automated RICE scoring calculations and comparison tables
Simplified ICE scoring for rapid feature evaluation
Opportunity Solution Tree (OST) mapping for strategic alignment
Customizable templates for outcome-based roadmapping
Detection and mitigation of prioritization anti-patterns
19 GitHub stars

Use Cases

Resolving team disagreements on feature priority using objective data scores
Calculating the potential impact of a feature backlog during sprint planning
Mapping customer pain points to specific technical solutions using OST