feature-prioritization-assistant

Calculate RICE scores for product features to prioritize development.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/MrAlexisCord/chatbot-prototype --skill feature-prioritization-assistant-mralexiscord
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feature-prioritization-assistant
Source: https://github.com/MrAlexisCord/chatbot-prototype/tree/main/.agents/skills/feature-prioritization-assistant
Command: npx skills add https://github.com/MrAlexisCord/chatbot-prototype --skill feature-prioritization-assistant-mralexiscord

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps product managers and teams make data-driven decisions when faced with multiple feature ideas, ensuring that development efforts are focused on the most impactful initiatives.

Core Features & Use Cases

  • RICE Score Calculation: Systematically calculates Reach, Impact, Confidence, and Effort for each feature.
  • Feature Prioritization: Provides a ranked list of features based on their RICE scores, aiding roadmap planning.
  • Use Case: When deciding whether to build a new notification system, a dark mode, or API access, use this Skill to objectively compare their potential value against the resources required.

Quick Start

Help me prioritize these features using the RICE framework: [List your features with any context you have].

Frequently Asked Questions about feature-prioritization-assistant

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

FAQPage Schema
How do I calculate RICE scores for my product roadmap features?

Feature prioritization using the RICE framework objectively compares potential value against required resources. It calculates Reach, Impact, Confidence, and Effort to rank multiple feature ideas, ensuring development efforts focus on the most impactful initiatives for your product roadmap.

How does the RICE framework help with data-driven feature selection?

The RICE framework requires estimating Reach, Impact, Confidence, and Effort for each feature. You provide a list of your features along with any context you have, and the system calculates their scores to generate a ranked list for product roadmap planning.

Can I use RICE prioritization for deciding between dark mode and API access?

Yes, RICE prioritization suits any scale of feature selection where you must compare potential value against required resources. By scoring Reach, Impact, Confidence, and Effort, it systematically ranks multiple feature ideas to focus development efforts objectively.

What are the limitations of using RICE scores for product roadmap planning?

A limitation of using RICE scores for product roadmap planning is the reliance on accurate estimations of Reach, Impact, Confidence, and Effort. Inaccurate estimates can skew the prioritization, making the output only as reliable as the input data provided.