prioritize-features

Ranks feature backlog ideas by impact, effort, risk, and strategic fit.

Updated Aug 10, 2026
One-click install
npx skills add https://github.com/Choi-Keith/skill-arsenal-ultra --skill prioritize-features-choi-keith
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prioritize-features
Source: https://github.com/Choi-Keith/skill-arsenal-ultra/tree/main/plugins/pm-skills/pm-product-discovery/skills/prioritize-features
Command: npx skills add https://github.com/Choi-Keith/skill-arsenal-ultra --skill prioritize-features-choi-keith

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Product teams often face long feature backlogs with no clear method for deciding what to build first, leading to subjective debates and misaligned priorities. This Skill applies structured prioritization frameworks to rank feature ideas and surface the top 5 worth pursuing. ## Core Features & Use Cases - Multi-Dimensional Scoring: Evaluates each feature on impact, effort, risk, and strategic alignment against stated product goals. - Framework Guidance: Applies Opportunity Score (importance × dissatisfaction), ICE, and RICE methods depending on team size and data availability. - Ranked Recommendations: Delivers a top-5 ranking with rationale, key trade-offs, and explicit reasoning for deprioritized items. - Use Case: A product manager with 20 feature ideas from customer interviews uses this Skill to score each one, producing a prioritized table that anchors the next sprint planning discussion. ## Quick Start Ask the AI to prioritize your feature backlog by describing your product goal and pasting your list of feature ideas or attaching a backlog spreadsheet.

Frequently Asked Questions about prioritize-features

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

FAQPage Schema
How do I prioritize a product feature backlog?

Score each feature on impact, effort, risk, and strategic alignment with your product goals, then rank them. Frameworks like ICE (Impact × Confidence × Ease) or RICE (adding Reach) provide structured scoring, and the output is a top-5 ranked list with rationale.

What is the difference between ICE and RICE prioritization?

ICE scores features on Impact, Confidence, and Ease, making it fast for small teams. RICE adds Reach as a separate factor quantifying how many customers are affected, which suits larger teams with usage data.

What is an opportunity score in product management?

Opportunity Score, from Dan Olsen's Lean Product Playbook, equals importance multiplied by one minus satisfaction, normalized to 0-1. High importance with low satisfaction signals the best customer problems to solve, prioritizing problems over solutions.

Can I prioritize features from a spreadsheet or backlog file?

Yes, you can provide a spreadsheet, backlog export, or opportunity assessment file directly. The Skill reads and analyzes the file contents, then applies the scoring dimensions to rank the features.

When should I not use scoring frameworks for prioritization?

Scoring frameworks are less reliable when you lack customer data to estimate impact, or when a single strategic bet overrides incremental scoring. In those cases, use qualitative judgment anchored to product vision instead.