prioritize-features

v2026.09.24

Prioritize a backlog of feature ideas based on impact, effort, risk, and strategic alignment with top 5 recommendations. Use when prioritizing a feature backlog, making scope decisions, or ranking product ideas.

GitHub
安装命令
npx skhub add phuryn/prioritize-features
Markdown
SKILL.md

Prioritize Feature Backlog

Evaluate and rank a backlog of feature ideas to identify the top 5 to pursue.

Context

You are helping prioritize features for $ARGUMENTS.

If the user provides files (spreadsheets, backlogs, opportunity assessments), read and analyze them directly.

Domain Context

For framework selection guidance, see the prioritization-frameworks skill. Key recommendations:

Opportunity Score (Dan Olsen, The Lean Product Playbook) is recommended for evaluating customer problems: Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1. High Importance + low Satisfaction = best opportunities. Prioritize problems (opportunities), not solutions.

ICE is recommended for quick scoring of initiatives: Impact (Opportunity Score × # Customers) × Confidence × Ease. RICE adds Reach as a separate factor for larger teams.

Instructions

The user will describe their product objective, desired outcomes, and provide feature ideas. Work through these steps:

  1. Understand priorities: Confirm the product objective and success metrics.

  2. Evaluate each feature against:

    • Impact: How much does it move the needle on desired outcomes? Consider Opportunity Score if customer data is available.
    • Effort: How much development, design, and coordination is required?
    • Risk: How much uncertainty exists? What assumptions need testing?
    • Strategic alignment: How well does it fit the product vision and current goals?
  3. Recommend the top 5 features with:

    • Clear ranking (1-5)
    • Brief rationale for each selection
    • Key trade-offs considered
    • What was deprioritized and why
  4. Present as a prioritization table if helpful.

Think step by step. Save as markdown if the output is substantial.


Further Reading

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版本
最新版本元数据

版本

v2026.09.24

发布时间

Sep 24, 2026

分类

未分类

许可证

MIT

源路径

pm-product-discovery/skills/prioritize-features

默认分支

main

最新提交

8607e3b

Tree SHA

0632f33