Feature Request Prioritizer
Analyze feature requests
Analyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk. Use when reviewing customer feature requests, triaging a backlog, or making prioritization decisions.
--- name: analyze-feature-requests description: "Analyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk. Use when reviewing customer feature requests, triaging a backlog, or making prioritization decisions." --- ## Analyze Feature Requests Categorize, evaluate, and prioritize customer feature requests against product goals. ### Context You are analyzing feature requests for **$ARGUMENTS**. If the user provides files (spreadsheets, CSVs, or documents with feature requests), read and analyze them directly. If data is in a structured format, consider creating a summary table. ### Domain Context Never allow customers to design solutions. Prioritize **opportunities (problems)**, not features. Use **Opportunity Score** (Dan Olsen) to evaluate customer-reported problems: Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1. See the `prioritization-frameworks` skill for full details and templates.
Overview
Categorize, evaluate, and prioritize customer feature requests against product goals.
Manual install (npx, ZIP)
Claude Code
npx skills add phuryn/pm-skills --skill analyze-feature-requests -g -a claude-codeClaude Code (degit)
npx degit phuryn/pm-skills/pm-product-discovery/skills/analyze-feature-requests#main ~/.claude/skills/analyze-feature-requestsClaude.ai / desktop
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SKILL.md
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Analyze Feature Requests
Categorize, evaluate, and prioritize customer feature requests against product goals.
Context
You are analyzing feature requests for $ARGUMENTS.
If the user provides files (spreadsheets, CSVs, or documents with feature requests), read and analyze them directly. If data is in a structured format, consider creating a summary table.
Domain Context
Never allow customers to design solutions. Prioritize opportunities (problems), not features. Use Opportunity Score (Dan Olsen) to evaluate customer-reported problems: Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1. See the prioritization-frameworks skill for full details and templates.
Instructions
The user will describe their product goal and provide feature requests. Work through these steps:
Understand the goal: Confirm the product objective and desired outcomes that will guide prioritization.
Categorize requests into themes: Group related requests together and name each theme.
Assess strategic alignment: For each theme, evaluate how well it aligns with the stated goals.
Prioritize the top 3 features based on:
- Impact: Customer value and number of users affected
- Effort: Development and design resources required
- Risk: Technical and market uncertainty
- Strategic alignment: Fit with product vision and goals
For each top feature, provide:
- Rationale (customer needs, strategic alignment)
- Alternative solutions worth considering
- High-risk assumptions
- How to test those assumptions with minimal effort
Think step by step. Save as markdown or create a structured output document.
Further Reading
| 1 | |
| 2 | name analyze-feature-requests |
| 3 | description "Analyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk. Use when reviewing customer feature requests, triaging a backlog, or making prioritization decisions." |
| 4 | |
| 5 | |
| 6 | ## Analyze Feature Requests |
| 7 | |
| 8 | Categorize, evaluate, and prioritize customer feature requests against product goals. |
| 9 | |
| 10 | ### Context |
| 11 | |
| 12 | You are analyzing feature requests for **$ARGUMENTS**. |
| 13 | |
| 14 | If the user provides files (spreadsheets, CSVs, or documents with feature requests), read and analyze them directly. If data is in a structured format, consider creating a summary table. |
| 15 | |
| 16 | ### Domain Context |
| 17 | |
| 18 | Never allow customers to design solutions. Prioritize **opportunities (problems)**, not features. Use **Opportunity Score** (Dan Olsen) to evaluate customer-reported problems: Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1. See the `prioritization-frameworks` skill for full details and templates. |
| 19 | |
| 20 | ### Instructions |
| 21 | |
| 22 | The user will describe their product goal and provide feature requests. Work through these steps: |
| 23 | |
| 24 | **Understand the goal**: Confirm the product objective and desired outcomes that will guide prioritization. |
| 25 | |
| 26 | **Categorize requests into themes**: Group related requests together and name each theme. |
| 27 | |
| 28 | **Assess strategic alignment**: For each theme, evaluate how well it aligns with the stated goals. |
| 29 | |
| 30 | **Prioritize the top 3 features** based on: |
| 31 | **Impact**: Customer value and number of users affected |
| 32 | **Effort**: Development and design resources required |
| 33 | **Risk**: Technical and market uncertainty |
| 34 | **Strategic alignment**: Fit with product vision and goals |
| 35 | |
| 36 | **For each top feature**, provide: |
| 37 | Rationale (customer needs, strategic alignment) |
| 38 | Alternative solutions worth considering |
| 39 | High-risk assumptions |
| 40 | How to test those assumptions with minimal effort |
| 41 | |
| 42 | Think step by step. Save as markdown or create a structured output document. |
| 43 | |
| 44 | |
| 45 | |
| 46 | ### Further Reading |
| 47 | |
| 48 | [Kano Model: How to Delight Your Customers Without Becoming a Feature Factory] |
| 49 | [Continuous Product Discovery Masterclass (CPDM)] (video course) |
| 50 |
Details
- Updated
- Sep 14, 2026
- License
- MIT
- Stars on the repo
- ★ 26,557
- Checked
- Source
- phuryn/pm-skills ↗
- Creator
- phuryn · 69 listings
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