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analyze-feature-requests

Analyze feature requests by theme, impact, effort, and strategic alignment.

5|2|Updated Mar 27, 2026
Search Tags:#prioritization#backlog#triage#product-strategy#impact-effort#feature-requests#opportunity-score
One-click install
npx skills add https://github.com/tarunccet/pm-skills --skill analyze-feature-requests-tarunccet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyze-feature-requests
Source: https://github.com/tarunccet/pm-skills/tree/main/pm-product-discovery/skills/analyze-feature-requests
Command: npx skills add https://github.com/tarunccet/pm-skills --skill analyze-feature-requests-tarunccet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts raw customer feature requests and backlog items into a prioritized set of opportunities so product teams can decide what to build next with clarity and confidence.

Core Features & Use Cases

  • Theming & Categorization: Groups related requests into clear themes to reduce duplication and reveal underlying opportunities.
  • Strategic Assessment & Scoring: Evaluates alignment with product goals and uses Opportunity Score-style thinking to weigh importance, satisfaction, impact, effort, and risk.
  • Prioritization & Actionable Output: Recommends the top three features with rationale, alternative solutions, high-risk assumptions, and simple experiments to validate them. Use cases include customer support triage, backlog grooming sessions, and pre-sprint prioritization.

Quick Start

Analyze the attached feature request list for my product and prioritize the top three opportunities by impact, effort, risk, and strategic alignment.

Frequently Asked Questions about analyze-feature-requests

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

FAQPage Schema
How do I prioritize feature requests by impact and effort?▼

Prioritize feature requests by grouping raw inputs into themes, assessing strategic alignment, and calculating an opportunity score based on importance, satisfaction, impact, effort, and risk to recommend the top three features.

What is the best way to triage a backlog of customer feature requests?▼

Triage a backlog of customer feature requests by categorizing related items into clear themes to reduce duplication, evaluating strategic fit, and generating a prioritized list of opportunities with rationale and validation tests.

Can I use opportunity scoring for pre-sprint backlog grooming?▼

Yes, you can use opportunity scoring for pre-sprint backlog grooming by weighing feature importance against customer satisfaction and effort to produce actionable recommendations for your next sprint.

How do I group duplicate feature requests into themes?▼

Group duplicate feature requests into themes by analyzing raw customer inputs and backlog items, categorizing them into clear groupings that reveal underlying product opportunities and reduce redundancy.

Does prioritizing features this way provide alternative solutions and tests?▼

Yes, prioritizing features this way provides alternative solutions and lightweight tests by outputting recommendations that include rationale, high-risk assumptions, and simple experiments to validate the top opportunities.

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