Marketplace @knack analyze-feature-requests

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.

v0.1.0 by @knack (Knack) analyze-feature-requests

Install with the knack CLI: knack pull @knack/analyze-feature-requests — then it runs in Claude Code, Cursor, Codex, or any agent that reads the open Anthropic Skills format.

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:

  1. Understand the goal: Confirm the product objective and desired outcomes that will guide prioritization.

  2. Categorize requests into themes: Group related requests together and name each theme.

  3. Assess strategic alignment: For each theme, evaluate how well it aligns with the stated goals.

  4. 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
  5. 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