product-discovery

Scores and prioritizes product features from user and market signals.

Updated Apr 28, 2026
One-click install
npx skills add https://github.com/khoabd/paperclip --skill product-discovery-khoabd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: product-discovery
Source: https://github.com/khoabd/paperclip/tree/main/skills/product-discovery
Command: npx skills add https://github.com/khoabd/paperclip --skill product-discovery-khoabd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Product teams often waste development resources on low-impact features by relying on gut feel instead of validated user and market evidence, leading to misaligned roadmaps and missed business opportunities.

Core Features & Use Cases

  • Structured Discovery Loop: A repeatable weekly workflow to collect user signals, identify problem patterns, score opportunities, and generate actionable backlog items.
  • Standardized Scoring Framework: A quantitative matrix to prioritize features based on user impact, business value, and development effort, removing bias from prioritization decisions.
  • Use Case: For a SaaS product team, use this skill to analyze recent support tickets, competitor changelogs, and user feedback to identify the top 3 high-impact features to build in the next quarter.

Quick Start

Use the product-discovery skill to analyze this week's user support tickets and competitor updates to generate a ranked list of validated feature opportunities.

Frequently Asked Questions about product-discovery

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

FAQPage Schema
How do I prioritize product features using user feedback and support tickets?

To prioritize product features using user feedback, you systematically collect user signals and score opportunities based on user impact, business value, and development effort to generate a ranked backlog.

What is the best way to run a weekly product discovery cycle?

A weekly product discovery cycle is a structured loop to collect user signals, identify problem patterns, score opportunities, and generate actionable backlog items that align stakeholders on roadmap decisions.

How does opportunity scoring remove bias from feature prioritization?

Opportunity scoring removes bias by applying a standardized quantitative matrix that evaluates features based on user impact, business value, and development effort rather than relying on gut feel.

Can I use competitor analysis to validate high-impact product opportunities?

Yes, you can analyze competitor changelogs alongside recent support tickets and user feedback to identify and validate the top high-impact features to build in your next product cycle.

Does product discovery work for aligning stakeholders on SaaS roadmap planning?

Product discovery works for SaaS roadmap planning by providing a standardized scoring framework and opportunity brief template that aligns stakeholders on validated feature prioritization decisions.

When should I not use a structured discovery loop for feature prioritization?

You should avoid a structured discovery loop if you lack raw user and market evidence, as the workflow requires actual support tickets and competitor analysis to score opportunities accurately.