How does this skill prioritize features?

It uses a multi-dimensional approach evaluating Impact (customer value), Effort (development cost), Risk (technical/market), and Strategic Alignment, often incorporating Dan Olsen's Opportunity Score.

Does this skill help with solution design?

It focuses primarily on prioritizing 'opportunities' or problems to solve rather than just features, ensuring you build what truly matters to users.

Can I use my own spreadsheets with this skill?

Yes, the skill is designed to read and analyze data directly from files like CSVs, spreadsheets, or text documents containing feature requests.

What frameworks does it support?

It integrates concepts from the Kano Model, Dan Olsen's Opportunity Score, and Continuous Product Discovery principles to avoid 'feature factory' outcomes.

Feature Request Analyzer

Name: Feature Request Analyzer
Author: KoryakinYurij

byKoryakinYurij

0•

Collaboration Tools

Categorizes and prioritizes product feature requests based on strategic alignment, customer impact, and technical risk.

This skill transforms raw customer feedback and backlog items into actionable product insights by applying rigorous prioritization frameworks like Dan Olsen's Opportunity Score. It helps product managers and developers move beyond 'feature factory' behavior by focusing on problem-solving, identifying high-impact themes, and evaluating the strategic alignment of each request against core business goals. By analyzing data directly from spreadsheets or documents, it provides a structured approach to triaging requests while identifying high-risk assumptions and proposing low-effort validation methods.

Key Features

01Alternative solution brainstorming for high-priority opportunities

02Automated thematic grouping of bulk feature requests

030 GitHub stars

04Identification of high-risk assumptions with validation strategies

05Multi-dimensional scoring based on impact, effort, and risk

06Strategic alignment evaluation against specific product objectives

Use Cases

01Triaging a large backlog of customer requests from CSV or spreadsheet exports

02Analyzing customer feedback to identify unmet market opportunities and user pain points

03Preparing for product roadmap planning sessions with data-driven prioritization

Key Features

01Alternative solution brainstorming for high-priority opportunities

02Automated thematic grouping of bulk feature requests

030 GitHub stars

04Identification of high-risk assumptions with validation strategies

05Multi-dimensional scoring based on impact, effort, and risk

06Strategic alignment evaluation against specific product objectives

Use Cases

01Triaging a large backlog of customer requests from CSV or spreadsheet exports

02Analyzing customer feedback to identify unmet market opportunities and user pain points

03Preparing for product roadmap planning sessions with data-driven prioritization