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Tonybleything76
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product-manager-toolkit

Score features with RICE and analyze customer interview transcripts.

Updated Mar 4, 2026
Search Tags:#product management#user research#prioritization#PRD#customer discovery#RICE framework
One-click install
npx skills add https://github.com/Tonybleything76/more-claude-skills --skill product-manager-toolkit-tonybleything76
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-manager-toolkit
Source: https://github.com/Tonybleything76/more-claude-skills/tree/main/product-team/product-manager-toolkit
Command: npx skills add https://github.com/Tonybleything76/more-claude-skills --skill product-manager-toolkit-tonybleything76

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires csv, re, json, argparse, typing, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill empowers product managers to streamline complex workflows, from prioritizing features using data-driven frameworks to synthesizing customer feedback and documenting product requirements effectively.

Core Features & Use Cases

  • Feature Prioritization: Utilize the RICE framework to objectively score and rank potential features based on Reach, Impact, Confidence, and Effort.
  • Customer Interview Analysis: Process interview transcripts to extract key pain points, feature requests, and Jobs-to-be-Done.
  • PRD Development: Leverage templates and best practices for creating clear and comprehensive Product Requirements Documents.
  • Use Case: A product manager needs to decide which features to build next quarter. They can use the RICE prioritizer with their backlog to get a data-backed ranking, then use the interview analyzer on recent user feedback to validate assumptions before drafting a PRD for the top-ranked feature.

Quick Start

Use the product-manager-toolkit skill to prioritize features from the file 'features.csv' with a team capacity of 15 person-months.

Frequently Asked Questions about product-manager-toolkit

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

FAQPage Schema
How do I calculate RICE scores for a product backlog in a CSV file?▼

To calculate RICE scores for a product backlog, you can use scripts that parse feature data from a CSV file and compute rankings based on reach, impact, confidence, and effort inputs.

How do I extract jobs-to-be-done and pain points from customer interview transcripts?▼

You can extract jobs-to-be-done and pain points from customer interview transcripts by applying an NLP-based analyzer that processes the text to identify key user feedback and feature requests.

What is the best way to prioritize features for the next quarter with limited team capacity?▼

The best way to prioritize features with limited team capacity is using a RICE framework script to score your backlog and filter features against a defined person-month budget.

Can I use Python scripts to generate a Product Requirements Document from user research?▼

Yes, you can use Python scripts to generate a Product Requirements Document by leveraging built-in templates and best practices alongside NLP analysis of recent user research.

What do I need to run a RICE prioritization script on my features?▼

To run a RICE prioritization script, you need a CSV file containing your feature backlog and a Python environment with standard libraries like csv, re, json, and argparse installed.

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