How does the interview analyzer work?

It uses NLP-based scripts to process raw text transcripts, automatically identifying pain points, feature requests, and sentiment without manual tagging.

What is the RICE prioritizer used for?

The RICE prioritizer is a script that calculates scores based on Reach, Impact, Confidence, and Effort to help teams objectively rank features and plan quarterly roadmaps.

What types of PRD templates are included?

The toolkit provides several formats: Standard PRDs for major features, One-Page PRDs for quick alignment, Agile Epic templates, and Lightweight Feature Briefs.

Can I integrate this with existing PM tools?

Yes, the toolkit supports JSON and CSV outputs designed to integrate with platforms like Jira, ProductBoard, Linear, and Notion.

Product Manager Toolkit

Name: Product Manager Toolkit
Author: pur3v4d3r

bypur3v4d3r

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Productividad y Flujo de Trabajo

Empowers product teams with automated RICE prioritization, NLP-driven interview analysis, and standardized documentation frameworks.

Acerca de

The Product Manager Toolkit is a specialized set of tools designed to bridge the gap between product strategy and execution. It features automated Python scripts for RICE scoring and portfolio analysis to help teams prioritize backlogs against actual capacity, alongside NLP-powered interview analysis to extract actionable pain points from customer transcripts. With a library of PRD templates and discovery frameworks like North Star mapping and Opportunity Solution Trees, this skill provides a structured approach for PMs to move from raw feedback to validated requirements and successful delivery.

Características Principales

NLP-based customer interview analysis for pain point and sentiment extraction
Automated RICE framework implementation with portfolio balance and capacity planning
Integrated discovery frameworks for hypothesis testing and customer journey mapping
1 GitHub stars
Multi-format PRD templates including Standard, One-Page, and Agile Epic formats
Success metric frameworks for North Star identification and funnel analysis

Casos de Uso

Prioritizing a feature backlog against team velocity for quarterly roadmap planning
Standardizing requirement documentation for cross-functional engineering and design alignment
Synthesizing dozens of user interview transcripts into prioritized feature requests

Acerca de

Características Principales

NLP-based customer interview analysis for pain point and sentiment extraction
Automated RICE framework implementation with portfolio balance and capacity planning
Integrated discovery frameworks for hypothesis testing and customer journey mapping
1 GitHub stars
Multi-format PRD templates including Standard, One-Page, and Agile Epic formats
Success metric frameworks for North Star identification and funnel analysis

Casos de Uso

Prioritizing a feature backlog against team velocity for quarterly roadmap planning
Standardizing requirement documentation for cross-functional engineering and design alignment
Synthesizing dozens of user interview transcripts into prioritized feature requests