product-manager-toolkit

To prioritize features with the RICE framework, you objectively score ideas based on Reach, Impact, Confidence, and Effort. This toolkit provides Python scripts that calculate these metrics to rank features and enable data-driven product decisions.

Yes, you can automatically extract pain points and feature requests from customer interview transcripts. The toolkit uses NLP scripts to analyze text files, synthesizing key themes for product strategy development.

The best way to write a Product Requirements Document is using structured PRD templates. This toolkit provides Markdown references and frameworks to guide PRD creation, ensuring you cover essential strategy and success metrics.

You need Python to run the RICE prioritization and customer interview analysis scripts, which handle data-driven decision logic. However, the included PRD templates and strategy references are Markdown files requiring no Python environment.

To analyze an interview transcript file for feature requests, you run the provided Python script against your text file. It processes the transcript to identify key themes, pain points, and requests for product strategy.