product-manager-toolkit

To calculate RICE scores for your product backlog, you input feature details in a CSV file format into the provided Python prioritization script, which objectively scores and ranks features based on Reach, Impact, Confidence, and Effort.

You can extract jobs-to-be-done from customer interview transcripts using the included Python analysis script, which processes the text to synthesize user insights, pain points, and feature requests.

The best way to write a PRD using a structured template is to utilize the included Markdown reference files, which provide standardized documentation formats for product requirements and feature briefs.

Yes, you need Python3 installed in your environment to execute the RICE prioritization calculator and the customer interview analysis scripts provided in this toolkit.

Yes, you can use this toolkit for strategic product documentation and go-to-market planning, as it streamlines workflows from initial discovery and prioritization through to final documentation.

Your feature data should be in a CSV file format to run the RICE framework calculator script, enabling the automated scoring and prioritization of your product backlog.