product-manager-toolkit

To prioritize features using the RICE framework, this toolkit provides Python scripts that calculate scores based on Reach, Impact, Confidence, and Effort. You can input your features from a CSV file to objectively rank them against your team's capacity.

To extract customer insights from interview transcripts, you can use the provided Python analysis scripts. These tools analyze raw transcript text to uncover user pain points, feature requests, and specific needs, transforming qualitative feedback into structured product data.

The PRD template included in this toolkit provides a structured Markdown format for clear and comprehensive product requirement documents. It helps product managers define feature specifications, aligning development teams from ideation through go-to-market strategy.

Yes, you can use this toolkit to analyze customer interview feedback, prioritize the resulting feature ideas using the RICE framework, and then draft a PRD for the top-ranked feature. This supports structured product development end-to-end.

Yes, the toolkit supports automated feature prioritization for a set team capacity, such as 15 person-months. It processes your feature inputs to output a ranked list of items that fit within your defined resource constraints.