product-manager-toolkit

RICE prioritization scores features by Reach, Impact, Confidence, and Effort to generate a ranked product roadmap. You can run the RICE prioritizer directly on a features.csv file to calculate scores and produce a prioritized delivery plan for quarterly planning.

Yes, you can extract customer pain points, Jobs-To-Be-Done patterns, and recurring themes from interview transcripts. The Customer Interview Analyzer processes transcript inputs to uncover customer needs and systematically identify discovery insights for product development.

Templates are available for Product Requirements Documents (PRDs), hypothesis testing, opportunity trees, and go-to-market checklists. These templates streamline requirements documentation and align cross-functional teams from discovery through delivery.

Yes, the toolkit accepts deterministic CSV inputs for portfolio analysis and RICE scoring. Executable Python scripts process the defined feature sets to balance your portfolio and generate prioritized roadmaps for cross-functional team alignment.

The best way to plan go-to-market strategies after feature prioritization is using the built-in go-to-market checklists and design-to-delivery templates. These streamline execution across teams and ensure stakeholder alignment from discovery through delivery.