product-manager-toolkit

RICE prioritization scores features by calculating Reach, Impact, Confidence, and Effort to balance value against required work. This toolkit automates RICE scoring across features to generate a reproducibly prioritized feature list for product teams.

Customer interview transcripts are analyzed using included scripts to extract pain points, Jobs-To-Be-Done, and recurring themes. These scripts synthesize raw user research data into structured insights for product discovery and alignment.

Standardizing PRD templates and discovery frameworks is achieved using the included reference documents for rapid documentation. These templates consolidate product requirement documentation and discovery playbooks to align teams and streamline delivery.

No external dependencies are required to run the product management discovery workflows. The toolkit relies solely on included scripts and reference documents to execute feature prioritization, interview analysis, and documentation.

Transitioning from user research to go-to-market planning involves running the end-to-end playbooks included in the toolkit. These playbooks connect discovery frameworks, RICE prioritization, and PRD documentation with sample data for complete product strategy development.

Feature prioritization becomes siloed when discovery, documentation, and scoring are spread across disconnected templates and tools. This toolkit consolidates those workflows into a single reusable system to prevent fragmented insights and accelerate decision-making.