product-manager-toolkit

To calculate RICE scores, you import a CSV of candidate features into the toolkit. The local Python scripts analyze your reach, impact, confidence, and effort data to output scored priorities and capacity-based roadmaps.

You can extract pain points and themes from customer interview transcripts using the toolkit's NLP analysis. It processes transcript inputs to identify sentiment, notable quotes, and recurring themes for opportunity mapping.

Yes, you can generate a draft PRD with success metrics and out-of-scope items. The toolkit provides multiple PRD templates and review workflows to capture requirements and run engineering review cycles.

The best way to export prioritized roadmaps to issue trackers is by generating the toolkit's native CSV and JSON outputs. These scored priority files integrate directly with roadmapping tools and issue tracking systems.

Yes, the RICE prioritization process supports analyzing quick wins versus big bets. The toolkit evaluates your feature CSV inputs to categorize portfolio strategy and produce aligned capacity-based roadmaps.

You do need local Python scripts to automate feature prioritization and transcript analysis. The toolkit runs these scripts locally to process CSV inputs and execute NLP analysis on interview transcripts.