product-manager-toolkit

To prioritize your feature roadmap using the RICE framework, you can run the included rice prioritizer script with your feature data. It objectively scores and ranks potential features to enable data-driven decision-making for your next product iterations.

Yes, you can analyze customer interview transcripts to extract product pain points using the customer interview analyzer script. It synthesizes user research to identify specific pain points, feature requests, and jobs-to-be-done from your qualitative feedback data.

Yes, this product management toolkit provides PRD templates for requirement documentation. You can leverage these reference templates to create clear, concise product requirement documents directly within your product development lifecycle workflow.

Yes, you need Python dependencies installed to use the customer discovery and feature scoring scripts. The toolkit relies on libraries like pdfplumber and pypdf to process interview transcripts and parse documents for feature scoring tasks.

The best way to synthesize user research for a feature roadmap is combining the customer interview analyzer with RICE prioritization. First extract user pain points from transcripts, then input those insights into the feature scoring script to rank development priorities.

Yes, you can use pdfplumber to extract text from customer discovery transcripts for analysis. The toolkit uses pdfplumber and pypdf dependencies to ingest PDF-based interview transcripts, enabling the script to identify feature requests and jobs-to-be-done.