pair-process-specify-prd

To create a Product Requirements Document with AI assistance, you invoke a structured workflow that analyzes PRD templates, asks hypothesis-driven questions to gather information, and compiles a draft for iterative review and approval. It ensures all standard sections are covered using quality standards from examples.

Hypothesis-driven questioning for PRD generation is a mechanism where the AI proposes assumptions about your product needs for rapid confirmation or correction, efficiently gathering necessary information with minimal manual input to draft accurate specifications.

You can update specific sections of an existing PRD without rewriting the entire document through idempotent updates. The system detects existing PRDs and allows targeted section updates or full reviews, preserving existing content while applying changes.

Automated PRD generation works without existing documentation by asking targeted questions based on the lack of current information. It analyzes your PRD template and guides you through a structured process to build the document from scratch.

The best way to ensure comprehensive coverage in product specifications is to use a structured generation process that analyzes templates and adheres to quality standards defined in examples, ensuring all standard PRD sections are covered through iterative review.