ambiguity-detection

To detect ambiguities in a product requirements document, you analyze the PRD text to surface product, scope, data, risk, and success gaps. This process identifies hidden assumptions and generates structured clarification questions to force decision-making.

Requirements clarification is the process of identifying decision gaps in product specs to prevent misalignment. You need it before roadmap definition, feature decomposition, or execution planning to validate PRDs and minimize downstream rework.

You generate structured clarification questions from a PRD by running text analysis scripts against the requirements file. The process evaluates the document for ambiguities and outputs decision-forcing questions without proposing technical solutions.

Yes, you need Python to analyze requirements for decision gaps because the detection process requires Python libraries for text analysis and processing. These scripts parse the PRD content to identify ambiguities and generate structured outputs.

The best way to validate PRDs before feature decomposition is to systematically scan for product, scope, data, risk, and success ambiguities. This approach ensures decision completeness by surfacing hidden assumptions as structured clarification questions.