speckit-clarify

To resolve ambiguities in feature specifications, you can automate structured clarification using a coverage-based questioning approach. This identifies missing details across functional scope, data models, and integrations, recording clarifications incrementally to reduce downstream rework.

Coverage-based questioning is a method that scans specifications against a comprehensive taxonomy to find missing or unclear details. It generates focused, actionable questions to elicit necessary clarifications across functional scope, data models, user interaction, and non-functional attributes.

You identify missing non-functional requirements by scanning the specification document against a comprehensive taxonomy. This detects underspecified attributes and generates targeted questions to elicit the necessary details before development begins.

Yes, you can update a specification document incrementally with clarified requirements. The process integrates answers directly back into the document, ensuring clarity and reducing the risk of misunderstandings during implementation.

Yes, this requirement clarification approach works without external dependencies. It operates autonomously to scan specifications, identify ambiguities, and generate targeted questions without requiring additional frameworks or libraries.

Underspecified requirement clarification reduces downstream rework by systematically identifying and resolving ambiguities before development begins. This ensures all functional scope and data models are clearly defined, preventing misunderstandings during implementation.