speckit-clarify

You can resolve ambiguities in a feature specification by scanning it against a taxonomy to identify unclear functional scope, data models, and integrations, then generating targeted questions to incrementally update the document.

Identifying missing non-functional requirements in a product spec involves systematically checking the document against a comprehensive taxonomy to flag undefined attributes and edge cases, ensuring clarity before the planning phase begins.

You can automate generating clarification questions for underspecified requirements by using a tool that detects ambiguities and outputs a prioritized list of up to five concise, actionable questions for stakeholders to resolve.

Yes, you can incrementally update a specification document by integrating accepted answers directly back into the file, which maintains a clear audit trail and ensures the spec reflects the resolved functional scope.

You need to run a requirement clarification process for feature planning before the planning phase starts, ensuring all functional scope, non-functional requirements, and edge cases are clearly defined to prevent costly downstream rework.