speckit-clarify-zh

To resolve ambiguities in product requirement specifications, you can use structured questioning to generate up to five targeted clarifications, encode answers back into the spec, and document outcomes under a dedicated traceable session.

Specification clarification is the process of identifying and resolving missing decision points in feature specs. You need it when requirements lack defined constraints, roles, or boundaries, which increases the risk of downstream rework.

You identify missing decision points in feature specifications by analyzing core objectives, boundary conditions, and interaction roles, then producing a prioritized list of up to five clarifying questions with concise answer options.

Yes, you can record clarification answers directly into a specification document. The process documents the outcomes back into the specification in a testable way to ensure traceability and minimize downstream changes.

The best way to disambiguate UX flow and data model requirements is through a controlled questioning flow that prioritizes high-impact categories, ensuring structured clarification of constraints and interactions before development begins.