speckit-specify

To convert natural language feature descriptions into structured specifications, use an automated generation workflow that outputs scope, user scenarios, functional requirements, and acceptance criteria. This transforms informal ideas into actionable planning documents.

The best way to identify ambiguities in feature requirements is using a built-in clarification workflow that surfaces hidden complexities and proposes minimal, testable questions to resolve them before planning begins.

You can generate acceptance criteria and success metrics from a plain text feature idea by applying an automated specification generator. It structures your input into defined sections including user scenarios and measurable success metrics.

Yes, the specification workflow supports iterative refinement for feature scoping through built-in quality governance. It uses a checklist to evaluate and iteratively refine the specification until it reaches planning readiness.

Yes, you can customize the post-specification steps for your product discovery process. The workflow provides extensible hooks that allow you to customize subsequent actions after the core specification is generated.