speckit-specify

To turn a natural language feature idea into testable acceptance criteria, input your plain text description to identify scope, actors, and constraints, which then generates structured user scenarios and validation rules ready for planning.

Writing feature specifications from vague product ideas involves translating the text into structured outputs by defining scope, actors, actions, and data, ensuring your teams have a clear, technology-agnostic blueprint for alignment.

Generate user scenarios and success metrics by processing a feature description through iterative clarification, documenting assumptions to produce a complete, testable specification that guides validation and planning.

Yes, you can use natural language requirements to align engineering and product teams by converting them into structured, technology-agnostic specifications that clearly define constraints, actions, and data.

Feature specification generation works without specific technical dependencies because the outputs are technology-agnostic, focusing purely on scope, constraints, and testable acceptance criteria rather than implementation details.

Document assumptions when creating a testable spec by using iterative clarification during the translation process, ensuring every identified scope, actor, and constraint is explicitly captured for validation.