clarify-loop

Batch-driven clarification shapes ambiguous requirements into coherent sequential questions, providing recommended options with justifications to systematically refine user stories. It operates in configurable batch sizes to maintain interaction discipline.

Batch processing for requirements clarification groups questions into configurable batch sizes with enforced answer limits, keeping the interactive dialogue efficient and traceable. Each batch provides recommended options with justifications to guide consistent user responses.

Generate traceable acceptance criteria by running an interactive clarification loop that automatically records all user answers into a structured clarifications log. This log provides a verifiable foundation for downstream planning tools and design alignment.

Enforce interaction discipline by setting a configurable batch size and answer limits within the clarification loop. This maintains a structured questioning rhythm and prevents unbounded conversational drift during requirements gathering.

Yes, you can use batch-driven prompts for new project requirement discovery by enabling the interactive dialogue at project startup. It systematically converges requirements by presenting questions in batches with recommended options and justifications.

Produce a structured clarifications log for downstream planning by recording all session-based clarifications and answers throughout the batch-driven dialogue. The resulting summary maps directly to downstream tools needing defined acceptance criteria and user stories.