deep-interview

A Socratic clarification loop reduces ambiguity in vague requirements by guiding targeted questions to elicit explicit, testable specifications. It quantitatively scores ambiguity across goal, constraints, and criteria dimensions until a target clarity threshold is reached.

The best way to turn vague ideas into explicit specifications is a phased workflow conducting iterative interviews and crystallizing artifacts. This execution-bridge hands off quantified specifications directly to downstream planning or automation tools.

Yes, Socratic questioning applies to broad or underspecified requests across both brownfield and greenfield projects. It gathers preflight context for brownfield environments and conducts phased interviews to extract explicit specifications regardless of project age.

Quantitative ambiguity scoring works by measuring vagueness across dimensions like goal, constraints, and criteria. The Socratic loop conducts iterative interview rounds, tracking these scores until a specified target clarity threshold is reached.

Yes, requirement clarification scales from quick to deep inquiries to fit project risk and time constraints. The Socratic interview loop adjusts its depth, conducting iterative rounds of targeted questions to match the necessary scale for execution handoff.

You need a structured pipeline for software requirement interviews to enforce consistency in extracting explicit specs from vague requests. It mandates preflight context, phased interviews, artifact crystallization, and execution-bridge handoff, preventing underspecified requirements from reaching planning.