deep-interview

To turn a vague product idea into clear requirements, Socratic interviewing asks targeted questions to surface hidden assumptions, narrow scope, and define explicit success criteria before any execution begins.

Socratic requirement gathering handles scope discovery by asking one targeted question at a time to resolve the weakest area of clarity, ensuring the domain model converges before crystallizing the final specification.

To test assumptions for brownfield software requests, ontology tracking identifies key entities and checks whether the domain model is converging or shifting, while ambiguity scoring measures readiness across goal, constraints, and context.

Yes, you can use ambiguity scoring to prevent premature execution of greenfield projects by applying a threshold-based readiness gate that blocks implementation until sufficient clarity is reached across all criteria.

The best way to establish testable acceptance criteria from an open-ended idea is through iterative questioning and ontology stabilization, which crystallizes vague concepts into a crisp, executable specification.

Your software specification keeps shifting because ontology tracking indicates the domain model has not yet converged, requiring further Socratic interviewing to stabilize key entities and resolve ambiguity before execution.