deep-interview

Clarify vague software requirements by conducting a Socratic interview that iteratively exposes hidden assumptions. This questioning refines undefined initial scope into a clear, actionable specification by scoring ambiguity across goal, context, and success criteria dimensions.

The Socratic method for requirements gathering uses targeted questioning to mathematically gate ambiguity. It assigns a clarity score across constraints and goals, refusing to proceed with planning until ambiguity drops below a set threshold to prevent costly misunderstandings.

Measure ambiguity in project specifications by scoring clarity across goal, constraints, success criteria, and context dimensions. Reduce this score through iterative questioning that challenges assumptions until the mathematical ambiguity drops below the default 20% threshold.

Yes, requirements gathering via Socratic questioning is specifically designed for undefined initial project scope. It applies optional challenge agents to rigorously test ideas, ensuring robust, unambiguous outputs before proceeding to execution planning.

The best way to turn a vague app idea into an actionable specification is through a rigorous deep interview. It mathematically gates ambiguity by scoring dimensions like goals and constraints, guaranteeing a crystal-clear output before development begins.

Mathematical ambiguity gating prevents premature planning by scoring specification clarity across dimensions like context and goals. It enforces iterative questioning until ambiguity falls below 20%, ensuring the final requirements are completely unambiguous.