deep-dive

Requirements crystallization for ambiguous problems requires trace-based investigation before defining specs. A two-stage pipeline coordinates causal investigation first, then seeds a deep interview with those findings to ensure decisions are grounded in observed data.

To carry trace findings forward without losing context, use a context-preserving handoff that injectates evidence into interview initialization. A 3-point injection seeds initial questions from trace data, preserving evidence directly into the final spec.

To start an end-to-end investigation, provide the initial problem to trigger the orchestration pipeline. The system automatically runs the trace investigation, injects findings into the interview, and produces a final spec for downstream execution.

Yes, deep-dive orchestration includes an execution bridge that always hands off to downstream execution tools via a defined pipeline. It enforces structured handoffs to downstream planning and execution systems after spec generation.

Use a trace-based investigation approach when problems are ambiguous or causal and require evidence before defining requirements. If your project needs observed data to ground decisions and reduce rework, this 3-lane trace method applies.

A two-stage trace and interview pipeline separates causal investigation from requirements crystallization, using a 3-lane trace approach and state persistence. Standard gathering often skips trace evidence, whereas this method reduces rework by carrying context forward.