bmad-advanced-elicitation

Use iterative deeper elicitation to apply Socratic questioning, first-principles thinking, pre-mortems, and red-team style reviews to an LLM's most recent output, selecting context-matched methods to strengthen the answer.

Iterative deeper elicitation is a process that repeatedly applies selected critique and refinement methods to current content until you explicitly choose to proceed. It improves an LLM's output by pushing it to reconsider assumptions and explore deeper critique angles.

Context-aware method selection loads available methods from CSV manifests and selects the best-fit set based on content type, complexity, stakeholder needs, risk level, and creative potential to ensure the critique methods match the specific scenario.

Yes, the interactive governance feature presents one to five method options, supports reshuffling and listing all methods, and requires explicit user confirmation by typing 'y' before applying any improvements to the output.

Use pre-mortems and risk reviews on LLM outputs when deeper analysis is requested for high-stakes scenarios. This approach pushes the model to reconsider assumptions and explore deeper critique angles to produce a more robust, improved result.