research-interviewer

What problem does it solve?

The Research Interviewer skill provides a structured framework for eliciting comprehensive knowledge from interviewees through adaptive questioning, MECE coverage, and rigorous epistemic labeling, ensuring outcomes are complete, consistent, and ready for downstream use.

Core Features & Use Cases

• 12 core capabilities: Establish goals, MECE scope mapping, adaptive elicitation, continuous confidence tracking, validation, surface assumptions, bias protection, steelmanning, probing, calibrating, synthesis, and output generation.
• MECE-driven knowledge map that builds a unified artifact per domain (product, architecture, research, requirements).
• Bias protection and epistemic labeling to surface uncertainty and guide decision-making.
• Use cases include requirements elicitation, problem statement creation, and building knowledge bases for documentation or RAG context.

Quick Start

Provide interview_goal and topic, then choose output_format and validation_mode to begin Phase 1.