Coding Workflow

소개

Coding Workflow serves as the operational engine for Stage 2 qualitative research, facilitating a rigorous and transparent analysis of documents. It manages two distinct analytical streams—theoretical pattern extraction from literature and empirical coding of data using the Dialogical Coder—while ensuring the researcher remains actively engaged through mandatory interpretive pauses. By automating progress tracking and generating detailed audit documentation, it transforms AI-assisted coding from a black-box process into a verifiable, scholarly methodology suitable for high-stakes academic or professional research.

주요 기능

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• Comprehensive audit trail generation to document the systematic reasoning behind every coding decision
• Parallel stream orchestration for simultaneous theoretical and empirical analysis
• Configurable interpretive pauses that prompt researchers for periodic reflection and pattern synthesis
• Automated batch document processing with status tracking and progress management
• Integration with specialized agents for Visible Reasoning and Socratic dialogue

사용 사례

• Synthesizing theoretical literature with empirical data to refine research structures and concepts
• Generating transparent documentation and audit trails for qualitative research verification
• Systematically coding large volumes of qualitative documents after an initial manual pilot phase