Qualitative Research Framework

소개

The Qualitative Research skill provides a systematic structure for analyzing interviews, surveys, focus groups, and observational data within Claude Code. It moves beyond casual analysis by enforcing scientific rigor through mandatory checkpoints, including reflexivity documentation, automated intercoder reliability checks, and disconfirming evidence searches. Designed for product managers, UX researchers, and data scientists, it ensures that qualitative insights are validated through a reproducible audit trail, effectively serving as the qualitative counterpart to quantitative hypothesis testing.

주요 기능

• Structured 'disconfirming evidence' search to prevent confirmation bias
• Mandatory reflexivity baseline to identify and document researcher bias
• Guided 6-phase workflow from research design to synthesis
• Systematic codebook generation with inclusion and exclusion criteria
• 2 GitHub stars
• Automated intercoder reliability checks to ensure analysis consistency

사용 사례

• Validating product-market fit through customer discovery interview analysis
• Synthesizing open-ended survey responses into actionable thematic patterns
• Analyzing user research transcripts to identify pain points and feature requirements