Is intercoder reliability mandatory in this framework?

Yes. To ensure scientific rigor, the framework requires a reliability check on a 10-20% sample of the data to verify that coding is consistent and objective.

What is the difference between this and the hypothesis-testing skill?

The hypothesis-testing skill is for quantitative data validation (stats and numbers), while the qualitative-research skill is for systematic analysis of non-numerical data like text and observations.

How does this skill prevent researcher bias?

The skill mandates a reflexivity baseline where assumptions are documented upfront, enforces intercoder reliability checks, and requires a search for disconfirming evidence before finalizing themes.

What is the Qualitative Research skill for Claude Code?

It is a specialized framework that guides Claude through a 6-phase scientific process to design, collect, and analyze qualitative data like interviews, focus groups, and surveys.

Can I use this skill if I already have my research data?

Yes. While the skill covers the full lifecycle, it allows for 'Flexible Entry' at Phase 3 (Data Familiarization) if you provide existing transcripts or survey results in a raw-data directory.

Qualitative Research - Claude Code Skill for User Analysis

概要

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.

主な機能

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

ユースケース

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

概要

主な機能

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

ユースケース

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

Qualitative Research Framework

Qualitative Research Framework

概要

主な機能

ユースケース

概要

主な機能

ユースケース