How does it ensure the quality of qualitative research?

The skill includes a dedicated Quality Checkpoint phase that evaluates the analysis against indicators like cognitive empathy, heterogeneity, palpability, and self-awareness.

What are Track A and Track B in the analysis process?

Track A is a theory-informed approach that begins with existing literature synthesis, while Track B is a data-first approach where patterns emerge from transcripts before engaging with theory.

Does this skill replace the human researcher?

No, the skill acts as a structured assistant to facilitate rigorous processing; the user remains the expert making all substantive judgments about their data and field.

What is the Interview Analyst skill?

It is a specialized Claude Code plugin designed to assist qualitative researchers in analyzing interview data using systematic sociological methods and rigorous academic frameworks.

Can it help with writing the final research paper?

Yes, Phase 5 (Synthesis & Writing) helps structure arguments, select luminous exemplars (quotes), and draft sections based on the previous analytical phases.

Interview Analyst

Name: Interview Analyst
Author: nealcaren

bynealcaren

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데이터 과학 및 ML

Conducts systematic qualitative analysis of sociological interview data using grounded theory and theory-informed frameworks.

소개

The Interview Analyst skill transforms Claude Code into a sophisticated research assistant for sociologists and qualitative researchers. It guides users through a structured five-phase process—ranging from initial data immersion and systematic coding to high-level theoretical synthesis—while adhering to rigorous academic standards like those of Gerson, Damaske, and Small. Whether following a theory-driven (Track A) or an inductive data-first (Track B) approach, the skill ensures methodological transparency with automated reports, quality checkpoints for cognitive empathy and heterogeneity, and a persistent audit trail of analytical memos.

주요 기능

Automated generation of codebooks, analytical memos, and research reports
Systematic five-phase workflow from immersion and coding to interpretation and synthesis
Dual-track analysis supporting both Theory-Informed and Data-First methodologies
Rigorous quality assessments based on Small & Calarco’s qualitative literacy framework
2 GitHub stars
Standardized project folder structure for managing transcripts, theory, and findings

사용 사례

Analyzing semi-structured interview transcripts for a dissertation or academic journal article
Synthesizing complex theoretical frameworks to create sensitizing questions for field research
Performing systematic coding and pattern identification for exploratory sociological studies

소개

주요 기능

Automated generation of codebooks, analytical memos, and research reports
Systematic five-phase workflow from immersion and coding to interpretation and synthesis
Dual-track analysis supporting both Theory-Informed and Data-First methodologies
Rigorous quality assessments based on Small & Calarco’s qualitative literacy framework
2 GitHub stars
Standardized project folder structure for managing transcripts, theory, and findings

사용 사례

Analyzing semi-structured interview transcripts for a dissertation or academic journal article
Synthesizing complex theoretical frameworks to create sensitizing questions for field research
Performing systematic coding and pattern identification for exploratory sociological studies