How does this skill help with research quality?

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

What specific outputs does the skill generate?

It produces systematic phase reports, interview memos, a codebook with definitions, participant profiles, and a final quote database organized by finding.

What research methodologies does Interview Analyst support?

The skill is grounded in pragmatic qualitative analysis, drawing on the works of Gerson, Damaske, Lareau, Small, and Calarco to support both theory-driven and inductive research.

Can I use my own theoretical framework with this skill?

Yes. Track A (Theory-Informed) specifically synthesizes user-provided materials in a dedicated directory to create sensitizing questions for the analysis.

Interview Analyst

Name: Interview Analyst
Author: nealcaren

bynealcaren

•

数据科学与机器学习

Conducts systematic qualitative analysis of interview data for sociological research using theory-informed or data-first methodologies.

Interview Analyst transforms raw qualitative transcripts into rigorous research findings through a structured, five-phase workflow based on established sociological methodologies. It guides researchers through theory synthesis, data immersion, systematic coding, and interpretive explanation, ensuring academic rigor via built-in quality checkpoints like cognitive empathy and heterogeneity assessments. The skill generates organized outputs, including participant profiles and a structured quote database, designed to integrate seamlessly with professional research write-ups and academic publications.

主要功能

019 GitHub stars

02Integrated quality checkpoints based on Small & Calarco’s qualitative literacy framework

03Dual-track analysis supporting both theory-informed and data-first inductive approaches

04Systematic five-phase workflow from initial data immersion to final synthesis

05Comprehensive quote database construction to support evidence-based findings

06Automated generation of codebooks, analytical memos, and participant profiles

使用场景

01Evaluating qualitative findings against established academic standards for validity and reflexivity

02Developing rigorous codebooks and identifying cross-participant patterns for dissertations

03Analyzing large sets of sociological interview transcripts for academic journal articles

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nealcaren/social-data-analysis interview-analyst

For use in Claude.ai and ChatGPT

Download Skill