What problem does it solve?
This Skill helps you systematically code interview transcripts or other qualitative data using grounded theory, producing structured open coding, axial (paradigm model) coding, and optional selective coding outputs with exportable summaries.
Core Features & Use Cases
- Programmatic grounded theory coding: Performs open coding (event → category → analytic category), axial coding (properties/dimensions, paradigm model relations), and guides selective coding (core category → research question → storyline).
- Multi-interview accumulation: Supports constant comparison across multiple interviews, including reuse and revision of an existing coding table.
- Structured outputs and exports: Saves per-interview results into Markdown files and can generate an aggregated Excel once multiple interviews are completed.
Quick Start
Upload or provide the local path to your interview text file, then ask for grounded coding so the Skill can start by collecting the missing study context (research field, topic, interviewee info, and interview order/previous coding table if applicable).