Educación
Qualitative Coding Methodology Reference
Qualitative coding methodology expertise for QualCoder v2 development.
Provides research-grounded knowledge of coding methods, frameworks, and AI-assisted analysis.
**Invoke when:**
- Implementing coding features (code creation, hierarchy, memos, segments)
- Designing AI-assisted coding workflows (LLM suggestions, auto-coding)
- Making UX decisions about coding interfaces
- Writing domain entities, events, or invariants for the coding bounded context
- Evaluating feature parity with NVivo, ATLAS.ti, MAXQDA
- Discussing qualitative research methodology with users
**Provides:**
- Saldana's coding method taxonomy (35+ methods across 7 categories)
- Framework knowledge (Grounded Theory, Thematic Analysis, Framework Analysis, IPA)
- Quality criteria (Lincoln & Guba trustworthiness, inter-coder reliability)
- AI-assisted coding best practices and ethical guardrails
- Feature-to-methodology mapping for implementation decisions