Methodology Guide
Codebook Thematic Analysis
Braun, Clarke, Hayfield and Terry's structured, codebook-driven approach to thematic analysis, and how QualIntel OS supports systematic application.
What is Codebook Thematic Analysis?
Codebook Thematic Analysis (CTA) is a structured variant of thematic analysis described by Braun, Clarke, Hayfield and Terry (2019). Unlike Reflexive Thematic Analysis, which foregrounds the researcher's active interpretive role, CTA uses a pre-defined codebook applied systematically and consistently across the dataset.
CTA sits closer to traditional qualitative content analysis in its disciplined, codebook-first application. It is commonly used in applied research, programme evaluation, health services research, and team-based projects where consistent, replicable application of a defined code scheme is important.
Commonly used in: Applied research, programme evaluation, health services research, social policy, team-based qualitative projects
Why rigour documentation matters
CTA requires consistent, documented application of a defined codebook. Examiners and clients expect to see the codebook itself (with code definitions), evidence of how codes were applied across the data, and documentation of any code revisions made during analysis and the rationale for them. When multiple coders are involved, a record of coding decisions is important for credibility.
How QualIntel OS supports Codebook Thematic Analysis
- Codebook-first workflow is the natural fit for CTA — build and finalise the codebook before evidence review begins
- Each code application is logged with researcher decision and timestamp — every accepted or rejected AI suggestion is recorded
- Fixed codebook applied systematically across all uploaded documents and transcripts
- Submission export includes the complete codebook with code definitions and evidence count per code
- Quality checks flag uneven coverage — codes missing evidence across certain data sources
- AI Disclosure Statement documents AI's role in surfacing candidate evidence vs researcher's role in applying the codebook
Frequently asked questions
What is the difference between Codebook TA and Reflexive TA?
Reflexive Thematic Analysis (Braun & Clarke) centres the researcher's active, reflexive interpretation — themes are researcher constructions that may evolve throughout analysis. Codebook Thematic Analysis is more structured: it uses a pre-defined codebook applied consistently, with less emphasis on researcher reflexivity and more on reproducible, systematic application. CTA suits applied research and evaluation; RTA suits exploratory, theory-building, and interpretivist work.
How does QualIntel OS support team-based Codebook TA?
QualIntel OS is currently a single-user per project tool. For team projects, one researcher applies the shared codebook and the audit log provides a complete record of all coding decisions reviewable by other team members. The codebook and Evidence Pack export give team leads clear documentation of systematic code application. Multi-user collaborative coding is on the development roadmap.
Can I import a pre-existing codebook into QualIntel OS?
Yes. At Step 0, QualIntel OS extracts candidate codes from your research design document — but you review and modify these before finalising. If you have an existing codebook, you can use the Step 1 codebook editor to add, edit, or create codes directly, rather than using AI extraction. The codebook editor supports free-form code creation regardless of whether AI extraction was used.