Thematic Analysis & Codebook
Build a codebook and thematic map
Thematic Analysis & Codebook
Build a codebook and thematic map
Showcase
Description
Creates a systematic codebook and thematic map from your raw data excerpts or initial open codes, recommending codes in a parent-child structure for use in MAXQDA/NVivo. Supports inductive, deductive, or hybrid analysis approaches. Who it's for: researchers conducting thematic or content analysis.
Recommended by
Shuting@YouMind
Why we love this skill
Transforms raw excerpts and open codes into a clearly bounded codebook, subthemes, and an explained theme map using the Braun and Clarke approach, with MAXQDA/NVivo-compatible hierarchy recommendations.
Best for
Suitable for qualitative researchers conducting thematic or content analysis.
How to use this Skill
Provide your input
Provide your research question, raw data excerpts or initial open codes, and, if available, your analytic approach or theoretical framework.
Run the Skill
Your inputs are reviewed for thematic analysis, and relationships between codes and themes are organized.
Review your result
You receive a codebook with code definitions and criteria, subtheme groups, and a parent-child thematic map.
Related Skills
View all
ResearchInterview & Focus Group Guide
Creates a complete semi-structured interview guide or focus group protocol—from warm-up questions through closing—based on your research question and participant profile. Generates non-leading, open-ended questions and suggests a preliminary code list for use in MAXQDA/NVivo. For: academics and graduate students conducting qualitative or mixed-methods research.

Bibliometric Findings Writer
Transforms the raw numbers from VOSviewer or Biblioshiny (Bibliometrix/R)—including keyword frequencies, citation network clusters, annual publication trends, and country/institution/journal distributions—into interpreted text ready for academic publication. Rather than repeating the numbers, it uses an academic tone to explain how the literature is evolving and avoids speculative causal claims. Suitable for researchers writing theses or articles who need to prepare a bibliometric analysis section but struggle to translate raw data into academic language. Usage: Paste the cluster/keyword list from VOSviewer or the Biblioshiny summary table directly; the skill names and interprets keyword clusters thematically, and evaluates citation networks and country collaboration patterns.
ResearchMeta-Analysis Report
Produces a complete Methods + Results + Limitations text from your meta-analysis statistics (pooled effect size, I², Q, tau², and publication bias indicators), in line with PRISMA 2020 and the Cochrane Handbook. It never misinterprets I² values (including the percentage of variance explained) and avoids overstated causal language, using cautious wording such as “the findings are consistent with...” instead of “the evidence shows that...”. It also provides at least three potential reviewer questions and response statements that can help address them. Suitable for researchers writing a meta-analysis paper who want to strengthen their Methods section before journal submission. What it does not do: it does not calculate statistics from raw data (you must already have calculated your R/RevMan/CMA output); it only converts and interprets the results as academic text.
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
- Use cases
- Research & analysis
- What you get
- DocumentDiagram