AI-Assisted Analysis of Qualitative Data with MAXQDA
Practical Guidance and Methodological Reflections

- Author: Stefan Rädiker
- Released: March 6, 2026
- Language: English
- ISBN: 978-3-948768-20-1
- DOI: 10.36192/978-3-948768201
AI features open up new possibilities for qualitative data analysis—from automatic transcription and AI-assisted summaries to interactive chat with your research data. This guide provides a systematic overview of MAXQDA’s AI functions and shows how they can be meaningfully integrated into the research process:
• Automatic transcription of audio and video files
• Summaries of documents, text passages, and coded segments
• Suggestions for codes and subcodes
• AI-assisted coding of entire documents
• Interactive chat with documents and coded segments
• Supportive functions for explanations and translations
The guide offers numerous example prompts, tips for writing effective code definitions, and practical guidance on quality assurance. It also addresses key questions shaping the current discourse: How reliable and reproducible are AI results? How does AI analysis relate to human analysis? What needs to be considered regarding data protection, and how can AI use be documented transparently?
The guide is intended for researchers who want to explore MAXQDA’s AI functions or use them purposefully in their analyses—regardless of which methodological approach they follow.
Stefan Rädiker
Dr. Stefan Rädiker is a consultant and trainer for research methods and evaluation. He holds a doctorate in educational sciences and his research focuses on computer-assisted analysis of qualitative and mixed methods data (www.research-coaching.de).