The Researcher’s Guide to AI-Assisted Qualitative Analysis

Artificial intelligence is rapidly becoming part of the qualitative research workflow—helping researchers summarize data, organize text, and explore patterns faster.

But without the right approach, it can reduce transparency and weaken methodological rigor.

So how do you use AI to enhance your research—without compromising quality?

“The Researcher’s Guide to AI-Assisted Qualitative Analysis” shows you how to integrate AI into your workflow while maintaining control, clarity, and trust in your results.

Here’s what’s inside:

• AI in qualitative research – Explore where it fits and how it supports your workflow
• Responsible AI use – Learn how to protect data, reduce bias, and maintain transparency
• Practical workflows – Combine AI with NVivo and ATLAS.ti for structured, traceable analysis

Whether you’re new to AI or refining your approach, this guide helps you work more efficiently—without sacrificing rigor.

*Winners will be contacted after the end of the conference.