LLM-powered workflow to support qualitative data analysis. Lessons learned from an applied research project

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Authors: Anton Fedosov, David Kern, Clara-Maria Barth
Cited by: 0

Abstract

The Large-Language Models (LLMs) show potential to optimize the data analysis process in time-demanding industry projects. We present an AI-powered workflow to facilitate the qualitative data analysis process, which we developed and adopted in an applied research project in the context of active and assisted living (AAL), interviewing 19 older adults and their caregivers. We report on the encountered challenges during our process and reflect on the trade-offs qualitative researchers should consider when employing such tools in their practices.

Fields of Study & Subjects

Computational and Text Analysis Methods Qualitative Research Methods and Applications Data Analysis and Archiving

Publication details

Journal / source
Zurich Open Repository and Archive (University of Zurich)
Publication date
2 March 2026
Language
EN