Duration of the workshop
2h

Target groups

Researchers and practitioners who are interested in exploring AI technologies for qualitative data analysis.
No prior programming experience is required — participants just need curiosity and a laptop.

Is the workshop geared at an exclusively German or an international audience?

English-speaking

Workshop language

English

Description of the content of the workshop

Artificial Intelligence is rapidly transforming how qualitative research is conducted — from automating analysis to novel approaches of results presentation. In this hands-on workshop, we will explore how large language models (LLMs) and embedding technologies can be used in qualitative research.
Participants will:
⁠Gain an understanding of the underlying principles of LLMs and embeddings.
⁠Explore real-world use cases in qualitative research, such as coding interview data, clustering open-ended responses, and generating actionable insights.
⁠Work through guided exercises demonstrating how AI can support coding, clustering, and summarizing textual data in market research settings.
We will also discuss methodological challenges, transparency, and limitations of AI-based approaches, and share benchmarking strategies for evaluating model performance in research contexts. The workshop concludes with an open Q&A and exchange session to discuss participants’ experiences, opportunities, and concerns about integrating AI in qualitative research practice.

Goals of the workshop

By the end of the workshop, participants will gain knowledge of LLMs and embeddings.

Necessary prior knowledge of participants

No prior experience with software development or AI tools is required.

Information about the instructors

Founders of xelper, a startup providing AI solutions for qualitative market research.

Participants should bring their own laptops with Internet access.