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Zurich University
of Applied Sciences

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Next-Gen Feedback Mining: Insights and Actions through AI Dialogue

Description

Traditional surveys are often limited in their ability to deliver in‑depth insights for strategic decision‑making.

By introducing LLMs to conduct dynamic feedback conversations, relevant topics, patterns, and causal relationships can be systematically extracted, as LLM‑driven dialogues enable adaptive questioning, deeper contextual understanding, and the capture of complex feedback.

This creates the foundation for developing evidence‑based, and differentiated recommendations for action.

Key data

Projectlead

Deputy Projectlead

Project partners

echonovum AG

Project status

completed, 02/2026 - 08/2026

Institute/Centre

Institute for Data Science (IDS)

Funding partner

Innosuisse Innovationsscheck

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