1-Hour Free Online Workshop: AI for UX Interview Analysis

​Using AI to Explore UX Interviews: Embeddings, RAG, and Practical Workflows

​In this 1-hour session, we will take a practical look at how AI can support interview analysis in UX research. This is not a deep technical training. It is a guided walkthrough of what these techniques are, how they work at a high level, and how you might start using them responsibly in your own projects.

​We will introduce three core ideas in simple, applied terms:

• ​How embedding models turn interview segments into searchable semantic space

• ​How large language models can synthesize insights from selected evidence

• ​How Retrieval Augmented Generation, or RAG, helps avoid token limits and reduces hallucination by grounding answers in retrieved quotes

​You will see what a basic pipeline looks like: chunking interviews, embedding them, storing them, and then asking structured questions over the dataset. We will also discuss when this approach makes sense and when traditional close reading is still the better option.

​The focus will be practical and realistic. We will talk about:

• ​How to make large interview datasets searchable by meaning rather than keywords

• ​How to build an interactive review layer for stakeholders

• ​How to keep outputs traceable to original quotes

• ​How to use AI as an assistant, not a replacement for interpretation

​By the end of the session, you will have a clear conceptual understanding of how embeddings, LLMs, and RAG can fit into UX workflows, and how they can help scale qualitative work without giving up rigor.

​This workshop is for UX researchers who are curious about AI but want to use it thoughtfully, not blindly.