Accelerating UX research with AI — NN/g course review

What the course is

A full-day live online course from Nielsen Norman Group taught by Tanner Kohler, Caleb Sponheim, and Maria Rosala. The course covers how to integrate AI into every stage of UX research: planning, study design, data analysis, and communicating findings. It counts toward NN/g’s UX Certification.

Who it’s for

Researchers and people who do research looking to understand where AI fits in their workflows. Prerequisites include some experience using generative AI tools and access to at least one frontier model such as ChatGPT, Gemini, or Claude. The course does not cover prompting fundamentals.

What it covers

The curriculum follows the research process end-to-end. In the planning phase, it covers generating research plans and optimizing screeners, discussion guides, and survey instruments. For analysis, it teaches using AI as a thought partner in qualitative and quantitative synthesis, evaluating AI-generated insights for accuracy and bias, and maintaining data privacy. The communication module focuses on transforming data into visualizations and articulating findings in actionable ways. Throughout, the course addresses the trade-off between quality and speed when applying AI to research.

Limitations

The course assumes existing generative AI familiarity. If you have never used ChatGPT or similar tools, you will need to build that baseline separately. The live format means you need a full day available, though recordings are presumably available for registered participants.