AI for UX research and design — IxDF course review

The Interaction Design Foundation (IxDF) offers this course as part of its subscription-based platform, covering AI applications across UX research, wireframing, chatbot design, and computer vision products. IxDF courses are known for academic rigor combined with practical exercises, and this one follows that pattern.

Structure

The course spans four main sections. The first covers AI writing tools for UX research, including discovery research preparation and research study planning. The second introduces AI research tools such as Scholar GPT, Dovetail, Notion AI, and Marvin for synthesizing user research data. The third section covers AI design tools, including AI-assisted wireframing in Figma and generative AI for visual asset creation. The final section addresses building AI products, covering chatbot experience design and AI computer vision tool design.

Who it’s for

UX researchers and designers who want a structured, curriculum-based approach to learning AI tools for their work. The course suits professionals who prefer IxDF’s learning format — peer discussions, reading lists, and progressive assignments — over video-only courses. IxDF membership is required.

Strengths

IxDF’s peer-reviewed curriculum means the content is vetted for quality and updated regularly. The breadth of tools covered (Scholar GPT, Dovetail, Notion AI, Marvin, Figma AI) gives learners exposure to the actual tool ecosystem rather than a single vendor’s products. The research-first orientation is distinctive: most AI design courses prioritize visual generation, while this one gives equal weight to research synthesis.

Limitations

IxDF requires a subscription, which may not be justified if this is the only course you need. The course covers many tools at an introductory level, which means depth on any single tool is limited. The chatbot design and computer vision sections may not be relevant for designers who work exclusively on screen-based products.