Quantitative UX (From Basics to Advanced) 10-hours

​This is a hands-on, five-session learning experience (10 hours total) designed for UX designers and researchers who want to make sense of data, run rigorous studies, and bring more clarity and confidence to their work. These skills matter more than ever as AI reshapes how UX teams collect, analyze, and act on data.

​After running many sessions of this workshop, I've spent the last few months updating the entire curriculum, refining the methods, datasets, and exercises to bring them in line with the current needs of UX research and the technology shaping it, including the growing role of AI in everyday research practice.

​The course starts from the very basics (no statistics background needed) and gradually builds toward advanced analytical methods used in modern UX research. Each session includes guided exercises, UX datasets, and curated resources that together form a solid foundation for anyone looking to integrate quantitative thinking into their design or research practice. All sessions are online and practical, using simple, accessible tools such as Jamovi, JASP, and R, along with AI assistants to help you write analysis code, interpret outputs, and check your reasoning. You'll also learn when to trust AI-generated analysis, and when not to.

​Session Schedule Sessions run every Saturday, 10:00 AM to 12:30 PM CDT

​Session 1: August 15, 2026 – Descriptive & Parametric Statistics: Seeing the Story Behind the Numbers

​Session 2: August 22, 2026 – Non-Parametric Tests: Making Sense of Messy, Real-World Data

​Session 3: August 29, 2026 – Bayesian Statistics: Updating Evidence Like a Designer

​Session 4: September 5, 2026 – Regression Analysis: Understanding What Drives User Outcomes and the Foundation Behind Predictive AI

​Session 5: September 12, 2026 – Modeling & AI: Machine Learning, LLMs, and Advanced Methods for Smarter UX Decisions