Quant UX Training
February 10-13, 2025:
Choice Modeling Master Class, San Francisco, CA
Choice Modeling Master Class, San Francisco, CA
Conjoint Analysis and MaxDiff Methods to Prioritize Customer Needs
Instructor: Chris Chapman PhD, President, Quant UX Association; Co-Chair, Quant UX Con
February 10-13, 2025 at Fort Mason, San Francisco
In this in-person course, you’ll learn hands-on how to run effective Choice-Based Conjoint Analysis and MaxDiff surveys. The 4 day workshop provides a complete and practical introduction to choice modeling surveys for industry researchers. You will design, author, field, analyze, and interpret results from both Choice-Based Conjoint and MaxDiff surveys using live data.
Join us in the beautiful waterfront venue at Fort Mason for this live class from the Quant UX Association! Registration is $925 until December 1, 2024 (then $1150 after December 1).
For full details, see the complete Choice Modeling Master Class Description.
To register, visit https://ticketstripe.com/quantux-choice-feb2025 (Note: this course is not available virtually.)
Future Courses
Stay tuned for future classes & locations! Potential topics include additional Choice Modeling classes; Segmentation; R programming; and other Quant UX methods. We are considering virtual options for courses, too, when the topic is appropriate for a good virtual experience.
Currently planned: April 28 - May 1, 2025: Choice Modeling Master Class, New York City [tickets onsale ~ Jan 1]
Winter or Spring 2024-2025: Segmentation Methods, online via webinar [stay tuned for more]
If you'd like to suggest a specific location or topic, let us know: Quant UX Class Suggestions
Class Discounts or Volunteering
As a nonprofit organization, our classes are priced near the minimum possible, after facility fees, catering, and costs incurred by instructors. Unfortunately that means there are no discounts available, except for Early Bird rates. Currently we have sufficient volunteer assistants. For more affordable training options, please stay tuned as we evaluate virtual options in the future.