Quant UX Training

February 11-12, 2025:
User-Centered Product Instrumentation and Metrics
San Francisco, CA


Instructor: Don Kalar, UXR Manager and Staff Quant UX Researcher, Google
February 11-12, 2025 at Fort Mason, San Francisco (1:00-4:00pm each day)

This two half-day, in-person course focuses on how to turn telemetry from user interactions into useful metrics. Topics covered will include: how to collaborate effectively with cross-functional partners to implement and interpret a measurement strategy, the pragmatics of modeling behavior based on limited signals, approaches to identifying instrumentation needs that are user-centered, ethics and responsibilities of gathering behavioral data for research, and more.

Prerequisites: None. This course is suitable for all researchers, or those curious about gathering user-centered data at scale to help inform product health. There is no requirement to know a specific programming language, statistics platform, or front-end library. There will be collaborative exercises that allow for networking with colleagues. 

Join us at Fort Mason for this live class from the Quant UX Association! Registration for this 2-day class is $650.

To register, visit https://ticketstripe.com/product-analytics-feb2025 (Note: this course is not available virtually.) 

April 28—30, 2025:
Fundamentals of Analyzing Logs, New York, NY

Instructor: Randy Au, Quant UX Researcher, Google
April 28-30, 2025 at Candid New York (Wall St. area) (1:30-4:30pm daily; after the Choice Modeling class below)

This 3 half-day class gives students the foundation to analyze telemetry logs and derive insight. This hands-on course starts by assuming no technical infrastructure is in place to analyze logs. It uses simple tools and theory to get results. It then works towards using modern tools to achieve similar outcomes at greater scale. The class divides its focus between the analytical frameworks needed to do meaningful analysis, and the technical skills needed to implement those frameworks and get results. 


Participants should have day-to-day, basic fluency in a computational programming language of their choice, such as Python or R. Also, the class will use basic OS command line tools such as grep and wc, as well as some SQL with DuckDB. In class, you will use your preferred language to manipulate and wrangle data files to analyze them. Although you may use any language, the instructor will demonstrate and share Python and SQL code.


Early Bird Registration is $695 until March 1, 2025.


To register, visit Fundamentals of Analyzing Logs for User Research on TicketStripe (Note: not available virtually.) 

April 28—May 1, 2025:
Choice Modeling Master Class, New York, NY

Conjoint Analysis and MaxDiff Methods to Prioritize Customer Needs
Instructor: Chris Chapman PhD, President, Quant UX Association; Co-Chair, Quant UX Con
April 28-May 1, 2025 at Candid New York (Wall St. area) (9:30a-12:30p daily; before the Logs class listed below)

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. 

Early Bird Registration is $950 until March 1, 2025.

For full details, see the complete Choice Modeling Master Class Description (Note: not available virtually.)  
To register, visit Choice Modeling Master Class on TicketStripe.

[Available online post-event through video archive]
Segmentation Bootcamp, Online

Segmentation Bootcamp (Live Online Course):
How to Manage Successful Segmentation Efforts, from the Methods through Organizational Politics

Instructor: Keith Chrzan, Senior Vice President, Sawtooth Analytics

Dates: Available through July 2025 via Video Archive (occurred live January 13-15, 2025)
… on demand via recordings anytime.

This class is for every analyst who wants to succeed with customer/user segmentation efforts! The class introduces segmentation and the challenges that make segmentation difficult. It outlines a process to avoid pitfalls and then goes deep into the analytical steps including research design, variable selection, and the wide variety of methods available to generate segments. It concludes with advice to run segmentation projects successfully.

Prerequisites: None … except to be an analyst or researcher interested in quantitative segmentation methods for user or consumer data. This course is designed for analysts working in any consumer industry in user research, marketing research, data science, and related fields. 

Join us online for this expert introduction to segmentation! Tickets are USD $425 for post-class video access.

For full details and registration, visit https://events.ringcentral.com/events/segmentation-master-class-jan2025 

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 — tentative unless a ticket link is provided

Online: On demand: Segmentation Methods, online via video archive   (see above, or get tickets here)

In person: Tentatively: Seattle, August 2025 [stay tuned for details]

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 offer additional virtual options in the future.