QUANT UX CON 2026 · WORKSHOP RESOURCES
How to make informed decisions about incorporating AI in UX research workflows.
A 90 min workshop for deciding how to incorporate AI responsibly in the research process, what evidence is needed to trust its work, and where human expertise matters most. Explore the process, examine worked examples, and build an evaluation protocol for your own research.
ABOUT THE WORKSHOP
Us vs. Them: An Evaluation Framework for AI-Assisted End-to-End UX Research Workflows.
As AI becomes part of everyday research workflows, deciding where and how to use it requires more than comparing outputs or measuring efficiency.
In this 90-minute Quant UX Con workshop, we examine human, AI, and human + AI approaches through blinded evaluations across quantitative UX research tasks. Together, we explore how task characteristics, evidence quality, and delegation risk shape what we can reasonably trust, verify, or delegate.
These resources extend the workshop into practical methods you can use to design and evaluate AI participation in your own research.
Goal
Move beyond whether AI can complete a research task to what evidence would justify relying on its work, under which conditions, and with what human oversight.
Who this is for
UX researchers, research leaders, data scientists, and practitioners evaluating where AI belongs in their research processes without compromising methodological rigor or decision quality.
What you'll walk away with
A toolkit for assessing task characteristics, evidence requirements, and delegation risk, plus practical worksheets, and worked examples for designing your own evaluations.
RESOURCES & TOOLS
Learn how to apply this in your work.
FRAMEWORK · WORKSHEET
Recommended for youAI Evaluation Design Canvas
Start here to frame your evaluation
Identify what you're evaluating, what evidence you'd need, and what risks affect AI use.
ANNOTATED REFERENCE
Recommended for youCompleted Worked Example
Use when you want to see the framework applied
Follow a survey design example to see how evaluation criteria, evidence, and oversight decisions were developed.
LEARNING GUIDE
Recommended for youUnderstand & Evaluate Research Tasks
Use when you want to understand how your task shapes AI evaluation.
Explore how task characteristics influence evaluation decisions, use the interactive guide to assess your own task, and compare three research workflows to see why evaluation approaches differ.
DOWNLOADABLE TOOL KIT
Recommended for youPractical Evaluation Toolkit
Use after completing your AI Evaluation Design Canvas
Download the workbook, start guide, and examples to use with your Canvas JSON in your AI assistant. Prepare a pilot evaluation, document the results, and complete your eval.
