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AI for UX Research

AI for UX Research

September 23

9:00a - 5:00p ET

Hampton Inn, 125 Flatbush Ave Ext, Brooklyn, NY 11201

Llewyn Paine

Llewyn Paine

Strategy Consultant

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About this workshop

AI is rapidly changing how teams conduct UX research–but most practitioners still lack a reliable way to determine where AI improves business outcomes and where it introduces too much risk.

In this workshop, you'll use transparent, custom-built AI research tools to observe exactly how AI impacts research data and business decisions. Through hands-on experimentation, grounded in academic research and controlled testing, you'll gain an accurate understanding of AI's capabilities and failure modes for common research approaches.

You'll leave with a framework for evaluating AI research tools and evidence-based best practices for making informed trade-offs between AI and traditional methods.

Target Audience

<p>People who conduct UX research (user researchers, market researchers, designers, product managers, etc.)</p>

Pre-requisites

<p>Familiarity with fundamental UX research methods (interviews, usability tests, surveys, qualitative data analysis) No prior familiarity with AI is assumed. All tools will be provided.</p>

Takeaways

  • Learn evidence-based best practices for applying AI in UX research
  • Understand how common AI research tools work at a technical level, and how this impacts your data
  • Apply a framework to evaluate AI capabilities in the context of UX research, even as the tools change
  • Get hands-on experience with the technology, working directly with the latest models and AI agents that major commercial research tools are built on

High-Level Agenda

  • Warm-up & introductions
  • Introduce a framework for thinking about AI augmentation of UXR
  • Understand the “main jobs” of UXR
  • Large Language Model (LLM) foundations for UXR
  • Using AI for qualitative analysis
  • Key considerations
  • Conduct a manual eval
  • Discuss optimizing for business needs
  • AI-moderated interviewing
  • Underlying architecture
  • Create and participate in an AI-moderated interview
  • Review evidence-based best practices
  • Test a web interface with an AI agent (Agent Experience Testing)
  • Wrap-up

Session speaker