Free Lesson
Case Study: Approaching UX for AI Functionality
90 min
Jun 26, 2026 10:00 AM
Virtual (Zoom)
In this video
What you'll learn
Shift from solution-first to problem-first AI design
Identifying users' problems first reveals where AI can provide valuable, meaningful experiences.
Identify the best opportunities for AI functionality
Discover methods for uncovering workflow gaps where AI can solve important customer problems.
Design around AI’s limitations and constraints
Account for AI issues with hallucinations, performance, and cost, while ensuring functionality delivers value.
Build AI capabilities with a focus on improving users’ lives
Design AI functionality that genuinely improves users’ lives while navigating the realities of the technology.
Why this topic matters
AI features are appearing everywhere, yet many teams start with a capability and then search for a use case. That approach often creates functionality that people must work around rather than benefit from. A problem-first approach helps teams identify where AI can genuinely improve users' lives while accounting for limitations, performance constraints, and operational realities.
You'll learn from

Jared Spool
Center Centre’s Maker of Awesomeness and expert in UX Strategy.
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