Free Lesson
Don’t Trust Your First AI Output – Question It
45 min
May 5, 2026 1:00 PM
Virtual (Zoom)
In this video
What you'll learn
See how AI synthesis fails — even when it looks right
Watch a live demo of theme clustering of an interview dataset. You'll see credible-looking output. But what's missing?
Learn why the second question matters as much as the first
Your first prompt shapes what AI gives you. A follow-up question adds missing details.
Walk away with a simple framework you can use this week
AI output is a hypothesis, not an answer. Once you see it that way, you'll iterate toward something you can trust.
Why this topic matters
AI can go sideways quietly — when output looks clean, reads well, and still gets something wrong.
That's the failure mode that follows your name onto a deliverable.
This session shows you what that looks like and gives you one move to catch it.
It's one piece of a larger discipline that changes how you read every AI output.
You'll learn from

Susan Mercer
Adjunct Lecturer, Bentley University and Former Director of UX Research, Viator
Companies I've Worked For
