< Speaker / Facilitator >
Jorge Aboytes
Privalia (Veepee), International Trade Center, UserZoom

Connect in LinkedIn
Jorge Aboytes is a Director of Product Management at UserTesting, where he leads the Networks area, an organization of 70+ people focused on two things: recruiting the right participants to provide feedback for customers, and managing an internal panel of 7M+ panelists. He started his career as a UX Writer over 16 years ago, then moved into Product Design, and ultimately into Product Management. Throughout his career he has advocated for the user: listening, understanding their problems, and crafting delightful experiences with them at the center.
< About >
As product people, we treat experience as our greatest asset. But the more senior we become, the more we lean on our own judgment as the deciding input, and that's exactly when judgment gets harder to question. AI has made this riskier than ever. It has never been easier to validate our assumptions straight back to ourselves: generate a persona that agrees with us, synthetic feedback that confirms the plan, a model that tells us what we hoped to hear. Confidence has gotten cheap, and disconfirming evidence has gotten easy to avoid.
This roundtable tackles a simple but uncomfortable question: how do Product leaders actually know when they're wrong? Rather than a presentation, it is a structured peer conversation. Jorge invites participants to share a moment they were most confident and most wrong: what they missed, why they missed it, and what signals they've since learned to watch for. The format is built for a senior room, where the real value lies in honest war stories rather than frameworks learned in a course.
Attendees leave with a sharper sense of how overconfidence actually forms, practical habits for seeking out evidence that breaks their own ideas instead of flattering them, and a shared language for naming the confidence trap when they see it on their own teams. The aim is for everyone to walk away with at least one concrete habit for catching their blind spots earlier.
< Key learnings >
Seniority breeds overconfidence: how experience quietly increases the risk of bad judgment rather than protecting against it.
The AI validation trap: why AI tools make it dangerously easy to confirm your own assumptions, and how to spot when it's happening.
Seek disconfirming evidence: concrete techniques for actively looking for what breaks your idea instead of what flatters it.
Early warning signals: the signs that your judgment may be failing you, drawn from peers' real experiences.
One habit to take home: a practical habit each attendee can adopt immediately to catch blind spots before they reach production.
< Tickets >