Measuring Whether Users Trust Your AI Features

Hosted by Jared Spool

Wed, Aug 26, 2026

6:30 PM UTC (1 hour 30 minutes)

Virtual (Zoom)

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UX & Design for Today's AI Functionality
Jared Spool
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What you'll learn

How much do your users trust your AI functionality?

All it takes is one bad experience with your AI feature for users to decide your product or service can’t be trusted.

What makes trust so challenging to measure?

Avoid the common pitfalls of conventional survey techniques. Discover why it’s difficult to uncover your users’ trust.

What techniques can teams use to measure trust accurately?

Identify which research techniques reveal your users’ genuine trust instead of unclear or imprecise responses.

Rebuild trust before it impacts your product

Learn practical ways to restore user confidence when AI features weaken trust.

Why this topic matters

AI features can strengthen your product or quietly erode the trust you've spent years earning. Because trust develops over time, it’s one of the hardest signals to measure cleanly. In this session, you'll learn how to detect trust degradation early, avoid misleading measurements, and use research techniques that help your team make better decisions before trust impacts business success.

You'll learn from

Jared Spool

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

Jared has seen a few things in his 49 years of experience. He’s been in this industry since the dawn of personal computing. He has witnessed how teams succeed at delivering innovative technologies by using a problem-first approach, while many other teams fail because they start with a shiny capability, plug it into a product, and hope users figure out what to do with it.


In this Lightning Lesson, Jared will explore how AI can quietly erode user trust and what it takes to accurately measure that impact. Discover how successful UX leaders identify trust degradation early, avoid false signals, and rebuild the confidence their companies depend on.

World-renowned Maker of Awesomeness

Center Centre – UIE
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