Summary
Discover the transformative power of shifting from passive users to active shapers of AI in Tricia's compelling closing keynote. Unveiling the insidious "User Trap," Tricia exposes the pervasive sense of powerlessness entrenched in our tech-driven world. She champions a radical shift in the researcher's mindset, advocating liberation from the confines of being "user researchers" to versatile professionals adept at navigating the complexities of human-tech interactions, especially ones that force people into becoming users. As AI tooling improves, Tricia envisions a future where human ingenuity stands as the cornerstone, complementing and enhancing the capabilities of advanced AI tools. In this world, researchers who can truly understand human beings, gather thick data, and communicate complexity and context-loss with clarity, will become even more indispensable.
Key Insights
-
•
The term 'user' reduces complex human relationships to passive roles that serve platform interests.
-
•
AI’s cultural fear stems not only from the technology itself but from legacy issues of control in Web 2.0.
-
•
The 'user trap' describes our dependence on digital platforms that erode agency but are essential to modern life.
-
•
Shapers actively collaborate with AI, going beyond passive use to shape technology’s role in their lives.
-
•
Four key care skills of shapers are coaching, adaptive intelligence, responsibility, and viewing AI as an extension of self.
-
•
Big Tech’s control over AI risks repeating the mistakes of social media, potentially amplifying existing problems.
-
•
Thick data, or qualitative context-rich data, is essential to combat the complexity and context loss in AI-driven outputs.
-
•
Insight-driven organizational cultures outperform data-driven ones by integrating qualitative and quantitative knowledge.
-
•
Researchers need to move beyond 'user research' to fully embrace the complexity of people’s interaction with technology.
-
•
Experimenting personally and professionally with AI helps demystify the technology and encourages proactive engagement.
Notable Quotes
"AI is super polarizing — on one end, it’s discovering millions of new materials, on the other, it’s corrupting children’s experiences."
"We are stuck in the user trap because these platforms are central to being human today."
"In Web 2.0, a small group sets the rules and most people just play within them."
"Fear of AI comes from not trusting the inputs, the data powering these models."
"The user identity is a digital construct that commodifies humans for their data."
"Shapers combine human and machine intelligence and amplify each other’s strengths."
"Researchers might be the last people in organizations accountable for understanding humans."
"Our job is to fight context loss as data moves up layers of abstraction in AI outputs."
"Thick data is the opposite of big data and essential for rescuing lost context."
"Language matters — calling people 'users' reflects and reinforces the reality of reduced agency."
Or choose a question:
More Videos
"If your talk isn’t accepted, it doesn’t mean it’s bad—it might just not fit the program’s narrative arc or available slots."
Louis Rosenfeld Jemma Ahmed Christian Crumlish Uday Gajendar Chris GeisonCoffee with Lou #3: What Makes for a Successful UX Conference Presentation?
May 2, 2024
"Human connection is a basic need that doesn’t get paused just because someone works remotely."
Jilanna WilsonDistributed Design Operations Management
October 23, 2019
"Our existing software is becoming adaptive, allowing end users to vibe code features themselves."
Matt WebbContext Window: Five Futures for AI
June 11, 2025
"It is very easy to tick all the accessibility checkboxes and still have a poor, ugly, and unhelpful product."
Sam ProulxAccessibility: An Opportunity to Innovate
September 8, 2022
"EMRs and EHRs have terrible user experience and are ripe for design innovation, similar to FinTech years ago."
Theresa NeilDesigning for Wellness: Specializing in Healthcare
May 22, 2024
"Model companies are students in a classroom wanting good points—they’re happy to run external expert evals to improve."
Peter Van DijckHands-on AI #2: Understanding evals: LLM as a Judge
October 15, 2025
"The heroes framework helps show the specific contribution design ops makes through measurable impact categories."
Rachel Posman John Calhoun"Ask Me Anything" with Rachel Posman and John Calhoun, Authors of the Upcoming Rosenfeld Book, The Design Conductors
September 25, 2024
"Make a note when something about your design process doesn't feel right—discomfort is a guide to curiosity and improvement."
Tricia WangThe most popular design thinking strategy is BS
January 27, 2022
"We are the problem we’re trying to replace — some legacy digital systems we created 20 years ago are still running."
Sarah Auslander Betsy Ramaccia Gordon RossInsights Panel
November 18, 2022
