From Skeptics to Superusers: Designing AI Products People Actually Adopt
About this session
AI products don't fail because the models are weak — they fail because users don't trust them yet. As a founding product researcher/designer scaling an AI builder platform from 0 to 25,000+ users, I ran 80+ interviews to understand a stubborn 32% AI-skeptic segment, then redesigned onboarding, positioning, and IA around what actually earned trust. Usage rose 300%, task steps dropped 40%, support queries dropped 60%. This talk shares the research-to-design framework for turning AI skepticism into adoption — the wins, the dead ends, and what I'd do differently.
Speaker
Key takeaways
- How trust scaled from person-by-person to built-into-the-product — the real story behind 0 to 25,000 users.
- How reframing messaging from platform capability to peer-validated outcomes drove a 300% adoption jump.
- How trust scaled from person-by-person to built-into-the-product — the real story behind 0 to 25,000 users.
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