UX for AI
Designing Mental
Models for AI
A practical, hands-on workshop where teams learn to align AI behavior with user expectations, guide onboarding, and foster a healthy co-learning relationship between humans and AI.
Want to drive discussions, speed iteration, and avoid pitfalls?
What will participants gain?
Skills to set accurate AI expectations, guide users through staged onboarding, design effective feedback loops, and maintain trust as systems evolve.
What tools will we use?
We’ll work in Figma for mapping flows and crafting onboarding UI, and Jira to document outcomes, assign tasks, and track implementation.
How long is the workshop?
This is a full-day, on-site workshop for a team of 5–8 people, combining theory, collaborative exercises, and hands-on design work to create effective mental models for AI-powered products.
What you will get
Case Studies
Mental models for AI-driven products
See how BrandRx shapes accurate mental models for AI products—explore our case studies to learn how onboarding, messaging, and feedback loops built user trust and drove adoption.
Workshop
What you’ll learn
from this workshop
01
Set expectations for adaptation
Build on users’ existing mental models while showing how AI output evolves with their input.
02
Onboard in stages
Introduce capabilities and limits progressively, focusing on benefits rather than tech jargon.
03
Plan for co-learning
Design feedback loops, graceful failure states, and re-boarding for major feature changes.
04
Balance human-like interactions
Decide when to humanize AI and how to clearly communicate limits to avoid unrealistic expectations
Testimonials
