Improving an existing AI experience within real product constraints
MyExpert is ASUS’s AI-powered productivity platform for commercial PCs. I joined after the first version was already in place, so most of my work started with understanding what was already there before deciding what needed to change.
Responsibilities:
AI Interaction Design
UX & Interaction Design
Design System
( About this case )
This case study uses publicly available product information and focuses on my design approach and learnings. Internal product strategy, technical implementation, and confidential design details have been omitted.
AI INTERACTION
Helping users understand what “ask anything” actually meant
MyExpert Chat gives users an open input and asks them to start typing. The harder part was making its actual scope visible before users ran into a limit.
CHALLENGE
An open-ended chat with a defined task scope
“Ask anything” creates a broad expectation. I saw an opportunity to make MyExpert’s capabilities more visible, so users could quickly understand what they could do and where to start.
What MyExpert Chat supports
01 | DESIGNING FOR PREDICTABILITY
How might we make MyExpert’s capabilities easier to understand?
Rather than relying on users to discover MyExpert’s capabilities through trial and error, I explored ways to make them visible from the start. Clear task options gave users a better sense of what they could do, while creating a more predictable starting point for the experience.
02 | LOOKING BEYOND THE INTERFACE
Chat was only one part of the experience
Fixing individual responses only got me so far. MyExpert already had several tools, each with its own entry point. At some point I started wondering whether the bigger problem was Chat itself, or how users knew where to start in the first place.
03 | VALIDATING THE PRODUCT STRUCTURE
Testing how users made sense of the product
Before pushing the Chat idea further, I wanted to know whether the product structure made sense outside the team that built it. The research started with a simple question: did users group and navigate these capabilities the way we expected them to?
04 | REFLECTION
Finding where AI is actually useful
MyExpert made me think more carefully about where AI adds the most value. Chat was useful when people needed help finding a direction. For people who already knew what they wanted, a direct path often made more sense. AI can be powerful, but that power means little if users don't know when it's useful to them. Designing the experience also meant helping people understand what they could expect from it and where its boundaries were.
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DESIGNING WITH AI
A thinking partner, not a decision maker
I used AI to compare interview notes and surface recurring patterns across the research. One pattern made me rethink the question I was asking. I started with: “How can Chat be a better entry point?” The research led me to ask: “When is Chat actually the better entry point?” AI helped me see the information from different angles. Deciding that the question itself needed to change was still my call.