AI Product Design · Motion Design
Product design and motion design work for Intuitive AI’s core artificial intelligence application, creating interfaces that make complex AI outputs legible and trustworthy for non-technical users.

AI outputs are inherently opaque. Users of the platform needed to trust recommendations generated by machine learning models—but without understanding the underlying logic, trust was low and adoption was stalling.
Operations managers and technical leads in the mining industry. High domain expertise, moderate digital literacy. Deeply skeptical of black-box technology.
Designed core application screens, data visualisations, and motion language to communicate AI confidence and reasoning.
2020 · Part of the broader Intuitive AI engagement.
01
Explainability Research
Researched best practices in explainable AI (XAI) and trust-building interfaces. Interviewed users about their mental models of AI recommendations.
02
Information Architecture
Mapped how AI insights needed to be surfaced—balancing detail for trust with simplicity for action.
03
Motion Language Design
Designed a motion system that communicated AI reasoning and confidence—using animation not as decoration but as a functional trust signal.
04
Prototype & Test
Built interactive prototypes and tested with target users to refine the balance between information density and clarity.
Motion design in AI interfaces is not about delight—it is about trust. Every animation needed to answer the question: does this make the user more or less confident in the recommendation?
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User trust in AI recommendations through transparent UI
XAI
Explainable AI principles embedded in the interface
2020
Delivered as part of full Intuitive AI engagement
Designing for AI requires a deep respect for uncertainty. The temptation is to make everything look confident and polished—but users who understand the technology will distrust overconfidence. Honest interfaces build more lasting trust.