Designing for Artificial Intelligence

In my AI-driven case studies on a design system for an AI-enabled platform, designing AI into an existing analytics platform, and online recipe search with AI help, I navigated the complexities of early AI technology. Despite challenges like data management and integration with existing systems, I employed iterative design processes and continuous feedback loops to develop effective, user-friendly solutions that enhanced healthcare efficiency and personalized dietary recommendations.

Design system overview
Design System for an AI-enabled Platform

As a freelance designer, I was tasked with developing a scalable and cohesive design system for an analytics platform that required modular, adaptable UI elements. Leveraging Figma’s advanced AI tools, including auto layout, component properties, and variable management, I created a system to ensure design consistency while allowing for flexible customization.

Intermountain Health AI platform design
Transforming Healthcare with AI-Driven Insights at Intermountain Health

At Intermountain Health, I spearheaded a project to integrate AI-generated insights into patient care workflows. Working alongside data analysts, I helped design and test user-friendly interfaces that utilized complex AI data. This initiative resulted in a 30% increase in user engagement and improved the accuracy of patient data interpretation by 25%.

SimpliBake platform design
Enhancing User Experience with AI-Driven Recipe Recommendations at SimpliBake

At SimpliBake, I led a UX design initiative to overhaul recipe search and recommendation systems for vegan users. By collaborating with AI developers and using iterative testing, we crafted an intuitive interface that improved user satisfaction by 40% and reduced search time by 35%, making the platform more accessible and efficient.