Causal Foundry
Analytics Platform
Client
Causal Foundry AI
Year
2024
My Role
Lead Designer
(Platform & Design System)
Causal Foundry was launched with a major grant from the Bill & Melinda Gates Foundation, with an initial focus on improving healthcare outcomes in the Global South through personalized incentives. The goal of the grant was to partner with healthcare NGOs to help them integrate CF’s technology into their products and use data-driven tools to support better health decisions at the individual level.
As the lead designer, I helped shape core product workflows, held client workshops and usability sessions, introduced scalable design system foundations, and collaborated closely with data scientists, engineers and researchers to deliver accessible, data-driven interfaces, and led a growing team of 3 designers.
Through user interviews with existing partners, we underestood the end users of this platform often had limited experience with analytics platforms, and their teams ranged widely in data literacy. So I focused on designing clean, intuitive workflows that supported tasks like intervention creation, cohort segmentation, and outcome tracking, while aligning tightly with partner needs uncovered in biweekly research and demo sessions.
One of the most critical components of the platform was the data visualization system. I collaborated closely with our engineers to design a flexible, reusable chart framework that could scale across multiple use cases and data types. Drawing on established best practices, I created modular chart tiles with responsive layouts, interaction features like tooltips, filters, zoom, and legends, and visual treatments for edge cases such as missing data or single data points.
As the product matured, I formalized design documentation in Notion, expanded our design system, and introduced structured processes for asynchronous collaboration and contribution to the design system. This foundation enabled faster iteration, better autonomy across teams, and more consistent user experiences as we scaled.
The result was a unified design system that accelerated development, improved cross-team alignment, and made AI features approachable for healthcare users with varying technical literacy. Complex insights became clearer, workflows became more intuitive, and the platform became a trusted tool in high-stakes environments.
This project reinforced the value of pairing systems thinking with human-centered design. By embedding transparency, modularity, and empathy throughout the product, we turned a technically powerful platform into a usable, trustworthy experience.
Review full Case Study.
