My background in human factors gives me a vocabulary to navigate problems in user moments: workload, error recovery, mental models, trust platforms. My practice is designing the path that makes the right action the obvious one.
Anywhere Real Estate
Designing for 180,000 agents to scale up complex, time-sensitive, multi-stakeholder real estate transactions.
Real estate transactions are high-stakes, time-sensitive, and split across agents, brokers, and staff who each see a different piece of the picture. I led end-to-end design for Anywhere's transaction and brokerage ecosystem, untangling three disconnected systems into a single coordinated workflow. The design challenge was creating and implementing shared mental models across roles, and recovery paths when things go sideways. Contributed to 8% YoY transaction growth.
Shippo
One measurable purchase flow, and a flexible, modular design system.
Owned the web channel of label purchase flows. Led the definition of core label purchase flow and routing all stray workflows to a single consistent, scalable workflow for small to medium size e-commerce businesses. Created low fidelity and high fidelity functional prototypes to test mobile and desktop single and bulk label purchases, and to communicate vision to product leadership. Published and maintained a Figma Component Library that encoded workflow standards, responsive behaviors, and re-usable experiences.
Amazon
Trust at scale: payments, annotations, and patents.
Led the creation of new purchase flows following the PSD2 European E-commerce mandates. In addition to experimentation of secure but frictionless payments like biometrics and autopopulated MFA, this also led to the definition of credit card payment failure flows, alternative payment methods, backup payment methods, and net-new payment methods (in-store).
Growzi
AI guidance for plant and gardener growth.
I'm currently working with the Data Science Alliance team to design an AI-powered plant care experience. The core design challenge: how do you make expert horticultural knowledge feel like advice from a knowledgeable source, not a reminder or an almanac lookup? Early prototypes are exploring how to surface the right guidance at the right moment, without overwhelming users who are just getting started.