Designing the Future of UX + AI.
Alexa AI +
Revenue Strategy
The Biological Cost of Latency
Rearchitected Alexa’s response latency strategy by replacing arbitrary engineering targets with human perception thresholds derived from my foundational research on multimodal latency perception.
Successfully convinced leadership from Alexa Economics to ingest my threshold data into their Negative Value Add (NVA) models, proving that meeting intent-specific latency standards would drive $1.7B in incremental OPS over a 15-month period. Consequently, these latency targets were established as launch criteria for the entire Alexa ecosystem.
Neuroscience + Iterative Design Strategy
Created the organization's first objective metric for cognitive load. Leveraged neuroscience methods (fNIRS) to quantify the biological "cost" of UI complexity.
This research directly informed design decisions that reduced cognitive load by 25%, enhancing user satisfaction and engagement.
Multimodal AI + Hardware
Led end-to-end Human Factors strategy for high-visibility consumer AI hardware (Echo Show), shaping product requirements for the Alexa+ ecosystem serving 75M+ customers.
Reducing Astronaut Cognitive Load
Led Human Factors validation for next-gen medical workstations on the Lunar Gateway. Leveraged cognitive load analysis to redesign workflows, minimizing critical operator errors in high-stress zero-G environments.
Driver Retention Strategy in Brazil
Conducted foundational research in Brazil to inform global product strategy. Insights directly steered the driver app redesign, successfully reducing cognitive load and improving rental driver retention by 15%.
Trust in Semi-Autonomous Driving
"How does the car communicate intent?"
Conducted foundational research on passenger experiences in L2 vehicles. Findings guided critical improvements to the HMI (Human Machine Interface) that enhanced trust during automated lane changes.
Autonomous Handoffs
Defined Alert Modality standards for autonomous handovers, directly influencing internal design guidelines for L2 vehicles.
The Sound of Luxury
Operationalized the subjective experience of "quiet" by correlating acoustic sensor data with human perception.
Product Leadership & Human-AI Strategy
Own the strategic research roadmap for monetization, retention, and Human-AI interaction, reporting directly to the VP of Product.
Architecting Trust in AI
Architected the multi-turn interaction model for an LLM-powered agentic TV assistant. Defined response latency targets and addressed response ambiguity challenges through the creation of a "Trust & System Status" framework, ensuring users understand agent intent during complex tasks.
Boosting Subscriber Conversion
Directed research to identify specific friction points where users were abandoning the subscription signup flow. Partnered with leadership from Product, Engineering, and Design to streamline the path to purchase, directly driving a 17% increase in purchase confidence on Sling.com.