This project established the precedent-setting strategy for bringing proprietary Google research to the public as data layers on Google Earth, beginning with the Greenlight Traffic Level-of-Service (LoS) dataset. I spearheaded the end-to-end process of transforming internal vehicle-delay research into a shipping product, paving the way for a new category of professional data availability within Google Earth.
The Greenlight layer provides high-precision grading (A–F) for signalized intersections based on anonymized, aggregated vehicle delay times. To make this data actionable, I designed a UI that allows professionals to toggle through hourly granularity between 06:00 and 22:00, revealing shifting urban congestion patterns.
Successfully launching this required intensive cross-functional coordination. I acted as the central bridge between research scientists and product engineering, building consensus on a visualization plan that ensured these rigorous delay metrics were both technically accurate and intuitive for urban planners. By navigating these complex internal sign-offs, I created the "blueprint" that now allows other internal research teams to standardize and publish their datasets for professional users worldwide.
Key Contributions:
1. 1P Data Productization: Engineered the foundational framework for making proprietary Google research datasets—such as signalized intersection delay—available and actionable for external professional users.
2. Cross-Functional Leadership: Orchestrated alignment between research scientists and UX engineers, navigating technical constraints to secure sign-off on a unified visualization roadmap.
3. Metric-Driven UI/UX: Developed the visual logic for the A–F grading system, ensuring complex temporal data (hourly slices) remained legible and professional-grade.
4. Commercial Success: Contributed to a launch that acquired 470+ paying professional users and achieved a 10% conversion rate within the first two weeks.