Gabrielle leading a cross-functional design sprint with a whiteboard
Senior Product Designer & UX Research Lead designing and improving complex enterprise products through hands-on UX execution, research leadership, and strategy.
Gabrielle leads end-to-end UX design and research for complex, enterprise products: from unblocking failing designs and shipping improvements, to de-risking multi-market launches and defining system-level direction for legacy platforms.
Most recently, she founded a UX Research practice under Mastercard’s Corporate Solutions, where she partnered closely with design, product, and engineering. Before that, she led mobile and web design for global expense management.
Domains: Enterprise SaaS · Regulated Products · Mobile & Web · Data-Heavy Systems
Case Studies
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Legacy Enterprise Platform, System-level UX Strategy
Strategy, Design, & Research · Platform Systems
Led research and design work to define scalable UX principles and interaction patterns across legacy enterprise systems, delivering artifacts that aligned product, design, and engineering teams around modernization priorities and future direction.
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Enterprise Home Dashboard, Redesign for Launch
Design-led UX · Enterprise SaaS
Took ownership of UX direction for a failing enterprise dashboard, leading interaction and hierarchy improvements, guiding prototyping, and validating changes through usability testing to achieve measurable gains in efficiency and user satisfaction.
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Virtual Card App, Redesign for Market Expansion
Design-led UX · Mobile Product
Inherited an externally designed MVP, identifying critical usability and accessibility gaps, leading UX improvements informed by research and testing, and supporting evidence-based decisions to prepare the product for international expansion.
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Enterprise Reporting & Analytics, Redesign for Modernization
Research-led UX · Data-Heavy Enterprise
Led enterprise UX research to identify reporting and analytics as a high-impact pain point, defining core usability issues and guiding redesign priorities for a complex, data-heavy experience across legacy systems.
