Joseph Everett Grgic

I’m Joseph, a UX designer and researcher

I combine analytical rigor, creative problem solving, and emotional design, to craft intuitive, impactful experiences.

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//some of my work

 

Allstate Apple/Google Pay Integration

Led the integration of third-party wallet payments, improving cart/payment rates and timeliness up to 25% (projected) with 90% transaction success rate, 85% confidence rating

Mcdonald’s Account Based Ordering

I led a small cross-functional team to design an omni-channel Account-Based Ordering system, integrating Loyalty & Payment transactions with Post-Fulfillment CX tools. I crafted and tested features such as dynamic offer redemption, contactless payment, eReceipts, and feedback loops, optimizing transactions, minimizing delays, and elevating customer satisfaction.

Google Editor redesign

Delivered strategic redesign of Editor Ads tool aligning with M2, improving efficiency (reduced mouse travel/errors via task-flow optimization), and mitigating user disruption through a phased rollout.

 
 
 

Verizon Carrier Switch optimization

Optimized Verizon’s carrier switch flow and design to enhance efficiency, streamline steps, and boost conversion rates.

Meta SFI Email Capture Research

Improved SFI email capture adoption by identifying seller hesitations via moderated user testing. Translated insights into UX solutions, resulting in +0.63% increase GMV, 16% churn.

Meta Shops Usability Benchmarking

Identified findability as the top usability issue for 52% of sellers via unmoderated testing (n=33), prioritizing IA/UI redesigns to reduced page views and improve task completion rates to increase seller transactions and spend.

 
 
 

Google Ads Notification Workshop

Led a cross-functional workshop and research initiative to redesign Google Ads' Hedwig notification framework, focusing on urgency tiers (P0-P2), streamlined inline actions, and trust-driven contextualization informed by advertiser feedback. Insights revealed that high-priority alerts (P0) must balance visual prominence with workflow continuity, while lower-tier recommendations require adaptive in-line interaction models tied to risk perception.

 

Self Service Dashboard Data Visualization

Designed a proof-of-concept for a user-friendly data visualization tool, simplifying dashboard creation for users of all expertise levels. Developed intuitive workflows, clear information architecture, and innovative UIs (traditional and node-edge) to enhance data discoverability and relationship clarity. Enabled users to access data repositories, select dimensions, apply filters, and generate visual insights, focusing on usability, learnability, and scalability.