Amazon’s software development team is unlike any I’ve worked with. I was genuinely impressed by how quickly my UX solutions could be implemented. After I presented my solutions to leadership, my features were shipped within a few weeks or months. One of Amazon’s principles that always stood out to me was the “Disagree and Commit” principle, which helped the team make faster software decisions.
Responsible for contributing to the FY21 platform strategy.
Dashboards – Developing predictive analysis dashboards using AI/ML technology to evaluate vendor relations for new customer opportunities and enhance business efficiency and monetization. Drive improvements that keep the mothership flywheel offering increased transparency for both internal and external customer relationships on a high-performance, customer-focused software team.
Becky Scott, UX Manager
Quote: “Geoff was the sole designer on a product that helped us manage our Vendor relationships. He was asked to deliver several features but also took ownership of user research and suggested additional user delight features. He was responsible for every aspect of the design and prototyping for testing and presented his work to leaders in design and products.”
Customer interviews
Responsible for conducting 1:1 interviews with vendor managers to validate the experience hypothesis. Customer feedback directly affected the product roadmap, and some features in the PRFAQ were challenged by customer feedback which influenced future product decisions.
Customer Quotes from UX findings:
Nine feature areas received positive feedback from customer interviews.
• “Frequently amount of codes are created by a different team, and I had no idea.”
• “Proactive suggestions would be great.”
• “The chart would save me time than going to Excel.”
Customer Journeys – end-to-end workflows
The performance metrics offer a snapshot of the potential success of the customer agreement, guiding business decisions and highlighting missed opportunities. Account managers were particularly interested in the idea that AI/ML could predict how well a customer agreement would perform.
Customer Relations
On a large scale, the controls manage the core business algorithms that directly influence vendor promotions across various systems, channels, categories, and classes. They use AI/ML alerts from vendors to improve operational efficiency and discover new customer opportunities, ultimately boosting sales growth.
Vision OP1: Retail Media (CO-OP Incentives) I presented a deck to leadership that directly contributed to OP1’s future innovation features. The deck explained why we need to improve the experience. I also developed a working prototype and UX/UI outline spec to support these product changes. My approach was to increase FCF by gaining additional funding through reducing the number of tickets to minimize vendor funding leakages.
Systems UI Kit (NEW): Amazon aimed to transform internal platforms to reduce costs and improve digital efficiency. I focused on upgrading the platform, testing Amazon’s system patterns and components library — designed to scale for enterprise platforms — and exploring how AI/ML could inform better decisions. Amazon’s principles and UI guidelines were so detailed and robust that they made it easy for me to identify the best solutions.
Discovery – Beta Site
UX Challenge: Based on the documentation, experience workflows, UI interactions, data, and customer interviews, I developed a hypothesis. The goal is to simplify the overly complex experience to reduce missed opportunities and boost future monetization potential.
The Beginning (PRFAQ): The Amazon Way (Working Backwards) My journey begins with a PRFAQ, a detailed document that explains the “what” and “why” behind the business investing in new feature improvements. Working closely with the PM, I received an initial wireframe as part of the product requirements documentation.
