Google Shopping Insights

Shopping Insights is a tool for retail merchandisers to uncover which products and brands are popular, trending up or down, and how these insights vary by reasons in the U.S.



Brands and retailers do not have the tools and breadth of data to accurately forecast sales, trends, or budgets. They recognize the need to be omnichannel, but struggle with the tools to get there.

So we asked ourselves: How might we create an approachable tool that helps retailers and merchandisers understand their consumers' shopping-related search habits better? 



Each iteration rounch, I always start by talking with a variety of merchandisers to understand their daily habits and pain points. Next, I map the core user journeys and add potential features our product could help with. From there, I determine which features would be the least engineering effort but highest user value and shop them around to the rest of the team. When the team and stakeholders agree, I continue sketching and wireframing until I landed on an idea that is scalable and a flexible pattern. I then pass off my high-fidelity wireframes to UI for any brand polish, then I prep that same file to be pixel perfect for handoff to our engineering team via Invision. 

UX Lead, Design Team Lead, UX Research

Project Lead - Aman Govil
UI Lead - Woojin Lee
Frontend Lead - Mathias Paumgarten




With a completely redesigned backend data structure, we had to reimagine how the user might be able to interact with that data. Through a clean and scalable design system, we created an easy way for retailers and merchandisers to sift through 100,000+ brands, categories and products while making sure the insights were surfaced front and center. 

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