Making data analysis as easy as asking a question

Loblaw’s Data, Insights & Analytics platform gave vendors access to valuable business performance data, but the experience lived on a third-party tool that limited our control over the user experience and product roadmap.

Users relied on the platform for data, but often struggled to find what they needed, then exported and reorganized it elsewhere to make it useful. This created a business risk: if vendors saw the product as a difficult layer between them and the data, they had less reason to keep paying for the platform experience itself.

I led the MVP design to bring the platform experience in-house, starting with the most-used report and creating a scalable foundation for the product’s core reporting capabilities. I also designed the first conversational AI experience for Loblaw Advance, helping users ask questions in natural language and get to insights faster. To move quickly, I used AI-powered tools like Cursor and Figma Make to rapidly prototype key interaction patterns.

The direction reduced friction for routine analysis, aligned stakeholders on a single conversational + visual language for the $50M+ platform, and set the foundation for shipping iteratively with engineering.