Segments Analytics by Tresl
How can we make data science accessible to non-technical users?
2025
The Challenge
For many online stores, finding specific customer groups requires complex code (SQL), which is a huge barrier. As a lead product designer in Tresl, my challenge is to build a simple tool that lets anyone use powerful data insights without any technical skills.
The Approach
We want to use a combination of simple interfaces and AI technology to solve this problem.
Making Filtering Smart with AI
To remove the coding barrier, we created FilterGPT. This AI tool lets store owners describe the customers they’re looking for using everyday language. Within seconds, FilterGPT finds the right customer group. This turned a complicated filtering task into something as easy as having a conversation.
Simplifying Data Exploration with Visual Design
One of the popular features I designed is the Product Journey. This three-column layout gives store owners a simple way to see what products customers are likely to buy next. Users spend over 5 minutes on this page gathering the insights they need, proving the feature’s value and effectiveness in helping them make smarter business decisions.
The Outcome
My work transformed complex data into clear insights, enabling store owners to make smarter business decisions through intuitive interfaces and compelling data visualizations.