# Visual Insight Design for Low Data-Literacy Drivers An innovative interface that makes traffic data understandable at a glance. - **Source:** [User Experience](https://brifing.si/source/97c43329-8b88-47cf-895e-7e748294b51b) - **Published:** 2026-07-11 - **Topic:** [Design & UX](https://brifing.si/c/design) - **Original article:** - **On Brifing:** https://brifing.si/s/5efa2302-966d-47d4-8f1f-8b64b62c7e5c ## Problem and Solution Cab drivers struggle to understand traffic congestion and competition levels. To solve this, a visualization method inspired by social graphs was developed. Each area is represented as a node, with colors indicating earning levels. ## Color Coding Green represents high-earning areas, yellow medium, and red low-earning zones. This color coding helps drivers quickly identify which areas are more profitable with just a glance. ## Animated Indicators Nodes in high-demand areas pulsate, drawing attention. This animation allows drivers to quickly spot areas with increased demand, enabling them to navigate efficiently without delay. ## Size Differentiation The size of the nodes indicates the density of cabs in an area. Larger nodes mean more competition, while smaller ones suggest less. This helps drivers make strategic decisions about where to go. ## Detailed Information Clicking on a node provides drivers with detailed insights about the area. These insights are presented in readable messages, helping drivers better understand the data. ## Outcome and Impact This design simplifies complex data for drivers with low data literacy. Simple visual elements like color and size coding enable drivers to make more efficient decisions, optimizing their work. ## Sources covering this story - https://www.reddit.com/r/userexperience/comments/1utq4ag/tried_designing_driver_insights_for_low/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._