Graph Insights
2025/Prototype/Frontend engineering
A graph exploration interface for mapping relationships, filtering dense datasets, and surfacing hidden patterns.
Dense relationship data becomes difficult quickly. When every node has the same visual weight and filtering happens outside the canvas, the user loses the mental map that made the graph useful in the first place.
The challenge was to keep exploration interactive while still giving the user enough structure to understand what they were looking at.
I treated graph exploration as a navigation problem. Search, filter, focus, and inspect had to work together without breaking the user's mental map.
The UI was shaped around focused node states and relationship filtering, with supporting panels that explain what the graph is showing instead of competing with it.
The prototype combines an interactive graph canvas with focused node states, relationship filtering, and a clear visual hierarchy for connected data.
Rather than forcing users into a table-first workflow, the interface lets them move through relationships naturally and inspect details only when they matter.
The project turns complex connected data into something easier to reason about, especially when users need to find patterns rather than browse tables.
It is a good example of using UI structure to protect the user's mental model instead of overwhelming them with raw data.