Davis Insight
Overview
Davis Insight is a data-heavy intelligence platform used by traders and analysts to track pricing trends, mill-level performance, and month-on-month movements.
The existing experience made users work too hard. Filters were scattered, navigation was rigid, and critical insights were buried inside dense layouts.
My goal was simple: make complex market data easier to understand, faster to access, and more structured to scale.
The Problem
Filters lacked hierarchy and consistency
Data visualizations competed for attention
Navigation consumed screen space
Patterns differed across dashboards
The system was not built for long-term scalability
Users could get insights, but only after effort.
My Approach
Re-architected the Layout
I restructured the page around how traders think:
Set context (filters)
View summary insight
Dive into charts
Analyze detailed tables
Primary metrics were elevated. Visual hierarchy was tightened. Noise was reduced.
Reorganized Filters for Clarity
Aligned Month, Category, and Grade in a single row
Standardized dropdown behaviour
Grouped related controls
Introduced consistent spacing and sizing
This reduced cognitive load and improved scanability.
Introduced a Smart Navigation System
I designed a collapsible navigation bar that expands on hover.
Result:
Saved screen real estate
Maintained quick access
Reduced visual clutter
Improved focus on data.
Built a Scalable Design Library
Instead of designing isolated screens, I created a structured design system in Figma:
Standardized filter modules
Reusable data cards
Consistent chart containers
Structured tables
Navigation components
This ensured visual consistency across dashboards and simplified handoff to engineering.
Collaboration
Worked closely with:
Data team to understand calculation logic
Engineering to align with technical constraints
COO for product direction and strategic decisions
Every design choice balanced usability, feasibility, and business goals.
Outcome
Clearer data hierarchy
Faster filter interaction
More predictable navigation
Stronger alignment across teams
A scalable foundation for future modules
Most importantly, traders could interpret market data without fighting the interface.
Prototype Link: