Project Overview
In my graduate level Service Design course, I designed and developed the ELMT Analytics Dashboard to give business stakeholders a clear, actionable, and real-time view of operations across orders, delivery, revenue, user growth, and regional performance.
The dashboard consolidates multiple data streams into a single interface to improve strategic decision-making, forecasting accuracy, and operational efficiency.
The primary goal was to transform raw operational data into a scannable, intuitive, decision-ready analytics platform that helps leadership diagnose trends, identify bottlenecks, and optimize business performance across all markets.
My Role & Responsibilities
I applied Human Factors & UX principles and analytical reasoning to create a dashboard that business leaders could understand at a glance.
Conducted requirements gathering sessions with admins, operational leads, and meal management teams.
Identified core KPIs that directly influence profitability, retention, and delivery efficiency.
Created wireframes + interactive layouts structured around how users scan complex data.
Designed visual hierarchy and interaction patterns that support fast pattern recognition and cognitive ease.
My Role
Product Designer & Data Analyst:
Conducted requirements gathering with admins and operations teams
Defined core KPIs and data relationships
Designed the dashboard using UX + Human Factors principles
Developed visual hierarchy, chart selection, and layout
Aligned data storytelling with real business decisions
Ensured scalability for future modules (inventory, promotions, etc.)
The Problem?
Leadership lacked a unified place to monitor:
Order volume and delivery performance
Revenue trends and forecasting
Customer acquisition metrics
Geographic performance differences
Information lived in multiple operational systems, creating slow decision-making and an inability to proactively respond to problems.
Summary:
I designed the ELMT Analytics Dashboard to give leadership real-time visibility into orders, revenue, customer activity, and operational performance. The final solution replaced slow manual reporting with a scalable, data-driven dashboard that improved decision-making speed and operational efficiency.
Business Impact
70% reduction in manual report creation time
Faster decision-making for ops and leadership teams
Earlier visibility into delivery and revenue issues
Improved customer and geographic segmentation strategies
Scalable analytics foundation for additional departmental dashboards