Project Overview
With the rise of data-driven decision-making in e-commerce, businesses require robust analytics tools to monitor performance, optimize sales, and improve customer experience. The goal was to design an eCommerce data analytics dashboard similar to Oracle’s but with a more intuitive, user-friendly interface.
My Role:
As the Product Designer, I was responsible for conducting research, creating wireframes, developing high-fidelity prototypes, and testing the designs with users.
Design Process
Research & Discovery
I analyzed existing enterprise analytics tools, including Oracle, to understand their strengths and pain points. Key insights included:
Many dashboards were too complex for non-technical users.
Users preferred customizable reports and real-time data visualization.
Clarity in information hierarchy was crucial for quick decision-making.
Wireframing & Information Architecture
Based on research, I structured the dashboard to:
Prioritize key metrics like sales performance, customer insights, and inventory trends.
Include customizable widgets for different business needs.
Offer drill-down features for in-depth analysis.
Prototyping & Visual Design
I designed an interactive prototype focusing on:
A clean, minimalistic UI for easy navigation.
Data visualization using interactive charts and graphs.
Customizable layouts tailored to user needs.
Usability Testing & Iteration
Given the tight timeline, testing was conducted in quick iterations. Users highlighted:
The need for clearer labeling on complex metrics.
Interest in additional filtering options for reports.
These insights led to refined designs with improved usability.
Log in
Orders
Add New Product
Calendar
Products
Dashboard
Challenge: Time Constraints
Solution: Lean UX approach—prioritized core functionalities first, conducted rapid iterations, and leveraged existing design patterns to accelerate development.
Outcome & Next Steps
The project is still evolving, with ongoing refinements based on user feedback. Next steps include:
Implementing AI-driven insights for predictive analytics.
Enhancing customization options for enterprise clients.