XREA
Web Analytics AI Dashboard
Project
XREA is an open-source library for real-time streaming analytics. Built to give data scientists and trainers total creative control over their data visualization and collection workflows.
Role
UX/UI Lead
Services
UX/UI Design
Client
Booz Hamilton, DOD
Team Challenge
Discovery Process
To gain a deeper understanding of the product, I met with the product owner and data scientists to collect insights that will serve as the foundation for our UX research and UI design. During this research, I discovered that by leveraging the XREA framework, we could accurately measure performance and implement strategies to reinforce and enhance the effectiveness of our training programs.
Goals & Tech
Bridging the gap between complex data and intuitive design, I collaborated with cross-functional leadership to define the UI goals for an enterprise-level dashboard suite. My focus was on creating a scalable, web-accessible interface that synchronized real-time monitoring with deep-dive historical analysis across a diverse platform ecosystem.
User Research
Research Process
I defined key user profiles to balance the needs of two distinct groups: Trainees engaging with biometric-synced virtual environments and Administrators managing large-scale data visualization. This research-led approach ensured the application remained intuitive for field use while providing robust analytical depth for command-level decision-making.
Problems & Solutions
I collaborated with data scientists to identify friction points in their workflows. This research allowed me to design UI enhancements that simplified high-density data, transforming a 'difficult to read' interface into a more accessible user experience.
Design Solutions
Ideate Solutions
I designed a streamlined, three-tier dashboard utilizing a modular card-based UI to transform complex training data into actionable insights. This ecosystem provides Administrative Oversight for post-session performance audits, Real-Time Analytics for immediate in-session adjustments, and a Historical Archive for long-term trend analysis.
Design Process
I established a foundational style guide focused on uniformity and accessibility. I specifically engineered a high-contrast dark theme to enhance legibility and provide a seamless viewing experience regardless of ambient lighting.
Design Systems
Using Figma and the Material UI framework, I implemented a robust component library including complex data tables and navigation systems. This approach prioritized design scalability and cross-functional handoff while guaranteeing a seamless, accessible interface.
The Results
UI Design Mockups
I delivered high-fidelity layouts using Adobe Illustrator, ensuring every dashboard view was fully prototyped for review. To streamline the development handoff, I produced comprehensive style guides, custom iconography, and precise color specifications for the front-end engineering team.
Accessibility
Ensured full WCAG and 508 compliance by conducting deep-dive accessibility testing. This involved verifying contrast ratios for icons and imagery, refining font scales for legibility, and architecting a screen-reader-friendly experience through precise alt-text and captions.
The Impact
Testing & Validation
In direct response to stakeholder feedback from Booz Allen Hamilton, I led the iterative enhancement of the XRAE system by integrating immersive VR modules. This strategic pivot transformed the platform's efficacy, resulting in:
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Precision at Scale: A 75% increase in the accuracy and depth of performance assessments.
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Operational Efficiency: Significant reductions in time-to-readiness and overhead costs.
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Universal Accessibility: Streamlined user workflows and full compliance with government accessibility standards through integrated alternative text and closed captioning.
