Overview
Project Summary: Designed the first AI-powered federal workforce intelligence platform, transforming weeks-long departmental analysis into afternoon tasks for individual managers.
Avue Technologies is an AI-powered startup serving federal agencies with workforce intelligence solutions. As the UX Design and Usability Lead, I pioneered the design of the first AI-powered federal workforce intelligence platform, creating transparent AI recommendations and interactive data visualizations.
Outcome and Impact
The platform resulted in:
- 30% reduction in development time through strategic design system extensions and federal component library
- Transformation of analysis workflows from weeks-long departmental processes to afternoon tasks for individual managers
- Pioneering AI interface design for federal workforce planning where no solutions previously existed
- Multiple federal agency adoption of AI-powered workforce intelligence platform
These challenges resulted in inefficient workforce planning, missed skill gaps, and inability to make data-driven hiring decisions at government scale.
The Challenge
Federal agencies struggled with:
- Lack of AI interface patterns for government workforce planning—no existing solutions to reference
- Complex data silos with cybersecurity skills, federal job codes, and workforce analytics scattered across systems
- Manual analysis processes requiring entire departments weeks to complete workforce planning tasks
- AI trust barriers where federal users needed unprecedented transparency in AI decision-making
These challenges resulted in inefficient workforce planning, missed skill gaps, and inability to make data-driven hiring decisions at government scale.
My Role
As the UX Design and Usability Lead, I was responsible for:
- Pioneering AI interface design for government applications with no existing patterns
- Leading end-to-end design process from user research through high-fidelity delivery
- Extending design systems with federal-specific components in startup environment
- Cross-functional collaboration with product managers, AI engineers, and federal stakeholders
The Process
1. Federal Stakeholder Research
- Worked closely with federal subject matter experts to understand government workforce planning requirements
- Analyzed current workforce planning processes and pain points in government decision-making
- Identified AI trust barriers and transparency requirements unique to federal users
2. AI Interface Innovation
- Designed transparent AI recommendation interfaces with structured analysis sections like "Key Strengths" and "Additional Observations"
- Created clear AI attribution so users always knew algorithmic vs. human input
- Developed trust-building interface elements for reviewable, understandable reasoning
3. Complex Data Visualization
- Built interactive network visualization using React and D3.js mapping cybersecurity skills to federal work role codes
- Designed real-time exploration tools with dynamic filtering and multi-level zoom capabilities
- Created cross-agency comparison interfaces enabling workforce capability analysis for the first time
Built with React and D3.js, this tool transformed abstract workforce data into an explorable, intuitive interface that enabled real-time capability analysis across agencies.
4. Scalable System Design
I established design foundations for rapid startup growth:
- Extended existing design system with federal-specific components and government accessibility compliance patterns
- Created custom AI interface components for transparent reasoning displays and trust-building elements
- Developed federal accessibility features that reduced development time by 30% while ensuring accessibility requirements
Key Features
- Transparent AI Recommendations: Interfaces that made AI reasoning visible through structured analysis, clear explanations, and human oversight integration
- Federal Market Intelligence: Geographic analysis tool showing comparable positions across metro areas, enabling strategic workforce planning and competitive salary analysis
- Interactive Skills Network: React + D3.js visualization transforming cybersecurity skills and federal job codes into explorable, intuitive network maps
- Federal Design System Extensions: Custom components and accessibility patterns that enabled rapid development while ensuring government compliance
Lessons Learned
- AI Interface Design: Creating trustworthy AI experiences for government required designing clear attribution, structured reasoning displays, and interfaces that made complex algorithmic decisions reviewable
- Federal Compliance Integration: Designing for government users meant building accessibility and security requirements into every interface from day one
- Strategic Design System Extension: Working with existing design foundations while adding federal-specific patterns taught the importance of balancing speed with customization needs
This project showcased my ability to pioneer AI interface design, extend design systems strategically, and create enterprise-grade solutions that transform complex government workflows into intuitive user experiences.
.png)
.png)
.png)