0→1 AI Platform

Federal AI Workforce Intelligence Platform

I led UX design for an AI-powered federal workforce intelligence platform, creating transparent AI interfaces for government agencies. Over six months, I designed new patterns for trustworthy AI adoption that transformed weeks-long departmental analysis into tasks managers could complete in a single afternoon.

ROLE

Lead UX Designer

TIMELINE

6 Months

IMPACT

DoD Leadership Validated

The Challenge

Federal agencies struggled with critical workforce planning challenges that required weeks of manual analysis across disconnected systems.

Weeks of Manual Analysis

Entire departments spending weeks on workforce planning tasks that should be data-driven decisions, creating bottlenecks

Disconnected Workforce Data

Cybersecurity skills, federal job codes, and workforce analytics scattered across systems with no unified view for decision-making

No AI Transparency

Existing tools provided recommendations without explanations, making validation impossible for critical hiring decisions

Inefficient Decision-Making

No way to quickly validate workforce recommendations or compare competitive positioning across agencies

This forced agencies to rely on manual analysis, taking entire departments weeks to complete workforce planning that should be straightforward decisions.

Solution Overview

My focus was on designing transparent AI experiences and interactive data visualization tools that gave federal decision-makers clarity and confidence in their workforce planning.

Progressive User Flow

I designed a three-step journey that reduces cognitive load at each stage. Users start with a focused entry point, provide targeted job requirements, then receive AI-powered candidate matches with transparent reasoning. This progressive approach prevents overwhelming users while maintaining the sophistication needed for federal workforce decisions.

Focused entry point
Streamlined job input
AI conversation interface

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Interactive Skills Network

To highlight the interconnectedness of federal work roles and KSATs, I designed an interactive force-directed network using React and D3.js. Users could search for roles like "Security Architect" to see related competencies, explore connected roles, and zoom or filter to identify skill gaps and training opportunities across agencies.

Real-time skills mapping exploration
Dynamic filtering and search
Multi-level zoom for analysis

Federal Market Intelligence

I also designed a geographic analysis tool that gave hiring managers visibility into how technical positions compared across metro areas. This supported better salary benchmarking, market positioning, and long-term workforce planning.

Geographic salary comparisons
Market positioning analysis
Competitive intelligence

Design System Impact

I extended existing design systems with federal-specific components and accessibility patterns, cutting development time by 30% and enabling us to deliver prototypes within one month. I also created reusable AI interface patterns that could be scaled across multiple federal applications.

Outcome & Impact

Government stakeholders provided positive feedback during platform demonstrations, noting the breakthrough approach to AI transparency and the intuitive nature of the interactive data visualizations.

Design Innovation

Created transparent AI interfaces for federal workforce intelligence with limited existing patterns to reference

Technical Execution

Built working React + D3.js prototypes demonstrating complex network visualizations and real-time interactions

System Contribution

Extended design systems with federal-specific components and accessibility patterns for government compliance

Stakeholder Validation

Positive demo feedback from federal stakeholders on AI transparency approach and visualization effectiveness