Gov Agentic EdTech
28%
Decreased Training Time
84%
SUS Score
87%
Preferred UI Refactor
This is a portfolio-safe redesign of a real, deployed product built for government and federal security training environments.
Praxis is an adaptive training platform designed to prepare security personnel for high-stakes operational environments. Grounded in human factors research and cognitive load modeling, the platform replaced fragmented legacy systems with a modular, intelligent training experience that reflected the real pressures and pacing of security inspection work.
Security training at scale is a coordination problem as much as a learning one. Personnel need to know what to train on, when, and at what level of depth, while administrators need visibility into readiness across an entire workforce. Legacy tools handled neither well, creating gaps in compliance tracking, inconsistent skill development, and no meaningful feedback loop between training performance and operational readiness.
The platform was structured around five interconnected areas: a Planner that surfaced due and upcoming sessions with clear urgency signaling; an interactive Training environment built on branching decision trees that simulated real threat-assessment scenarios; a Learning hub that personalized module recommendations and visualized individual competency through a multi-dimensional radar model (ADARE); a Documentation center that gave users a searchable, well-organized knowledge base mirroring the platform's navigation; and a Settings panel that balanced user-level control with administrator-enforced boundaries.
The dark, low-distraction visual language was a deliberate choice for the operational context. High-contrast typography, restrained color use, and consistent spatial logic kept cognitive load manageable, even during high-stakes training sequences. Personalization options including display density, theme, and language ensured the platform could adapt to varied deployment environments without compromising usability.
One of the core design challenges was making skill development legible without oversimplifying it. The Training module tracked five competency dimensions in real time: Accuracy, Detection, Analysis, Recall, and Engagement. The Learning hub extended this with the ADARE model, a radar visualization that gave learners and coordinators a shared vocabulary for readiness. Rather than a pass/fail system, the platform communicated growth as a continuous, multidimensional picture.
The resulting design consolidated fragmented workflows into a single, coherent experience that was accessible to frontline personnel and actionable for administrators. The design system built for Praxis extended beyond the platform itself, providing a scalable foundation for other secure training tools and reducing future development overhead across the product suite.
Overview
Praxis turned fragmented legacy training tools into a modular learning system shaped around real operational pressure, pacing, and oversight.
Sector
TrainingTimeline
Client
Federal Defense Contractor
Role
UX Design Engineer
Status
Live ProductFocus