This is a portfolio-safe redesign of a real, deployed product built for government and federal security training environments.
Praxis was an adaptive training platform for security personnel operating in high-stakes, compliance-sensitive environments. The work addressed a strategic training problem: legacy tools were not giving personnel a clear path through required learning, and administrators lacked a reliable view of readiness across the workforce. Grounded in human factors research, cognitive load modeling, and secure operational constraints, the redesigned platform consolidated planning, simulation, performance feedback, documentation, and personalization into one coherent learning system.
Security training at scale is an operational readiness problem as much as an education problem. Personnel need to know what to train on, when it matters, how deeply to engage, and how their performance maps to real inspection work. Administrators need visibility into workforce capability, compliance progress, and emerging skill gaps before those gaps become operational risk.
The legacy experience fragmented that loop. Training requirements, simulation activity, reference material, progress signals, and oversight workflows lived in separate places, creating friction for trainees and uncertainty for coordinators. The design challenge was to create one system that could guide individual learning while giving leadership a clearer picture of readiness across the organization.
The platform was structured around five interconnected product areas. Planner clarified what was due, upcoming, or urgent. Training used branching decision trees to simulate real threat-assessment scenarios. Learning personalized module recommendations and visualized competency through the ADARE model. Documentation gave users a searchable knowledge base aligned to the product's navigation. Settings balanced personal control with administrator-enforced constraints.
The design strategy focused on reducing ambiguity under pressure. The visual system used a dark, low-distraction interface, high-contrast typography, restrained color, and consistent spatial logic so trainees could focus on the decision in front of them. Personalization options such as density, theme, and language supported different deployment contexts without weakening the governed training model.
One of the core design challenges was making skill development legible without flattening it into a simplistic pass/fail model. The Training module tracked five competency dimensions in real time: Accuracy, Detection, Analysis, Recall, and Engagement.
The Learning hub extended that model through ADARE, a radar visualization that gave learners, coordinators, and administrators a shared vocabulary for readiness. Instead of treating performance as a single score, the system communicated growth as a continuous, multidimensional picture that could inform coaching, assignment, and future training priorities.
The redesign reduced training time by 28%, achieved an 84 SUS score, and was preferred by 87% of evaluated users. Those results mattered because the work was not simply a UI refresh; it changed how personnel moved through required training and how administrators understood readiness.
The resulting platform consolidated fragmented workflows into a single, coherent experience that was accessible to frontline personnel and actionable for leadership. The design system built for Praxis extended beyond the product itself, creating a scalable foundation for other secure training tools and reducing future development overhead across the product suite.