Trust Vector Arcade

The Bottleneck

High-pressure support environments currently suffer from "triage drift" and catastrophic human error. Manual diagnostic protocols are often too fragmented and slow to keep pace with volatile policy changes, leading to inconsistent outputs where speed is prioritized over logic-integrity.

The Architectural Solution

I engineered a web-based, event-driven simulation engine (Netlify/JS) specifically designed to stress-test high-stakes decision logic. By instrumenting the application with granular, session-level telemetry (using the Kirkpatrick L1–L4 impact model), I transformed standard training into a diagnostic sandbox. The system maps user-triage responses against validated "truth-data" to quantitatively benchmark decision-accuracy, isolate systemic error patterns, and identify where the "Human Firewall" is weakest. It does not just train; it provides the data required to re-engineer the underlying diagnostic flowcharts.

Command Stack

Netlify | JavaScript | Telemetry | Kirkpatrick L1–L4 Modeling