Building Dashboards to Spotlight Leakage and Friction in Hiring

## The $50K Hallucination Imagine this: your AI model, designed to streamline candidate verification, just hallucinated in production. The result? A staggering $50K in customer refunds due to false accepts. This isn't a fictional scenario; it's a wake-up call for engineering leaders. If your systems can't accurately s

## Why This Matters In today's fast-paced hiring landscape, the stakes are incredibly high. Leakage—where candidates who shouldn't pass the screening do—can lead to financial losses, reputational damage, and compliance issues. Conversely, friction—where legitimate candidates are wrongly rejected—can increase drop-off,

## How to Implement It Step 1: Establish Key Performance Indicators (KPIs) Define the metrics that matter most. Focus on leading indicators like false accept rates (FAR) and false reject rates (FRR). Monitoring these KPIs will give you early warnings about potential issues. Step 2: Integrate Real-Time Telemetry Incor

## Key Takeaways - Always prioritize leading indicators to anticipate potential drop-offs and fraud attempts. - Implement telemetry that connects directly to reviewer staffing and policy adjustments. - Use actionable metrics to continuously refine your hiring process, ensuring both security and efficiency.

## Example: A Real-World Case Study Consider a tech firm that implemented a dashboard to track their FAR and FRR. Within three months, they identified a 15% leakage rate in their screening process. By adjusting their AI models and staffing, they reduced this leakage by 50%, saving significant costs and improving their

## Questions - What specific metrics should we prioritize in our dashboards? - How often should we review these metrics to ensure effective hiring? - What tools can we use to integrate telemetry into our existing systems?