Building Dashboards for Leakage and Friction: A High-Stakes Approach

## The $50K Hallucination Imagine this: your AI model just hallucinated in production, leading to a $50,000 cost in customer refunds. Every misstep in your hiring process can snowball into financial losses, brand damage, and operational inefficiencies. False accepts and false rejects can derail your recruitment efforts

resulting in wasted time and resources. Engineering leaders must prioritize building dashboards that illuminate these issues, allowing for proactive adjustments to both systems and processes.

## Why This Matters Understanding leakage (false accepts) and friction (false rejects) is critical for several reasons. First, leakage can lead to hiring unqualified candidates, damaging team performance and company reputation. On the other hand, friction can result in qualified candidates dropping out of the process,

wasting valuable resources. By focusing on these metrics, engineering leaders can directly impact their bottom line and improve the overall candidate experience.

## How to Implement It Step 1: Identify Key Metrics Begin by defining the metrics that matter most to your organization. Common KPIs include: - False Accept Rate (FAR) - False Reject Rate (FRR) - Candidate drop-off rates Step 2: Set Up Automated Telemetry Utilize tools that can provide real-time telemetry on these KP.

This allows you to capture relevant data without manual intervention, ensuring that your dashboards reflect the most current information. Step 3: Create Visual Dashboards Develop dashboards that visualize these metrics clearly. Use graphs, charts, and alerts to highlight areas that need immediate attention. Tools like

Power BI or Tableau can be instrumental in creating these visualizations. Step 4: Regular Review and Adjustment Establish a cadence for reviewing your dashboard data. This should be done weekly or bi-weekly to ensure that you can make timely adjustments to reviewer staffing and policies based on the insights you gain.