9 AI matching isn’t static — it learns from every outcome. The key to continuous improvement lies in measurement. By tracking efficiency, engagement, and quality over time, Eastridge turns data into actionable insights that refine hiring performance and drive better results across the business. Track speed metrics Measure time-to-fill and time-to-interview to identify bottlenecks. Eastridge dashboards in Avionté compare automated vs. manual workflows to refine processes. Monitor candidate engagement Track response rates, app usage, and NPS feedback. Eastridge monitors engagement through the Eastridge Connect App to ensure a positive candidate experience. Capture quality of hire Follow up at 1 day, 1 week, 2 week, 30, 60, and 90-day intervals to measure retention and satisfaction. Eastridge connects these outcomes back to AI match scores to continually fine-tune the model. Refine your process quarterly Analyze which factors, skills, pay, proximity, and availability most predict success. Eastridge’s operations teams recalibrate scoring models regularly to stay aligned with market dynamics.