Recruiting Analytics

2 articles

October 20, 2025

Best Analytics for Optimizing Your Resume Screening Funnel

80% of applicants abandon the hiring process before completing their application. Companies lose qualified candidates at every funnel stage—but most don't know where or why. Data-optimized funnels achieve 37% higher offer acceptance and 24% faster time-to-hire. Single-page applications boost completion by 29%. AI screening cuts resume review time by 75%. Teams with mature analytics are 2x more likely to improve hiring and 3x more likely to cut costs. The average screen-to-hire conversion is just 3%—meaning 97 of 100 applicants never get interviewed. Track application completion rates, stage-specific drop-offs, screening-to-interview conversion, and source effectiveness. Here's how to identify your bottlenecks and fix them.

What Hiring Metrics Your Resume Screening Dashboard Should Track

You can't improve what you don't measure. The average time-to-hire is 36-44 days, but teams using recruiting dashboards cut that by 35% with AI. Quality of hire is now the #1 priority for HR in 2025—yet 72% of employers struggle to find qualified candidates. Interview-to-hire conversion sits at just 27%, meaning you're wasting time on the wrong candidates. Cost-per-hire averages $4,700 globally. Companies with strong employer brands cut that in half. Your resume screening dashboard should tell you: which sources bring the best hires, where candidates drop off, how long screening actually takes, and whether your hires stick around. Here are the metrics that actually matter.

Sarah Chen