Quality of hire (QoH) is the recruiting metric that answers the question that actually matters: did we hire the right person? It measures how well a new employee performs and fits in the role relative to what was expected at hire time. Unlike speed or cost metrics, quality of hire is a lagging outcome metric — you cannot calculate it until the hire has been in role long enough to generate performance evidence, typically 90 days to 12 months.
The Standard Formula
The most defensible approach to calculating QoH uses a three-factor composite:
- Performance score — the new hire's rating on their 90-day or 6-month performance review, normalized to your review scale (e.g., 1–5 or percentile rank against peers).
- Ramp time — how quickly the hire reached full productivity, expressed as a percentage of the expected ramp window. A hire who ramps in 60 days when 90 was expected scores better than one who takes 120.
- Retention — whether the hire is still employed at the 12-month mark, the most common early-attrition window.
A simple composite: QoH = (Performance % + Ramp % + Retention %) ÷ 3. More sophisticated models add manager satisfaction scores, peer assessment ratings, or cultural fit metrics. The goal is a single comparable number per hire that can be tracked by source, recruiter, hiring manager, and role family.
Why It Is So Rarely Measured
Despite being the metric talent leaders most want, quality of hire is systematically under-measured. LinkedIn's Future of Recruiting 2024 found it is the top priority for improvement for TA leaders globally — yet only 40% of talent acquisition functions have a formal mechanism for calculating it. The barriers are real: it requires a data handoff from recruiting to HRIS to performance management, it takes 90–365 days to produce the first data point, and it requires manager cooperation on post-hire surveys that most organizations haven't built into their process.
Quality of Hire by Source: The Most Actionable Use of the Metric
Once you have even rough QoH data, the highest-value application is tracking it by sourcing channel. Employee referrals consistently produce the highest QoH scores across organizations: they come pre-vouched, have realistic job previews, and tend to be higher performers at the 12-month mark. Agency placements tend to produce higher first-year attrition than direct-sourced hires. Passive candidates sourced outbound outperform job-board applicants on ramp speed and 12-month retention in most studies. Measuring QoH by source lets you optimize your sourcing spend toward channels that produce better outcomes, not just faster or cheaper fills.
Quality of Hire and the True Cost of a Bad Hire
The inverse of quality of hire is bad hire cost. The U.S. Department of Labor estimates the cost of a bad hire at a minimum of 30% of first-year salary. For a $100,000 role that means at least $30,000 in lost productivity, severance, and replacement costs. Gallup's research on voluntary turnover suggests the full loaded cost of replacing an employee reaches 1.5–2× annual salary when recruiting, onboarding, ramp-up, and lost institutional knowledge are accounted for. Quality of hire is the metric that prevents those costs from recurring.
Improving quality of hire starts at sourcing quality: the better the initial match between candidate and role, the better the downstream performance. UPPER's scoring model is designed to surface candidates with the highest predicted fit — translating better matches into measurably better QoH outcomes. Read about predictive matching and quality of hire →