The short answer
Quality of hire is a measure of how much value new hires bring once they start, usually judged through a mix of job performance, time to become productive, retention, and hiring manager satisfaction. There is no single standard formula, so most teams build a simple index from three to five indicators. It matters because it is the one recruiting metric that tells you whether your hiring decisions were right, rather than how fast or cheaply you made them.
Quality of hire explained
A common formula is: quality of hire = (indicator 1 + indicator 2 + ... + indicator n) / n, where each indicator is first converted to a percentage. For example, an average performance rating of 4 out of 5 becomes 80%. Pick indicators you already collect reliably, and measure the same group of hires, called a cohort, at the same point in time.
Typical indicators include:
- Performance: average first-year rating of the cohort.
- Ramp-up: share of hires who reached a defined productivity goal on time.
- Retention: share still employed after 12 months.
- Hiring manager satisfaction: average answer to "Would you hire this person again?"
Example: a quality of hire calculation
A support team measured 10 hires a year after their start dates.
The single number is less useful than the comparisons it allows. Split the cohort by source, by interviewer, or by first-round score band. If people who scored highly in your interview scorecard don't outperform those who scored lower, the interview isn't predicting the job. OPM calls this validity: whether an assessment measures what it is meant to measure, such as job performance. Our guide on how AI interviews are scored applies the same test to automated scores.
Common mistakes
- Measuring too early. Thirty days shows onboarding, not quality. Most indicators need six to twelve months.
- Relying on one manager rating. One opinion carries the same biases you were trying to remove from the interview.
- Tiny groups. With three hires, one resignation moves retention by a third. Pool cohorts until the numbers are stable.
- Changing the formula each year. Keep the indicators fixed so trends mean something.
We don't publish a quality of hire benchmark, because definitions vary too much between employers to compare. Track your own trend, and read it next to cost per hire and time to hire.
Related terms
- Cost per hire: what each hire cost to make.
- Time to hire: how fast the process moved.
- Interview scorecard: the interview ratings you can test against quality of hire.
- Structured interview: the interview format built to predict performance.
- Pre-employment assessment: tests whose value quality of hire can check.
Questions
How do you calculate quality of hire?
Choose three to five indicators such as first-year performance, ramp-up, 12-month retention and hiring manager satisfaction. Convert each to a percentage, add them, and divide by the number of indicators. Measure the same cohort of hires at the same point in time.
When should you measure quality of hire?
Usually six to twelve months after the start date, once performance and retention data exist. Some teams add an early check at 90 days for ramp-up, but treat that as a leading signal rather than the final score.
Is there a benchmark for quality of hire?
Not a reliable one. Employers use different indicators and weights, so outside numbers rarely compare like with like. Your own trend over time, split by source and role, is the useful comparison.
Want interview scores you can later test against quality of hire? Book a 20-minute demo or try a sample interview.
