Quality of hire is a measure of how much value new employees add after joining, usually an index built from performance ratings, time to ramp, retention and hiring manager feedback, and it is the main way a team checks whether its selection methods pick people who succeed.
How to measure quality of hire
There is no standard formula. Most teams build an index from a few components, each scored 0 to 100, and average them.
Quality of hire = (performance + ramp + retention + manager rating) / 4
- Performance. The first formal review, converted to 0 to 100. Performance research separates task performance (doing the job) from contextual performance (helping others, supporting the team). Rate both if your reviews allow it.
- Ramp. How quickly the person reached full output against a target for the role, such as closing their first independent ticket queue in 60 days.
- Retention. 100 if still employed at 12 months, 0 if they left, with regretted and unregretted exits tracked separately.
- Manager rating. A one-question survey at 90 days and 12 months: "Knowing what you know now, would you hire this person again?"
Pick weights if one component matters more for the role. Keep the formula fixed for at least a year so cohorts can be compared.
Why quality of hire matters
Time to hire and cost per hire tell you how efficient recruiting is. Neither tells you whether the people you hired were the right ones. Quality of hire is the outcome every other hiring metric is meant to serve.
It is also how you test the process. Selection research, including the meta-analysis by Sackett and colleagues (2022), judges methods by how well they predict later job performance. You can run a small version on your own data: compare interview scores at hire with quality of hire a year later. If they do not move together, the interview is measuring something other than success in the role. The U.S. Office of Personnel Management's assessment and selection guidance makes the same point for federal hiring: an assessment should be chosen for its link to job performance.
Investors apply the same test to the executives they back. Checking how past leadership calls turned out is the feedback loop behind underwriting talent in a portfolio company.
Worked example: one hiring cohort
Copperline Robotics, a fictional company, hired eight field engineers last year. It scores each at 12 months.
| Hire | Interview score at hire | Performance | Ramp | Retention | Manager | Quality of hire |
|---|---|---|---|---|---|---|
| Engineer 1 | 4.6 | 90 | 85 | 100 | 90 | 91 |
| Engineer 2 | 4.4 | 80 | 90 | 100 | 80 | 88 |
| Engineer 3 | 3.6 | 85 | 80 | 100 | 85 | 88 |
| Engineer 4 | 4.5 | 50 | 40 | 0 | 30 | 30 |
Four of eight are shown. The cohort average is useful, but the pattern matters more. Engineer 3 scored lowest at interview and performed as well as the top scorers. Engineer 4 scored high and left. When Copperline reads the per-question ratings from its structured interview, Engineer 4's high marks came mostly from a technical design question, while Engineer 3 had the strongest rating on a field troubleshooting exercise. Copperline moves more weight to the exercise for the next cohort, and re-checks the hiring bar it uses for the role.
Quality of hire vs time to hire and cost per hire
| Quality of hire | Time to hire | Cost per hire | |
|---|---|---|---|
| Measures | Whether the hire succeeded | Days from opening to accepted offer | Recruiting spend per hire |
| Available | 6 to 12 months after start | At offer | At offer |
| Owner | Hiring managers and HR together | Recruiting | Recruiting and finance |
| Risk if optimized alone | Slow, careful, expensive hiring | Rushed decisions | Cheap sources over good ones |
Teams that track only the two fast metrics tend to get faster and cheaper while hire quality drifts unseen. Track all three, and use outside benchmarking only for the fast ones, since quality of hire formulas differ too much between companies to compare.
Common quality of hire mistakes
- Measuring too early. A 30-day number mostly measures onboarding. Measure at 90 days for an early read and at 12 months for the real one.
- Using only the hires. You never see how rejected candidates would have done, so quality of hire shows what your process selects, not what it missed.
- Letting the hiring manager rate their own choice. Pair the manager rating with a formal review or a second rater.
- Not linking it back to selection. The point is to see which interview scores or criteria predicted success. Keep each scorecard and the candidate scoring from hiring so you can compare.
How ScoringFactory uses hiring outcomes
ScoringFactory learns a team's bar from its past decisions and from what its strongest hires had done before they joined, which ties talent scoring to outcomes rather than impressions. Every score is cited to the record, so a team can later see which evidence held up. Turning outcomes into forecasts is the job of predictive scoring; ScoringFactory informs the decision and the team makes it. See the hiring use case.
Frequently asked questions
How do you measure quality of hire?
Combine a few post-hire measures into one index. A common set is first performance rating, time to full productivity, retention at 12 months, and a hiring manager rating, each converted to 0 to 100 and averaged. Keep the same formula for every cohort so you can compare them, and keep the hiring scores to test against.
What is a good quality of hire metric?
A good metric is one you can collect for every hire, that is not decided by a single person, and that is measured late enough to reflect real performance. An index that blends a formal review, ramp time and retention meets those tests better than any one figure. Consistency over time matters more than the exact formula.
How long after hiring should you measure quality of hire?
Take an early reading at about 90 days and the main reading at 12 months. The early reading catches clear mismatches and onboarding problems. The 12-month reading includes a performance cycle and first-year retention. For senior roles with long ramp times, add a reading at 18 or 24 months.
Can you compare quality of hire across companies?
Not reliably. Each company defines the components, the scales and the review process differently, so a score of 80 at one firm does not equal 80 at another. Compare your own cohorts over time, by role, by source and by interviewer instead. Use external benchmarks for time to hire and cost per hire.
Sources
- Sackett et al. (2022), Revisiting meta-analytic estimates of validity in personnel selection, Journal of Applied Psychology (APA)
- Assessment and Selection, U.S. Office of Personnel Management, current text