TL;DR

Quality of hire measures how well new employees perform after joining, relative to what was expected at the time of hire. It's the most important metric in recruiting and also the hardest to calculate - because it requires connecting pre-hire decisions to post-hire outcomes, which most HR systems are not designed to do.

Why the Hardest Metric Is Also the Right One

Most recruiting metrics are process metrics: time to fill, cost per hire, offer acceptance rate, sourcing channel breakdown. These tell you how efficiently you're running the hiring machine. Quality of hire tells you whether the machine is producing anything worth having.

A recruiter can achieve a 14-day time to fill, a $2,400 cost per hire, and a 92% offer acceptance rate - and still be filling roles with people who underperform, leave within 18 months, and damage team output while they're there. Process efficiency without outcome quality is just moving fast in the wrong direction.

The most common approach to measuring quality of hire is a composite formula. LinkedIn's 2015 Global Recruiting Trends report popularized one version: Quality of Hire = (Performance Score + Ramp Time + Retention) / 3. Organizations add or substitute metrics based on what matters for their context. A sales org might weight quota attainment heavily. A software company might include code review pass rates and on-call incident frequency.

Manager satisfaction surveys at 30, 60, and 90 days are a practical proxy when performance management systems aren't mature enough to produce clean data. A simple 1-5 scale asking "To what extent is this hire meeting your expectations?" is better than nothing, and the data accumulates quickly at scale.

Source-of-hire analysis connected to quality metrics is where the insight gets operational. If candidates from employee referrals consistently score 15% higher on 12-month performance reviews than candidates from job boards, that has direct implications for where sourcing budget goes.

Why It Matters

The cost of a bad hire is consistently cited at 1.5 to 2 times annual salary, with some estimates running higher for senior roles. That includes severance, re-recruiting costs, productivity loss during vacancy, and the downstream drag on team performance during and after the failed tenure. For a $90,000 role, a bad hire costs $135,000 to $180,000 in total impact.

Quality of hire gives recruiters a business case for investment. When you can show that structured interviewing improves 12-month performance scores by 18%, or that pre-employment assessments reduce 90-day turnover by 22%, you're speaking a language that finance and operations understand. Recruiting becomes a revenue function, not just a cost center.

Recruiters who track quality of hire also develop better calibration over time. If you know that candidates who scored 4/5 on the problem-solving rubric in your interview outperform candidates who scored 3/5, you tighten your standards on that dimension. Without the feedback loop, you're making hiring decisions without knowing whether they're working.

In Practice

A SaaS company defines quality of hire using three inputs: 90-day performance rating from the hiring manager (1-5 scale), whether the employee is still with the company at 12 months, and whether they hit their first-year OKRs. Each component is weighted equally, producing a 0-100 composite score.

Recruiters review quality scores quarterly by source, job family, and hiring manager. Patterns emerge: candidates sourced through LinkedIn Recruiter consistently score lower than referrals for engineering roles, but higher than referrals for sales roles. One hiring manager's reports show systematically lower 90-day scores - a conversation about interview calibration follows.

Over 18 months, the data shows that adding a work sample test to the engineering interview process improved quality scores by 12 points. The test added one day to time to fill. The tradeoff is obvious.

Measuring quality of hire requires cooperation between recruiting, HR systems, and managers. The data lives in different places - ATS, HRIS, performance management software - and connecting it is a non-trivial integration. But companies that do it gain a recruiting function that can demonstrate its business impact with numbers.