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Quality of Hire: How to Measure It

Quality of hire measures the value a new hire adds over their first 6 to 12 months. Learn the common metrics and how to build a composite QoH score.

The RefineCV Team 8 min read
In short
Quality of hire is a composite metric. It captures the value a new employee adds over a set period after they start, usually the first 6 or 12 months. You do not measure it directly. You build it by combining indicators like job performance, retention, and hiring-manager satisfaction into one blended score.

Quality of hire tells you how much value a new employee adds after they join. It is a composite metric, measured over a set window such as the first 6 or 12 months. There is no single number you can pull from one system. Instead, you blend several indicators, like job performance, whether the person stays, and how satisfied the hiring manager is, into one score.

This guide explains the common ways to measure quality of hire and how to build a composite score step by step. The framing below draws on published HR research and guidance, including AIHR, LinkedIn Talent Solutions, SHRM, and the Schmidt and Hunter selection-methods meta-analysis. Where weights or specific formulas appear, treat them as illustrative. There is no agreed standard.

Key takeaways

  • Quality of hire (QoH) is an umbrella metric, not a single number. It combines several post-hire signals over a set window, usually 6 or 12 months.
  • There is no universal formula. AIHR presents one generic version: QoH = (Indicator 1% + Indicator 2% + ...) / number of indicators.
  • Commonly cited inputs include job performance ratings, new-hire retention, and hiring-manager satisfaction.
  • QoH is a lagging indicator. Meaningful data takes 6 to 12 months or longer, so it is slow to feed back into hiring decisions.
  • LinkedIn's 2024 Future of Recruiting report found talent professionals named QoH the No. 1 topic to shape recruiting over the next five years, yet it is also one of the hardest metrics to measure.
  • Pre-hire signals like structured-interview scores can predict eventual quality but never fully determine it.
Input metrics normalised 0 to 100 Performance rating 40% Retention 20% Ramp-up time 15% Hiring-manager satisfaction 15% Cultural add 10% 0 50 100 Weighted average QUALITY OF HIRE INDEX 78 / 100 Weights are illustrative, not standardised.
How a composite Quality of Hire Index is built: five normalised input metrics (each on a shared 0 to 100 scale) are combined by their weights into a single weighted average, producing one headline QoH score. Weights are illustrative, not standardised.

Why it matters

Quality of hire is widely seen as one of the most valuable metrics for judging recruiting performance. LinkedIn's 2024 Future of Recruiting report found talent-acquisition professionals named it the No. 1 topic that will shape recruiting over the next five years. At the same time, it is one of the hardest metrics to measure. As one LinkedIn expert put it, most people think it is important but do not actually measure it, or they use a measure that does not really capture quality.

This gap matters because what you measure shapes what you improve. If you cannot define what a good hire looks like, you cannot tell whether your hiring is working. SHRM's 2025 Recruiting Benchmarking Report found that only about 20% of organisations track quality of hire, so building even a simple composite score puts you ahead of most.

Common ways to measure quality of hire

Job performance rating

A manager's or review system's assessment of how well the new hire does the role. It is often captured at the end of probation and at the 6- and 12-month marks. It is among the most commonly used single inputs to quality of hire.

Time to productivity (ramp-up)

How long it takes a new hire to reach full expected output. Faster ramp signals a better-matched and well-onboarded hire. LinkedIn experts note ramp-up can extend up to roughly 18 months, so pick a window that fits the role.

Retention and early turnover

Whether the hire stays. It is often measured as first-year retention, 90-day turnover, or new-hire turnover. Early or regretted attrition is treated as a strong negative signal.

Hiring-manager satisfaction

The hiring manager's rated satisfaction with the new hire and the hiring process, usually collected by survey at set intervals. It is one of the inputs commonly cited alongside performance and retention.

Employee engagement

How engaged the new hire is once on the job. AIHR reports that respondents to LinkedIn's 2020 Future of Recruiting survey named employee engagement, employee retention, and performance ratings as the most effective QoH indicators.

Goal attainment

How far the new hire meets pre-defined objectives, OKRs, or role success criteria within the measurement window. This ties the score to outcomes you set in advance.

Cultural fit or cultural add

How well a new hire works within, and adds to, team and organisational ways of working. Some practitioners prefer the framing of 'cultural add' over 'cultural fit' to stress new value over conformity. Either way it is subjective and harder to quantify than performance or retention.

How to build a composite quality-of-hire score

Step 1: Define success before you hire

SHRM guidance is clear here. If you cannot describe what a good hire looks like before the person starts, you cannot measure quality afterwards. Write down the role success criteria first. These become the basis for your metrics.

Step 2: Pick your input metrics

Choose a small set of indicators that match the role. A common starting set is performance ratings, retention, and hiring-manager satisfaction. You can add ramp-up time, engagement, goal attainment, or cultural fit. Mixing pre-hire signals like structured-interview scores with post-hire signals gives you both leading and lagging views.

Step 3: Normalise each metric to a common scale

Your inputs use different units. Put each one on a shared scale, often 0 to 100, so they can be combined. AIHR's generic formula is QoH = (Indicator 1% + Indicator 2% + ...) / number of indicators, with one worked example being (Time to Productivity Score + End of Probation Review + Job Fit) / 3.

Step 4: Decide on weights, or keep it simple

You can combine the normalised metrics as a simple average or a weighted one. Some practitioner schemes put more weight on performance and less on retention, ramp-up, cultural fit, and manager satisfaction. These weights are illustrative, not standardised. A plain average is a fine place to start.

Step 5: Set a baseline and a measurement window

Calculate the score over a meaningful period, commonly 6 or 12 months, because QoH is a lagging indicator. Record an early baseline so you have something to compare against. Remember that data takes time to accumulate.

Step 6: Review and adjust over time

Track the score across cohorts and revisit your metrics and weights as you learn. No single data point captures quality, so treat the composite as a tool you refine, not a fixed verdict.

Do this

  • Define role success criteria before the person starts, so you have something concrete to measure against.
  • Combine several inputs, such as performance, retention, and hiring-manager satisfaction, since no single data point captures quality.
  • Normalise every input to one common scale before you average or weight them.
  • Choose a measurement window that suits the role, remembering ramp-up can run up to about 18 months.
  • Treat any weights you use as illustrative and document the choices you made.
  • Use pre-hire signals like structured-interview scores as predictors, not guarantees, of eventual quality.
  • Label cultural fit and manager satisfaction as subjective and keep them separate from harder metrics like retention.
  • Re-check your formula across hiring cohorts and adjust as you gather more data.

Common mistakes to avoid

Treating QoH as one number

Quality of hire is an umbrella measure, not a direct metric. If you rely on a single data point, you are likely measuring something narrower than quality. Build it from a combination.

Measuring too early

QoH is a lagging indicator. Meaningful performance and retention data usually need 6 to 12 months or longer. Judging a hire at 30 days tells you little about quality.

Ignoring the attribution problem

A new hire's success or failure depends on onboarding, management, the team, pay, and outside factors, not just the hiring decision. Be careful before using QoH to judge recruiting quality alone.

Copying weights as if they were standard

Weighting schemes that put, say, 40% on performance are illustrative. There is no single agreed set of inputs or weights. Borrowing them without thought gives false precision.

Over-trusting subjective inputs

Manager satisfaction and cultural fit are subjective. They are useful, but treat them with more caution than performance or retention numbers, which are easier to quantify.

Expecting pre-hire scores to be certainties

Schmidt and Hunter's 1998 meta-analysis shows strong predictors like general mental ability (validity around .51), or that combined with a structured interview or work sample (around .63), predict performance well but never perfectly. Pre-hire signals forecast quality. They do not determine it.

Frequently asked questions

What is quality of hire in simple terms?

Quality of hire is a composite metric that captures the value a new employee adds over a set period after starting, usually the first 6 or 12 months. It blends several indicators rather than relying on one number.

What are the most common metrics used to measure it?

Job performance ratings, new-hire retention, and hiring-manager satisfaction are commonly cited inputs. AIHR also reports that respondents to LinkedIn's 2020 Future of Recruiting survey named employee engagement, retention, and performance ratings as the most effective indicators.

Is there a standard formula for quality of hire?

No. There is no single agreed formula or set of weights for quality of hire. AIHR offers a generic version: QoH = (Indicator 1% + Indicator 2% + ...) / number of indicators. You choose the inputs that fit your roles.

How long should I wait before measuring quality of hire?

Quality of hire is a lagging indicator, so give it time. Meaningful performance and retention data usually take 6 to 12 months or longer. LinkedIn experts note some roles can take up to roughly 18 months to ramp up, so match the window to the job.

Why is quality of hire considered hard to measure?

Quality of hire is hard to measure for several reasons. Some inputs like manager satisfaction and cultural fit are subjective. The attribution problem makes it hard to separate the hiring decision from onboarding and management. Sample sizes per role are small, there is a time lag, and there is no one agreed formula.

What is the difference between pre-hire and post-hire indicators?

Pre-hire indicators are leading signals measured at or before hiring, like candidate assessment scores, structured-interview scores, and source yield. Post-hire indicators are lagging signals measured on the job, like performance ratings, time to productivity, job fit, retention, and hiring-manager satisfaction.

The bottom line

Quality of hire is one of the most valuable recruiting metrics and one of the hardest to measure. You cannot read it from a single source. You build it by defining success up front, choosing a few input metrics, putting them on a common scale, and combining them into one score over a 6 to 12 month window. Keep your weights honest, label the subjective parts, and refine the formula as you collect more data.

Most quality-of-hire work happens after a candidate starts, so it sits outside the CV stage. Even so, clear, well-structured candidate submissions help hiring managers judge fit accurately from the start, which is one input among many. Tools like RefineCV handle that formatting step, but the measurement work here is yours to own.

Help managers judge fit from the first read

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Related reading: recruitment metrics that matter most and what actually predicts job performance.

Sources

The RefineCV Team

Written by the team building RefineCV, CV formatting software for recruitment agencies.

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