Definition · Hiring metrics

Quality of Hire

By TapTalent Editorial TeamUpdated

Definition

Quality of hire is a measure of how much value new employees add after they join, usually a composite score built from indicators such as first-year performance, time to productivity, retention and hiring manager satisfaction. It is the metric that tells you whether recruiting is hiring the right people, not only hiring them quickly or cheaply.

Also called: QoH, Hire quality, New hire quality

Formula

Quality of hire (%) = (Indicator 1 score + Indicator 2 score + … + Indicator N score) ÷ N

Indicator score
Each indicator converted to a 0 to 100 scale, for example performance rating as a percentage of the top rating, or retention as the percentage of the cohort still employed at 12 months.
N
The number of indicators used. Three or four is typical; more adds noise without much insight.
Weighting (optional)
Some teams weight indicators, for example 40% performance, 30% retention, 30% ramp time. Weights must sum to 100%.

Worked example

A cohort of 50 customer service hires from Q1: average performance rating 3.6 out of 5 (72%), 78% hit the productivity standard by week 10, 12-month retention 64%, and hiring manager satisfaction 4.1 out of 5 (82%). Quality of hire = (72 + 78 + 64 + 82) ÷ 4 = 74%.

Choosing the indicators

There is no single official definition, so the first job is choosing indicators that mean 'a good hire' for your roles. The best ones are measurable from existing systems, available within a year of hire, and hard to game. Common choices:

  • Job performance. First formal review rating, or better, objective output such as quality scores, sales attainment or units per hour.
  • Ramp-up. Whether and how fast the hire reaches the role's productivity standard; see time to productivity.
  • Retention. Still employed at 90 days and at 12 months. New hire turnover is the inverse view.
  • Hiring manager satisfaction. A short survey at 60 to 90 days: would you hire this person again? See hiring manager satisfaction.
  • Attendance and conduct for hourly roles, where absenteeism and no-shows are a strong early signal.

For high-volume hourly roles, we would lean on objective operational data (90-day retention, attendance, productivity standard reached) and keep manager surveys short. For professional roles where output is harder to count, performance ratings and manager feedback carry more weight.

Worked example: comparing two sourcing channels

A national home services company hires 200 field technicians a year. Its TA analyst, Nicole, builds a quality of hire score from three indicators: 12-month retention, percentage of jobs completed without a callback (a quality measure from the dispatch system), and manager 'would rehire' rating.

For technicians hired through employee referrals: retention 74%, first-time fix rate 88%, rehire rating 85%. Score: 82.

For technicians hired through a general job board campaign: retention 51%, first-time fix rate 81%, rehire rating 70%. Score: 67.

The referral channel costs more per hire because of the $1,000 referral bonus, but its hires stay much longer and do better work. Nicole recommends raising the bonus and running a referral push each quarter, and she adds a short practical skills check to the job board funnel to see if it can close the gap. Six months later, job board hires who passed the skills check score 76.

Why quality of hire matters more at volume

In professional hiring, a bad hire is painful. In high-volume hiring, low hire quality becomes a system cost. If a 500-seat contact center loses 40% of new agents in the first 90 days, it has to recruit, screen, train and nest almost twice as many people as it needs. Training seats, trainer time and supervisor coaching all scale with that churn.

Quality of hire is also the only way to judge whether speed improvements are real. Cutting time to hire from 12 days to 5 is a win only if 90-day retention and productivity hold steady. Tracking quality next to speed and cost stops a team from optimizing the wrong thing.

Finally, it is the evidence base for your selection process. If candidates who scored high on an assessment or structured interview do not perform better after hire, the assessment is not earning its place in the funnel.

How to measure quality of hire in practice

  1. Define the cohort. Hires who started in a given quarter, in a given job family.
  2. Pick three or four indicators and the date each is captured (for example, retention at 90 days and 12 months, performance at the first review).
  3. Normalize each to a 0 to 100 scale and decide on weights.
  4. Calculate per hire, then per cohort, and keep the per-hire data so you can slice by source, recruiter, hiring manager, assessment score band and location.
  5. Feed the results back into sourcing budgets, screening criteria and interview design each quarter.

The per-hire link is the part most teams skip, and it is the most valuable. Connecting pre-hire data (source, assessment score, interview ratings) to post-hire outcomes is how you learn which parts of your process actually predict success.

Common mistakes

  • Relying only on performance ratings. They are often inflated and clustered, and they arrive too late for a fast feedback loop.
  • Measuring too early. A 30-day manager survey mostly measures first impressions.
  • Leaving out people who left. Excluding early leavers from the performance average makes quality look better than it is. Count them in retention and score them as zero for performance, or report them separately.
  • Changing the formula every year. Trends disappear when definitions move.
  • Treating it as a recruiter scorecard. Hire quality depends on onboarding, training and management too. Use it to improve the system, not to blame individuals.

How to improve quality of hire

Start with a clear, job-related definition of success, then work backward. Use structured interviews with scorecards tied to the competencies that predict performance. Add a work sample or skills test where one exists for the job. Give candidates a realistic job preview so people who would quit in week 3 opt out early. Move budget toward sources whose hires stay and perform. Then close the loop by reviewing outcomes by assessment score band every quarter and adjusting cut scores or questions that do not predict anything.

Frequently asked questions

What is the quality of hire formula?

A common formula averages several indicators scored from 0 to 100: quality of hire = (indicator 1 + indicator 2 + … + indicator N) divided by N. Typical indicators are performance rating, time to productivity, retention and hiring manager satisfaction.

How do you measure quality of hire?

Choose three or four post-hire indicators, capture them at fixed points such as 90 days and 12 months, normalize them to the same scale, and calculate a score per hire and per cohort. Then compare scores by source, recruiter and assessment results.

What is a good quality of hire score?

There is no universal benchmark because every organization builds the score differently. Track your own trend by job family, and compare channels and processes inside your company rather than against outside figures.

When should you measure quality of hire?

Capture early indicators such as 90-day retention and ramp-up within the first three months, and fuller indicators such as performance and 12-month retention at the first review or one-year mark.

Who owns quality of hire?

Talent acquisition usually owns the metric, but hiring managers, L&D and operations all influence it. The most useful reviews bring all of them together each quarter.