Quality of Hire: How to Measure It (With Examples)

Quality of hire answers the question every founder eventually asks the HR team: "Are we hiring good people, or just hiring fast?" Time to hire and cost per hire are easy to calculate, and most recruitment dashboards show them. But a team that fills roles in 20 days at ₹15,000 per hire has not succeeded if half those people leave in six months or underperform. This guide explains how to measure quality of hire in a way that works for Indian companies with 20 to 500 employees, with a simple formula, worked examples, and the traps that make the number meaningless.

What Quality of Hire Actually Means

Quality of hire is the value a new employee adds to the organisation compared with what you expected when you hired them. It is not one number you pull from a system. It is a composite of a few signals collected after the person joins, typically at 90 days, six months and one year.

The common signals are:

• Performance: the first formal or informal performance rating.
• Ramp-up time: how long until the person is fully productive.
• Retention: whether the person is still with you at six or twelve months.
• Hiring manager satisfaction: would the manager hire this person again?
• Engagement or conduct: attendance, discipline issues, peer feedback.

You do not need all five. Two or three, measured consistently, are far more useful than five measured badly.

A Simple Quality of Hire Formula

The most widely used approach is to convert each signal to a percentage and average them.

Quality of hire (%) = (Performance score % + Retention % + Hiring manager satisfaction %) / 3

Where:

• Performance score % = average first-review rating of new hires divided by the maximum rating, times 100.
• Retention % = new hires still employed after 12 months divided by total hires in the cohort, times 100.
• Hiring manager satisfaction % = average satisfaction rating divided by the maximum rating, times 100.

Worked example: a 120-person distribution company

Hypothetically, a distribution company hired 40 people between April and September. At the end of the following March, HR collects the data:

Signal	Raw data	Percentage
Performance	Average first-review rating 3.4 out of 5	68%
Retention	31 of 40 still employed at 12 months	77.5%
Manager satisfaction	Average 3.8 out of 5 on "would you hire again"	76%
Quality of hire	(68 + 77.5 + 76) / 3	73.8%

On its own, 73.8% tells you little. The value comes from comparing it across sources, roles, recruiters and time periods.

Break It Down by Source, Role and Recruiter

Quality of hire becomes useful when you slice it. Continuing the hypothetical example:

Source	Hires	12-month retention	Avg performance	Quality of hire
Employee referrals	10	90%	74%	81%
Job portals	18	72%	66%	71%
Recruitment agency	8	75%	70%	74%
Walk-ins	4	50%	60%	62%

Now the numbers suggest action. Referrals produce better hires in this example, so investing in a stronger employee referral program may pay off. Walk-in hires leave early, which may point to weak screening or a mismatch in expectations at the time of the offer. Small samples can mislead, so treat a cohort of four as a hint, not a conclusion.

Comparing quality with cost is also powerful. If agency hires cost ₹60,000 each and portal hires cost ₹12,000, but agency quality is only three points higher, the premium may not be justified for that role. Our guide to the cost per hire formula shows how to calculate the cost side.

Choosing the Right Inputs for Your Company

If you have a performance review process

Use the first formal rating. If your reviews happen once a year, also capture a 90-day review using a short form: is the person meeting expectations for their tenure, yes, partly or no?

If you do not have formal reviews

Many small Indian businesses do not. Use a hiring manager survey at 90 days and 6 months with three questions:

1. On a scale of 1 to 5, how well is this person performing compared with what you expected at hiring?
2. How long did it take this person to work independently? (under 1 month, 1 to 3 months, more than 3 months, not yet)
3. Knowing what you know now, would you hire this person again? (yes, maybe, no)

For frontline and sales roles

Use objective output where available: sales achieved against target for the first two quarters, billing accuracy for cashiers, attendance percentage for shift workers. Objective data is less affected by manager bias.

Connecting Quality of Hire Back to Hiring Decisions

The real purpose of measuring quality of hire is to improve how you select people. Once you have a year of data, look for patterns:

• Interview scores vs outcomes: do candidates who scored 4 out of 4 on your interview scorecard actually perform better? If not, your interview is measuring the wrong things.
• Assessment results vs outcomes: does the skills test predict performance? If high scorers and low scorers perform similarly, the test is adding friction without adding information.
• Interviewer patterns: some interviewers consistently approve people who later struggle. They may need training or calibration.
• Offer conditions: people who joined after a large negotiated hike sometimes leave early when the next hike disappoints. That is a signal about how you negotiate.

This is where structured interviews pay off. If every candidate is scored on the same weighted criteria, you can compare those scores with outcomes a year later. Fininvo Recruit stores interview scorecards against each candidate, and once a candidate accepts, the record converts to an employee profile in Fininvo HRMS, so the hiring data and the employee's later history sit in one system.

Common Mistakes in Measuring Quality of Hire

• Measuring too early: a 30-day check mostly measures onboarding, not hiring quality. Use 90 days as the earliest point.
• Relying only on retention: someone can stay for three years and underperform the whole time. Retention without performance is incomplete.
• Letting managers rate their own hiring decision without structure: managers tend to defend their choices. Use specific questions and, where possible, objective output.
• Ignoring involuntary exits: separate people who resigned from people let go. Both matter, but they tell different stories.
• Comparing tiny groups: a recruiter with three hires should not be judged on quality of hire alone.
• Not acting on the data: a quarterly report that nobody reads is wasted effort. Tie at least one decision per quarter to the numbers.

A Quarterly Quality of Hire Routine

1. At the end of each quarter, list everyone who completed 90 days, 6 months and 12 months in that period.
2. Send the three-question manager survey for the 90-day and 6-month groups.
3. Pull first-review ratings or objective output for the relevant groups.
4. Record retention for the 12-month group, separating voluntary and involuntary exits.
5. Calculate quality of hire overall and by source, role family and recruiter.
6. Compare with cost per hire and time to hire for the same cohorts.
7. Pick one change for next quarter, for example dropping a low-quality source or retraining interviewers on one competency.

Hiring speed still matters, and quality should be read alongside it. Put time to hire, cost per hire and quality of hire on the same one-page report so that nobody optimises one at the expense of the others.

Worked Example: Using Quality of Hire to Change a Decision

Consider a hypothetical 200-person retail and distribution business that hires about 60 field sales executives a year. For two years, the team has used a recruitment agency for half of these hires because it fills roles faster. The HR manager pulls one year of data:

Measure	Agency hires	Referral and portal hires
Hires	30	30
Average time to hire	18 days	29 days
Cost per hire	₹45,000	₹9,000
Achieved 80% of target in first two quarters	14 of 30	19 of 30
Still employed at 12 months	17 of 30	23 of 30

The agency is faster by 11 days, but its hires perform and stay less well in this example, and every agency hire who leaves within a year has to be replaced, often through the agency again. The business decides to keep the agency only for urgent openings in new territories, invest the savings in referral bonuses, and tighten the role briefing at interviews so candidates understand the target structure. The point is not that agencies are worse in general. It is that quality data, combined with cost and speed, turned a habit into a deliberate choice.

Track Hiring Quality With Fininvo

Fininvo's hiring analytics cover time to hire, cost per hire, source effectiveness and stage conversion, and HRMS keeps the employee record after joining. Learn more on Fininvo Recruit, see recruitment features in HRMS, or compare plans on the pricing page.

Frequently Asked Questions

What is a good quality of hire score?

There is no universal benchmark, because each company builds the score from different inputs. The useful comparison is against your own past cohorts and between your own sources and roles. A rising trend matters more than any absolute number.

How long after joining should we measure quality of hire?

Collect a first reading at 90 days, then at 6 and 12 months. The 12-month figure is the most reliable because it includes retention and at least one full performance cycle.

Can a small business with 10 hires a year measure quality of hire?

Yes, but treat the results as qualitative. With small numbers, review each hire individually: what did we expect, what happened, and what would we do differently in selection?

Is quality of hire the recruiter's responsibility alone?

No. Hiring managers make the final decision, and onboarding and management quality affect performance and retention. Quality of hire is a shared metric between HR and line managers.

Should quality of hire affect recruiter incentives?

It can, but only with enough data and a fair design. Many teams pair a small quality component with speed and volume metrics, so recruiters are not rewarded only for closing positions quickly.