How to Calculate Quality of Hire

TL;DR: To calculate quality of hire, identify the outcomes that matter most for new hires, score each hire using consistent inputs, and combine those scores with a repeatable formula. The math can be simple. The real work is choosing clear inputs, weights, and review windows so the result means the same thing every time.

Quality of hire sounds like it should be pretty straightforward. You hired someone. They're doing well. Great hire, right?

But what makes someone a great hire isn’t typically captured by a single number. Performance, retention, time to productivity, and hiring manager satisfaction can all tell you something different about how successful a hire has been.

The challenge is figuring out how to bring those pieces together in a way that's meaningful to your team. And just as importantly, making sure you're measuring them consistently so you can actually compare results over time.

You don't need a perfect formula. You need one that makes sense for your organization, holds up over time, and helps you make better hiring decisions.

In this guide, we’ll get into:

• What quality of hire means
• Which inputs belong in your formula
• Three practical formula styles
• How to calculate the score step by step
• How to keep results comparable over time
• How to turn the number into hiring decisions

What Is Quality of Hire?

Quality of hire is a post-hire metric that measures how well new employees deliver against the outcomes your organization cares about most.

There is no universal formula because “quality” can mean different things across roles, teams, and business goals.

Choose Your Inputs Before Your Formula

Before you start crunching the numbers, there's one thing worth getting everyone on the same page about: What does a successful hire actually look like for this role?

After all, the skills, expectations, and measures of success can look pretty different depending on who you're hiring. Getting clear on those things upfront makes it much easier to choose the right metrics and understand what they're telling you later.

Most teams draw their inputs from five categories:

• Performance on the job: Whether the new hire is meeting role expectations. Sources: performance reviews, manager scores, goal progress.
• Retention or stay outcome: Whether the hire remains in the role through the agreed review point. Sources: HRIS records, retention reports.
• Hiring manager view: Whether the hire is meeting the manager’s expectations. Sources: hiring manager surveys, structured check-ins.
• Team or culture alignment: How the hire works with the team and demonstrates company values. Sources: manager feedback, peer feedback, values assessments.
• Ramp-up or speed to productivity: How quickly the hire reaches the expected level of contribution. Sources: ramp plans, productivity milestones, manager scores.

You don't need all five. Pick the inputs that reflect what success means for the role, then use this worksheet to define each one:

A few inputs are usually enough to get started. For many teams, three to five well-defined inputs provide more useful information than 10 inputs that people interpret differently.

Keep the first version manageable. Recruiters, hiring managers, and leaders should be able to understand the score without needing a separate meeting.

One guardrail: if you can’t define an input clearly or identify where its data comes from, it doesn’t belong in the formula yet. Add it to a future-version list rather than forcing it into the current score.

For a broader view of how quality of hire fits alongside other recruiting measures, read this guide to talent acquisition metrics.

Choose a Formula Your Team Can Defend

You've figured out what makes a great hire. Now, how do you turn all those different measures into one score that actually tells you something useful?

There's more than one way to do it. Here are three approaches worth considering:

Simple Average

A simple average works well when every input uses the same scale and has equal importance.

For example:

Quality of hire = (Performance score + Ramp-up score + Manager score) ÷ 3

If the three scores are 80, 90, and 85, the quality-of-hire score is:

(80 + 90 + 85) ÷ 3 = 85

Weighted Composite

A weighted formula works when some outcomes matter more than others.

For example:

Quality of hire = (Performance score × 40%) + (Ramp-up score × 30%) + (Hiring manager score × 20%) + (Retention score × 10%)

These weights are only an example. Your version should reflect what the business needs from the role.

Start with the simplest formula your team will use consistently. Add weights only when you can explain in plain language why one input matters more than another.

Threshold or Pass-Rate Model

A threshold model shows what percentage of hires meet an agreed quality standard.

For example:

Quality hire rate = Hires scoring 80 or higher ÷ Total hires measured

If 16 of 20 hires score at least 80:

16 ÷ 20 = 80% quality hire rate

This model is useful when leaders need a clear view of how many hires meet expectations, but it can hide differences among people above or below the threshold. Consider reporting it alongside an average score.

Calculate Quality of Hire Step by Step

The goal is to create a repeatable workflow—not a one-off spreadsheet someone rebuilds every quarter.

1. Define the cohort

Decide which group of hires you’re measuring.

Examples include:

• All sales hires who started in the first quarter
• Engineering hires who reached their six-month review
• Customer support hires who completed their first 90 days

Avoid combining groups with substantially different roles or review windows unless the inputs are genuinely comparable.

2. Collect the input scores

Pull each input from the source identified in your worksheet.

If you don’t have enough data for a hire, mark the information as missing rather than filling the gap with an estimate. Establish a minimum data-completeness rule before calculating the cohort score.

3. Normalize the scales

Make sure every input can be combined fairly.

For example, if performance is scored from one to five while retention is recorded as yes or no, convert both to a common scale such as 0–100:

Document these conversions so the same rules are used in future reports.

4. Apply weights, if applicable

Multiply each normalized input by its assigned weight. The weights should total 100%.

If you’re using a simple average, skip this step.

5. Calculate each hire’s score

Combine the inputs for each person using your chosen formula.

For example, suppose a hire has the following normalized scores:

• Performance: 90
• Ramp-up: 80
• Hiring manager satisfaction: 85
• Retention: 100

Using the weighted formula above:

(90 × 40%) + (80 × 30%) + (85 × 20%) + (100 × 10%) = 87

The individual quality-of-hire score is 87 out of 100.

6. Calculate the cohort result

Add the individual quality-of-hire scores and divide the total by the number of hires measured:

Cohort quality of hire = Sum of individual quality-of-hire scores ÷ Number of hires measured

Calculate quality of hire primarily at the cohort level. One standout hire can teach you something, but that person shouldn’t define the performance of the entire hiring process.

7. Record the definition used

Save the following information with every result:

• Formula version
• Included inputs
• Scoring scales
• Weights
• Review point
• Cohort definition
• Data-completeness requirement
• Relevant exclusions or exceptions

This record makes it possible to understand and reproduce the score later.

Keep the Score Comparable Across Roles and Time

You can calculate the score correctly and still end up with a number you can’t compare. That usually happens when roles, review points, or input definitions shift quietly between reports.

Before sharing a result, complete this comparability checklist:

A six-month score for technical roles shouldn’t be casually blended with a 90-day score for customer-facing roles if those jobs ramp at different speeds.

Different formulas are reasonable when roles require different success measures. Document those differences so future reports don’t become apples-to-oranges comparisons.

Turn the Number Into Hiring Decisions

Knowing your quality-of-hire score is a good start. But the real value comes from understanding what's driving it.

Are certain sourcing channels bringing in stronger hires? Are some interview approaches leading to better outcomes? Looking at your results alongside your hiring process can help you spot patterns and figure out what's worth doing more of (or differently).

Start by comparing your results across:

• Source: Which candidate sources are associated with stronger post-hire outcomes?
• Recruiter: Do recruiter-managed pipelines show patterns worth investigating?
• Hiring manager: Which managers consistently hire people who perform well after joining?
• Department: Where are scores strongest, and where might role expectations need clarification?
• Location: Do results differ across offices, regions, or remote roles?
• Interview stage: Which interview steps appear connected to stronger outcomes?
• Assessment: Are work samples, exercises, or screening methods helping identify stronger hires?
• Time to fill: Do faster or slower searches show a relationship with post-hire results?
• Offer acceptance: Are particular roles, sources, or managers associated with both accepted offers and stronger outcomes?

Treat these findings as signals for further investigation rather than automatic proof that one hiring activity caused the result. Cohort size, role difficulty, onboarding quality, and management conditions can all affect post-hire performance.

The goal isn’t to publish one polished summary number and move on. It’s to identify which parts of your hiring process produce stronger hires and make those patterns easier to repeat.

Common Quality-of-Hire Mistakes

If your score feels difficult to trust, the issue is usually in the setup. The number can only be as clear as the choices behind it.

Treating Retention as the Only Measure of Quality

Retention matters, but staying in a role doesn’t necessarily mean someone is thriving, contributing, or meeting expectations.

Combine retention with indicators such as performance, ramp-up, and structured manager feedback.

Mixing Different Review Windows

A 90-day score and a one-year score answer different questions. Combining them can make the result difficult to interpret.

Measure everyone in a cohort at the same agreed checkpoint.

Using the Same Inputs for Every Role

Some inputs can be shared across the organization, but role-specific success measures may require separate formulas.

For example, speed to quota may be relevant for sales roles, while delivery quality or technical milestones may be more appropriate for engineering roles.

Using Vague Inputs

Terms such as “great attitude” or “strong potential” can mean different things to different managers.

Define what each score represents before using it. Structured rating definitions make results more consistent and useful.

Reporting Only One Blended Score

A company-wide average can hide patterns by manager, source, department, location, or role.

Report the overall result alongside relevant cohort breakdowns.

Changing the Formula Without Tracking Versions

A score calculated with new inputs or weights shouldn’t be compared directly with an older score unless the difference is clearly documented.

Assign each formula a version name or date and include it in every report.

Frequently Asked Questions

How Do You Measure Quality of Hire?

Choose shared post-hire inputs, score each hire against those inputs, and combine the scores across a defined cohort. Common inputs include job performance, retention, hiring manager feedback, team alignment, and ramp-up speed.

Use the same definitions, scoring range, formula, and review point each time.

What Questions Should You Ask a Hiring Manager?

Before building a quality-of-hire score, ask:

1. What does success look like in this role?
2. When should that success become visible?
3. What would below-expectation performance look like?
4. Which outcomes matter most for this role?

The answers help you select inputs that reflect the actual job rather than a generic hiring score.

What Is the 80/20 Rule in Recruiting?

The 80/20 rule in recruiting is a rule of thumb, not a quality-of-hire formula. It generally suggests that a small share of activities, sources, or relationships may drive a large share of results.

It can help teams evaluate sourcing efforts, but quality of hire is measured after someone joins and begins contributing.

How Often Should You Calculate Quality of Hire?

Calculate quality of hire whenever a full cohort reaches the same agreed review point.

For example, you might wait until everyone in a start-date cohort reaches the six-month checkpoint. Use the same formula version, inputs, and review window so each report remains comparable.

Why Do Teams Choose Lever?

Teams choose Lever when they want an ATS and recruiting CRM that combine applicant management and candidate relationship-building. Lever also supports configurable workflows, hiring analytics, and reporting for growing in-house talent acquisition teams.

Make the Score Worth Using

There's no magic formula for measuring quality of hire. And chances are, the one you start with won't be the one you use forever.

That's okay. Start with a few metrics that matter to your team, look at how your recent hires stack up, and see what you can learn. Maybe you'll uncover a sourcing channel that's consistently bringing in great talent. Or an opportunity to rethink how you're evaluating candidates.

The important part isn't getting the formula perfect. It's making sure the results tell you something useful about your hiring process and what you can do better next time.

Want to connect the dots between your recruiting efforts and hiring outcomes? See how Lever helps teams track hiring activity, spot patterns, and make more informed decisions.