Two placements close in the same month, same fee, same client. One employee is running their own accounts by week six. The other is still shadowing a colleague at month four and leaves within the year. Time-to-fill looked identical on both. Only one of those placements was actually a good hire — and if your agency can't show a client which one, you're selling speed and hoping it passes for quality.
This is a working framework for measuring quality of hire: three tracked signals, a formula for combining them, and how to put the resulting number in front of a client who's asking whether your placements are actually worth the fee.
Why quality of hire is different from every other recruiting metric
Quality of hire measures whether a placement actually worked, not how fast it happened or how many candidates were in the pipeline. It's the one metric that answers the question every client is really asking — did this hire perform, stay, and satisfy the manager who needed them — rather than a proxy for it.
Most recruiting metrics measure process: time-to-fill, cost-per-hire, candidates submitted per role. Those numbers are useful for running an efficient desk, but none of them tell a client anything about outcome. An agency can hit every process benchmark and still place people who quit in four months or never ramp to full productivity. Quality of hire is the metric that closes that gap — and it's the one most agencies measure badly, if they measure it at all.
The three-part framework: ramp time, retention, satisfaction
A defensible quality-of-hire score combines three signals: how fast the new hire reached full productivity, whether they stayed past the first year, and how satisfied the hiring manager was with the outcome. Each signal alone is incomplete; together, they cover speed, durability, and fit.
No single signal is sufficient on its own. Fast ramp time with early attrition just means you hired someone talented who left anyway. Long retention with a frustrated manager means the person stayed but never performed well. Only when all three point the same direction can an agency credibly say a placement was a genuinely good hire — and that's precisely why clients respond better to a combined score than to any one number in isolation.
Time-to-fill tells a client how fast you moved. Quality of hire is the only number that tells them whether moving fast actually paid off.
Ramp time: what to track and how to benchmark it
Ramp time is the number of days between a hire's start date and the point they're delivering at the level of an established team member, as confirmed by their manager. Track it by role family — a senior engineer and an entry-level coordinator ramp on entirely different timelines, so one blended average hides more than it reveals.
Ask the hiring manager directly rather than guessing: "At what point did this person feel like a fully contributing member of the team?" Log the answer at the 90-day checkpoint, and compare it against your agency's own historical average for that role family — not against a generic industry number, which rarely matches a specific client's ramp expectations. Over ten or more placements in the same role family, this becomes a real benchmark you can defend in a client conversation.
Retention: the window that actually predicts a bad hire
The retention window that matters most is 12 months, not 90 days. Early departures inside the probation period usually signal a mismatch caught quickly; departures between month six and month twelve are the pattern most correlated with a placement that looked right at offer stage but wasn't.
Track retention at three checkpoints — 90 days, 6 months, and 12 months — rather than a single pass/fail flag at year-end. A placement that leaves at month eight tells you something different than one that leaves at month two, and an agency that only checks once a year loses the ability to diagnose which stage of the hire actually broke down. The CIPD's knowledge hub on resourcing and retention treats this staged tracking as standard practice for exactly this reason.
Hiring-manager satisfaction: the score most agencies skip
Hiring-manager satisfaction is a short, structured score — typically 1 to 10 — collected at fixed checkpoints after placement, asking whether the hire is meeting expectations. It's the softest of the three signals but the fastest to collect, and it often surfaces problems before ramp time or retention data would show them.
Keep the survey to three questions: is the hire meeting expectations, would you hire this person again knowing what you know now, and would you use this agency again for a similar role. That third question doubles as a renewal signal for the agency itself. Send it at 90 days and again at 6 months — a single end-of-year survey misses the window where a manager's concerns are still fresh enough to be useful feedback.
A hiring manager who won't rate the placement usually has an opinion about it. Silence on a satisfaction survey is data too — it just takes a follow-up call to read.
A weighted scorecard: combining the three signals into one number
Combine the three signals into a single weighted score so a client sees one number instead of three disconnected metrics. The table below shows a working weighting model agencies can adapt — retention carries the most weight because it's the hardest signal to fake and the one clients care about most.
| Signal | Weight | How it's scored | Checkpoint |
|---|---|---|---|
| 12-month retention | 40% | Pass/fail against 12-month mark | 12 months |
| Hiring-manager satisfaction | 35% | 1-10 survey, averaged across checkpoints | 90 days & 6 months |
| Ramp time | 25% | Actual days vs. role-family benchmark | 90 days |
| Combined score | 100% | Weighted average, 0-100 scale | Rolling, per placement |
A placement with 12-month retention, an 8/10 manager satisfaction average, and ramp time at the role-family benchmark scores roughly 88 out of 100 under this model — a number you can put directly in a quarterly business review without translation.
Where this data belongs in your recruiting workflow
Quality-of-hire data is only useful if it lives somewhere the whole desk can see it, tied to the specific placement and recruiter that produced it. A number buried in one recruiter's inbox never becomes a pattern the agency can learn from or sell.
Add the three checkpoints as recurring tasks against each placement record, not as a separate side project. A recruitment tracker template with columns for ramp-time date, retention checkpoints, and satisfaction score turns this from an occasional client favor into a running dataset the agency can query — which roles, which clients, and which recruiters are producing the strongest placements over time.
Turning quality-of-hire data into your pitch to new clients
Aggregate quality-of-hire scores across placements become the strongest evidence an agency has in a new client pitch — stronger than time-to-fill, stronger than a candidate database size, because it directly answers the question every buyer is actually asking: do your placements stick.
Gartner's HR research has repeatedly flagged quality of hire as the metric hiring leaders trust most and measure least — which is exactly the gap an agency with a working scorecard can fill. Getting the sourcing side of that equation right matters just as much as the tracking: a shortlist built on genuine fit, the kind Yena is built to surface with evidence attached rather than volume alone, gives quality-of-hire tracking something worth measuring in the first place. Pair that with disciplined candidate screening earlier in the process, and the scorecard becomes a forecast, not just a postmortem.
Frequently asked questions
What is a good quality-of-hire score?
There is no universal number — quality of hire is relative to your own baseline. A useful benchmark is a weighted score above 75 out of 100 across ramp time, 12-month retention, and hiring-manager satisfaction, tracked consistently placement over placement so the agency can show a trend rather than a single snapshot.
How long after a placement should you measure quality of hire?
Take a first read at 90 days for ramp time, a second at 6 months for early retention and manager satisfaction, and a final read at 12 months for the retention number that actually predicts long-term fit. Measuring only at day one tells you nothing quality of hire is built to capture.
Can a small recruiting agency track quality of hire without expensive software?
Yes. A shared spreadsheet with three columns — ramp-time date, retention checkpoint, and a manager satisfaction score collected by a short survey or call — covers the full framework. The discipline of tracking consistently matters far more than the tool used to track it.
Is quality of hire the same as time-to-fill?
No, and conflating them causes real problems. Time-to-fill measures speed; quality of hire measures whether the person hired actually worked out. An agency can have excellent time-to-fill and poor quality of hire if it prioritizes speed over fit, which is exactly the pattern this framework is built to catch.
How do you get hiring managers to actually respond to a satisfaction survey?
Keep it to three questions and send it at a fixed checkpoint, not as an open-ended request. A one-line email at the 90-day and 6-month marks, tied to a specific placement by name, gets a far higher response rate than a generic quarterly survey sent to an entire client roster.
See how Yena helps recruiters shortlist for fit, not just speed →