Time to first resumes, time to first interviews, and time to fill measure recruiting speed, and speed is worth tracking, but none of it tells you whether a hire was actually good. The metrics that do: 90-day and one-year performance ratings, promotion or internal mobility within 18 to 24 months, ramp time to full productivity, and whether the hiring manager would make the same hire again. Tenure alone is a weak proxy, since a mediocre performer can stay for years and a strong one can get promoted out of the role in twelve months.
Every intake call runs the same pattern. How fast can you get us resumes? How long until we're in first-round interviews? What's our average time to fill going to look like? These are fair questions, speed is real money in a competitive market, and we answer them in detail because clients deserve to know what they're signing up for.
Then, almost without exception, the conversation lands on exactly one quality question: how long do your placements stay? That's it. Not how they perform. Not whether they got promoted. Not whether the hiring manager would make the same call again given what they know now. Just tenure, treated as a stand-in for everything else that actually determines whether a hire worked out.
Hiring managers can rattle off their target time to fill without hesitation. Ask what "a good hire" looks like eighteen months out and the answer is almost always some version of "still here," which is a real signal, but an incomplete one. The metrics that actually predict whether someone was worth hiring rarely come up until we ask about them directly.
The Speed Metrics Everyone Asks About First
None of this is a knock on speed. In a competitive market for eCommerce and DTC talent, the difference between a two-week and a six-week search is often the difference between landing the candidate and losing them to a faster-moving offer. These are the three we get asked about most, and they're worth tracking closely.
Time to First Resumes
How quickly a search produces the first slate of qualified candidates after intake. This is a pipeline health metric: it tells you whether the role is sourceable at the comp and scope you've set, and it's usually the first sign of a search that's going to run long.
Time to First Interview
The gap between intake and the first candidate actually sitting down (or logging on) with the hiring team. Feedback speed on the hiring team's side affects this as much as sourcing speed does. We covered the feedback side of this specifically in our look at how long candidates think is reasonable to wait for interview feedback.
Time to Fill
Start-to-signed-offer, the headline number most companies benchmark against. Useful for planning and budgeting, but it's a process metric. It measures how efficiently a search moved, not whether the person who accepted the offer was the right one.
All three of these are process metrics. They tell you how efficiently the search moved. They tell you nothing about what happens after the person shows up for their first day, which is exactly where the real question starts.
Why "How Long Did They Stay" Isn't a Quality Metric
Retention is worth tracking. We track it ourselves, closely, across every placement we make. But treated on its own, as the single quality checkpoint, it has two problems that make it a weaker signal than most hiring teams assume.
First, it rewards the wrong kind of staying. A mediocre performer in a soft job market, or someone who's simply comfortable and not looking, can post a long tenure without ever meaningfully moving the business forward. A retention number that only counts "still here" can't distinguish that person from someone who's been quietly excellent the entire time.
Second, and just as often overlooked, it punishes the wrong kind of leaving. A genuinely strong hire who gets promoted into a bigger role somewhere else after eighteen months looks, on a pure tenure report, identical to a bad hire who quit in month fourteen because the role wasn't a fit. One of those outcomes is exactly what you'd want from a great hire. Reading them as the same data point misses the distinction entirely, and it's part of why we push clients past "how long did they stay" toward what that person actually did while they were there, and where they went afterward. It matters just as much on the front end, too: candidates who go in with an honest, accurate picture of the role are the ones more likely to stay for the right reasons, which is the whole premise behind setting honest expectations in the interview process in the first place.
The Quality Metrics That Actually Predict a Good Hire
These are the metrics worth building into your hiring process if you want a real answer to "did we make a good hire," not just "did they stay."
90-Day Ramp Assessment
A short, structured check-in at the 90-day mark: is this person producing independently yet, or still leaning heavily on support? It's too early to render final judgment, but it's the earliest reliable signal of whether onboarding and role clarity actually worked.
One-Year Performance Rating
The first full performance cycle, ideally scored against the same rubric the rest of the team uses so it's comparable across hires and across sourcing channels. This is where you can start seeing whether hires from one channel, one recruiter, or one sourcing strategy are consistently outperforming another.
Promotion or Internal Mobility Rate
The percentage of hires who get promoted, take on expanded scope, or move into a bigger role within 18 to 24 months. This is arguably the single strongest quality signal available, because it requires someone else, a manager, not the recruiter, to independently decide the person earned more responsibility.
Ramp Time to Full Productivity
How many weeks or months until the hire is delivering at the level expected of someone fully ramped in the role, not just competent at the basics. A short ramp time is a strong sign the role was scoped accurately and the candidate was a genuine fit, not just a plausible resume.
"Would You Hire This Person Again" Score
A simple question, asked directly to the hiring manager at the one-year mark: knowing what you know now, would you make this same hire again? It's blunt, it's fast to collect, and it cuts through a lot of noise that more elaborate scorecards tend to bury.
Mandate Attainment
Every hire is made for a reason: grow paid social, fix a broken fulfillment process, stand up a retail media function from scratch. A year in, did that thing actually happen? This ties performance back to the specific reason the role existed in the first place, rather than a generic competency score.
How to Track These Without Building a Bureaucracy
None of this requires a formal performance management overhaul built solely for hiring metrics. The simplest version that actually gets used is a short, structured check-in at three fixed points: 90 days, six months or one year, and 18 to 24 months. Two or three questions each time, not a survey. Ramp assessment at 90 days. Performance rating and "would you hire them again" at the one-year mark. Promotion or mobility status at the 18 to 24 month checkpoint.
The part that gets skipped most often: sharing that data back with whoever sourced the hire, whether that's an internal recruiter or an outside search partner. A recruiting relationship that only ever hears "still there, thanks" has no way to calibrate what's actually working in the pipeline. One that hears "promoted to team lead in month sixteen" or "struggled to ramp, let go in month five" can adjust who they're presenting and why, search over search.
What to Ask a Recruiting Partner About Quality, Not Just Speed
If you're evaluating recruiting partners, or reassessing one you already work with, the speed questions are easy to get answered. Average time to fill, average time to first slate, these are usually published or answered without hesitation. The quality questions are the ones worth pushing on directly: do they track what happens to their placements after the offer is signed? Do they know their own promotion rate, not just their retention rate? Can they tell you, across the last twenty placements, how many are still performing well versus how many quietly underdelivered?
If a recruiting partner can tell you their average time to fill down to the day but has no idea whether their placements from a year ago got promoted, that's worth noticing. The pipeline metrics predict how fast you'll be interviewing. The performance metrics predict whether you made the right call.
Frequently Asked Questions
What are the most important recruiting quality metrics?
The metrics that best predict whether a hire actually worked out are 90-day and one-year performance ratings, promotion or internal mobility within 18 to 24 months, ramp time to full productivity, and whether the hiring manager would make the same hire again. These outcome metrics matter more than speed metrics like time to fill, and more than retention alone.
Is employee retention a good measure of hiring quality?
Retention is worth tracking, but it is an incomplete and sometimes misleading quality signal on its own. A mediocre performer can stay in a role for years out of comfort or a weak job market, while a genuinely strong hire may leave within eighteen months because they got promoted into a bigger role somewhere else. Retention needs to be read alongside performance data, not treated as a stand-in for it.
How soon should you measure a new hire's performance?
A short 90-day check-in is the earliest useful signal, mainly on ramp speed and early output rather than final judgment. The more reliable read comes at the six-month and one-year marks, once the person has owned a full cycle of the role's core responsibilities, whether that's a product launch, a promotional calendar, or a full quarter of pipeline ownership.
What's a reasonable promotion rate to expect from strong eCommerce hires?
There's no universal benchmark, since it depends heavily on company size, role level, and how fast the business is growing, but a useful internal exercise is comparing promotion rate within 18 to 24 months across hires from different sources or different recruiting partners. If placements from one channel are getting promoted at a meaningfully higher rate than another, that channel is finding better talent, not just filling the seat faster.
How can hiring teams track quality metrics without adding a lot of overhead?
Keep it to two or three questions at fixed checkpoints (90 days, six months, and 12 to 18 months) rather than a full performance review process built just for this purpose. A short structured note from the hiring manager, shared back with whoever sourced the hire, is enough to start building a real picture of quality over time.