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Recruiter Metrics: Time-to-Hire, Quality-of-Hire, Pass-Through Rates

Most recruiter dashboards show one number. Time-to-hire. Forty-two days. Thirty-seven days. The CFO doesn't care.

The CFO cares about cost. The hiring manager cares about whether the person you put in the seat is still there in ninety days and shipping. Your VP of People cares about both, plus whether your funnel is leaking in a way that predicts next quarter's miss. Time-to-hire alone answers none of those questions, and walking into a QBR with only that number is how recruiters lose budget arguments to agency line items.

This is the metrics stack I'd actually defend in a room with finance, the hiring manager, and the Head of TA in the same conversation. Six metrics, real B2B SaaS benchmarks, the pass-through math worked out, and a QBR slide that doesn't get torn apart.

The six metrics that actually matter

Pick these six. Drop the rest. The point isn't to track everything, it's to track the things that explain why your funnel looks the way it does and what the next dollar of recruiter budget should buy.

1. Time-to-hire (TTH)

Days from req open to offer accept. The headline number on every ATS dashboard, and on its own a vanity metric.

It's a vanity metric because you can move it in either direction without making your hires better. Drop your bar, fill seats faster. Add a panel round, slow it down. TTH only means something when you read it next to quality-of-hire and offer-accept rate.

Healthy B2B SaaS benchmarks: 35-50 days for IC roles (AE, SDR, mid-level engineer, recruiter, marketing manager). 60-80 days for senior and leadership (Director, VP, Staff engineer, Head of). If you're filling senior roles in 30 days, you're either an unusually well-organized shop or you're closing for speed and the new hire will be gone before their first stock vest.

2. Time-in-stage

Where the funnel actually stalls. Total TTH is an average of stage times, and the average hides the leak. If your TTH is 48 days but candidates spend 22 of those days waiting between recruiter screen and the hiring manager phone, that's not a sourcing problem, that's a calendar problem.

Track median days at: req open → first candidate sourced, recruiter screen → hiring manager phone, panel scheduled → panel done, panel done → offer extended, offer extended → offer accepted.

The two stages that quietly eat weeks: hiring manager phone scheduling (because hiring managers are busy and don't prioritize their own pipeline) and offer-extend → offer-accept (because candidates are sitting on competing offers you didn't know about).

3. Source-of-hire

Not source-of-applicant. Source-of-hire. Where do the people who actually got hired come from?

Cut into four buckets: referral, inbound (career site, job boards), outbound (sourcer or recruiter cold outreach), agency. Attach cost to each. Referrals look "free" until you count the bonus. Inbound looks cheap until you count the recruiter hours screening 800 applicants for two hires.

A healthy B2B SaaS source-of-hire mix: 30%+ referral (signals strong employer brand and engaged employees), 25-35% outbound (signals the recruiter team is actually sourcing, not just screening), 20-30% inbound, under 15% agency. If agency is north of 25%, that's a budget conversation, not a sourcing conversation.

4. Offer-accept rate

The trust metric. Of the offers you extend, how many close?

75% and above: healthy. The funnel is calibrated, comp is competitive, candidate experience isn't bleeding.

65-75%: warning zone. Something is wobbly. Comp might be just under market, the panel might be giving off a bad signal in the final round, or you're losing late to the same two competitors.

Under 65%: something is broken upstream. Either you're extending offers to candidates who were never going to take them (recruiter is closing for activity, not fit), comp is materially under market, or candidate experience in the loop is actively pushing people away. This is the metric that catches process problems the fastest.

5. Quality-of-hire

The hardest one to measure and the only one the hiring manager actually cares about.

Two cuts: 90-day retention plus manager satisfaction score, then 1-year performance rating.

90-day retention: did the person you hired make it past their probationary period without quitting or being managed out? In B2B SaaS, healthy is 95%+. If you're under 90%, you're hiring people who don't fit and the cost shows up everywhere: recruiter time on a backfill, the team's productivity hit, the morale tax on whoever sat next to the failed hire.

Manager satisfaction: a one-question survey at 90 days. "On a scale of 1-5, would you hire this person again?" Anything below 4 is a signal to dig in. Track it by recruiter and by hiring manager. If one recruiter has a 3.2 average and the rest of the team is at 4.4, that's a coaching conversation.

1-year performance rating: pull from the performance management system. Hires rated "meets" or "exceeds" at their first review = quality hire. Track ratio. Lag indicator, but it's the one that tells you whether your funnel is actually selecting for performance or just for likeability in interviews.

6. Cost-per-hire

Fully loaded. This is where finance lives.

Add up: recruiter time (recruiter hours × loaded hourly rate), tooling allocation (LinkedIn Recruiter, ATS, sourcing tools, scheduling tools, divided across hires per quarter), agency fees (when used), referral bonuses paid, advertising spend (job boards, sponsored posts), and any travel or onsite costs.

Divide by hires made in the period. Compare to agency baseline (typically 20-25% of first-year base salary).

For a $150K base IC role: agency would cost $30K-$37.5K. If your in-house cost-per-hire is $8K-$15K, you're saving the company $15K-$25K per hire and that's the budget argument for keeping your seat.

Reading the funnel: pass-through rates by stage

The other thing the metrics deck has to do is explain the funnel shape. A healthy B2B SaaS recruiter funnel, from recruiter screen forward, looks roughly like this:

  • 50% pass recruiter screen (recruiter screen → hiring manager phone)
  • 25% pass hiring manager phone (hiring manager phone → panel)
  • 50% pass panel (panel → offer)
  • 70% accept offer (offer → hire)

Worked example: 100 candidates into recruiter screen. 50 pass to hiring manager phone. 12-13 pass to panel. 6-7 pass to offer. 4-5 hires. So roughly 4-5% of recruiter-screened candidates become hires in a healthy B2B SaaS funnel.

That ratio is the floor. If you're below it, something is leaking. Each stage tells you a different story when it leaks.

Low recruiter-screen-to-phone pass (under 40%): sourcing problem. The candidates entering your funnel aren't matched to the role. Either the job spec is wrong, your sourcer is fishing in the wrong pond, or inbound is bringing in volume but not signal. Fix at the top of the funnel. Better intake with the hiring manager, tighter outbound criteria.

Low phone-to-panel pass (under 20%): the hiring manager and the recruiter aren't aligned on what "good" looks like. The recruiter is sending people the hiring manager doesn't think are qualified. This is an intake meeting problem, not a candidate problem. Run a calibration session. Have the hiring manager rate three candidates the recruiter screened "yes" and three the recruiter screened "no," then compare scores.

Low panel-to-offer pass (under 40%): the panel scorecards are misaligned with the screen criteria. Or the panel is "consensus by lowest common denominator" — one interviewer says no and the candidate dies. Look at scorecard rubrics. Look at whether the panel is rating against the actual job, or against an idealized version of the role.

Low offer-accept (under 65%): as covered above, this is comp, candidate experience, or competing offers. Pull the loss reasons from the last 10 declined offers and look for the pattern.

The pass-through rates are diagnostic. They don't just describe the funnel, they tell you which conversation to have next.

The "time-to-hire low but rejecting too early" trap

This is the one that catches recruiters who chase TTH as their primary metric.

The pattern: recruiter has a 28-day TTH, comfortably under benchmark. Hiring manager looks happy in week one. Then 90-day retention drops to 78%, manager satisfaction averages 3.1, and three of the last seven hires are on a PIP by their second quarter.

Diagnosis: the recruiter is closing for speed. They're pushing candidates through the funnel, getting "yes" decisions before the panel has had time to surface real signal, and the people who get hired are the ones who interview well, not the ones who do the job well.

How to spot it on the dashboard: TTH below benchmark + 90-day retention below 90% + manager satisfaction below 4.0 + offer-accept above 85% (because the recruiter is over-investing in close motion).

How to defend a slower funnel to a hiring manager who wants the seat filled yesterday: bring quality-of-hire numbers. "I can fill this in 28 days at our current 78% 90-day retention, or I can run a tighter loop at 42 days and put the retention back at 95%. The 42-day version is cheaper because we don't backfill in Q4." Hiring managers respond to total cost of ownership when you put it in numbers. They don't respond to "trust the process."

The QBR slide

One slide. The hiring manager skims it, the CFO reads it, the Head of TA defends it.

+--------------------------------------------------------------+
| Recruiter QBR — [Recruiter Name] — Q1 2026                  |
+--------------------------------------------------------------+
|                                                              |
|  Reqs: 12 open / 9 filled / 3 active                        |
|                                                              |
|  TTH (filled, this Q): 41 days IC | 68 days senior          |
|  Trend: ▼ 4 days vs Q4 2025                                 |
|                                                              |
|  Offer-accept: 82%  (benchmark: 75%+)        ✓              |
|  90-day retention: 96% (last cohort)         ✓              |
|  Manager satisfaction: 4.3 / 5               ✓              |
|                                                              |
|  Source-of-hire: 33% referral | 31% outbound |              |
|                  22% inbound  | 14% agency                  |
|                                                              |
|  Cost-per-hire: $11,400 (IC)                                |
|  Agency baseline: $32,500                                   |
|  Savings vs agency: $190K (9 hires this Q)                  |
|                                                              |
|  Top funnel risk: phone → panel pass rate at 18%            |
|  Action: calibration session w/ Eng hiring managers May 6   |
+--------------------------------------------------------------+

That's the slide. Status, speed, quality, source mix, cost vs alternative, and one identified risk with an action. Everything a Head of TA needs to defend your headcount in the next planning cycle.

The risk line is what separates a competent slide from a great one. Recruiters who only show wins look defensive. Recruiters who name a real funnel problem and the action they're taking look like operators. CFOs fund operators.

Vanity metrics to leave off the slide

Three things that look impressive and don't predict outcomes.

Applicants per role. A req with 800 applicants is not a healthier req than one with 80. Often it's the opposite. It's a signal of poor job spec or unspecific sourcing, and your screen-to-phone pass rate is going to be underwater. Volume is not signal.

LinkedIn InMail response rate in isolation. A 35% InMail response rate means people are replying. It does not mean those replies are turning into hires. Track InMail response → screen → hire conversion, not just response. A recruiter with a 18% response rate that converts to 4% hire is more productive than one with a 40% response rate that converts to 0.5% hire.

"Diversity of pipeline" without diversity of hire. If your top-of-funnel diversity is 45% and your hire diversity is 12%, the pipeline number isn't the metric, it's the alibi. The slide that hides the hire conversion is worse than no slide. Track diversity at every stage and report the leak.

These are seductive because they go up and to the right with effort. Quality and cost don't move that easily. That's the point — the metrics that are hard to move are the ones that mean something.

Closing

The recruiter who walks into a QBR with TTH alone gets compared to a spreadsheet of agency line items. The recruiter who walks in with quality and cost in the same view gets headcount approved next quarter.

The work is the same either way. You're already filling reqs, running screens, calibrating with hiring managers, fighting for offers. The metrics deck just translates that work into a language the people who control the budget actually speak. Build the six-metric stack once, run the QBR slide every quarter, and the next budget conversation gets shorter.

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