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Glossary — Funnel Metrics

Time to Hire

The number of days between a candidate applying and that same candidate accepting an offer — a candidate-level clock, not a requisition-level one.

How it works

Time to hire is the number of calendar days between a candidate applying (or entering the pipeline) and that same candidate accepting an offer. Unlike time to fill, it follows the candidate, not the requisition — so it's a measure of how efficiently your process moves any given applicant through it.

The formula: time to hire = offer-accepted date minus the date that specific candidate first applied or entered the pipeline. Because it's tracked per candidate rather than per requisition, it can be averaged across everyone hired in a period, which makes it a cleaner measure of process speed than time to fill — a requisition that takes 40 days to fill because it sat unposted for three weeks might still have a fast 8-day time to hire for the person who eventually got it, since their personal clock only started once they applied.

Worked example

The same requisition, two different clocks

A requisition opens on day 0 but doesn't get real sourcing attention for three weeks (day 21). A candidate applies on day 21 and accepts an offer on day 29. Time to fill for this requisition is 29 days (offer accepted minus requisition opened). Time to hire for this candidate is just 8 days (offer accepted minus when they applied). The gap between the two numbers — 21 days — is entirely a sourcing delay, not a pipeline-speed problem, and the two metrics together are what reveal that distinction.

In staffing & high-volume hiring

The two metrics get mixed up constantly, and the mix-up matters: a long time to fill can mean a requisition sat open for weeks before anyone applied (a sourcing problem), while a long time to hire means candidates are applying but the process itself is slow to move them through (a pipeline or communication problem). In high-volume hiring, time to hire is usually the more actionable of the two, because it isolates exactly the parts of the funnel — screening speed, interview scheduling, follow-up cadence — that a recruiting team directly controls.

Common mistakes

  • Using time to fill and time to hire interchangeably in reporting, which makes it impossible to tell whether a slow number reflects a sourcing problem or a pipeline-speed problem.
  • Trying to fix a slow time to hire by sourcing more candidates faster — that's the fix for time to fill; a slow time to hire needs fixes inside the pipeline itself (screening, scheduling, follow-up).
  • Averaging time to hire across roles with very different interview-process lengths (a one-step hourly role vs. a multi-round specialized one) and treating the blended number as meaningful.
FAQ

Time to Hire FAQ

Which matters more, time to fill or time to hire?

They answer different questions. Time to fill tells you whether a requisition is taking too long to close overall; time to hire tells you whether your process is slow once someone is actually in the pipeline. A high-volume team usually wants to watch both, since a fix for one (like faster sourcing) won't necessarily fix the other.

What's the formula for time to hire?

Time to hire = the date an offer is accepted minus the date that candidate first applied or entered the pipeline, measured in calendar days.

Can time to hire be shorter than time to fill for the same requisition?

Yes, and it usually is — time to fill includes any period the requisition sat open before a candidate even applied, while time to hire only starts once that specific candidate entered the pipeline.

What typically drives a slow time to hire?

The usual suspects are a slow first response after applying, a scheduling bottleneck for interviews, and gaps between interview stages where nobody follows up — all of which are pipeline-speed issues rather than sourcing issues.

Is a very fast time to hire always a good thing?

Mostly, but not unconditionally — a time to hire so fast that it skips real screening or interview steps can trade speed for quality of hire, so the metric is best read alongside how well those fast hires actually perform and stay.

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