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Time to Hire is a recruiting metric that measures the elapsed time from when a candidate enters the hiring pipeline — or when a role is first opened — to the moment that candidate accepts an offer. It is one of the clearest indicators of hiring speed and process efficiency, capturing how quickly a team can move a person from first contact to signed acceptance. Because it tracks the candidate's journey rather than the total lifespan of a requisition, time to hire is closely related to but distinct from time to fill, which measures the full span from a job opening to the role being filled. A long time to hire is costly: strong candidates accept competing offers, business projects stall, and hiring managers lose momentum. Sourcing from pre-vetted talent pools with combined AI-plus-human matching compresses this window dramatically — WorkGenius, for example, typically delivers pre-vetted candidates within about 48 hours.
Time to hire is calculated by counting the days (or hours) between two fixed points: the moment a candidate first enters the pipeline and the moment they accept the offer. Teams usually report it as an average across recent hires to smooth out outliers and reveal trends.
The typical start and end points
Every stage in between — screening, talent vetting, interviews, and offer negotiation — adds to the total. That makes time to hire a diagnostic tool: a spike often points to a specific bottleneck, such as slow feedback loops or a thin talent pool. The fastest way to shrink it is to remove sourcing and vetting from the critical path by hiring from a pre-qualified network rather than starting cold.
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Book a Demo The two metrics are often used interchangeably, but they measure different things — and confusing them leads to misread hiring data. Time to hire tracks the individual candidate; time to fill tracks the requisition.
| Aspect | Time to Hire | Time to Fill |
|---|---|---|
| What it starts from | Candidate enters the pipeline | Job requisition is opened |
| What it ends at | Candidate accepts the offer | Role is filled |
| Primary focus | Efficiency of the hiring process | Overall demand and sourcing speed |
| Best used to diagnose | Interview and offer bottlenecks | Sourcing pipeline health |
Used together, they give a complete picture: time to fill shows how long demand goes unmet, while time to hire shows how efficiently your team converts a candidate once they are in play. Both improve when you shift from talent sourcing from scratch toward direct sourcing from a known, pre-vetted network.
WorkGenius is built to collapse time to hire without sacrificing quality. Instead of returning 300 unqualified maybes, the platform pairs AI matching with expert human recruiters — because neither AI nor humans alone deliver the right fit — to surface 3 to 5 curated, pre-vetted candidates typically within about 48 hours.
For a deeper playbook on speeding up contingent hiring, see the Contingent Workforce Management hub.
There is no universal benchmark — it varies widely by role seniority, industry, and how specialized the skills are. The more useful question is whether your time to hire is trending down over time and whether it is fast enough to win candidates before competitors do. Hiring from a pre-vetted talent pool can reduce it from weeks to days; WorkGenius typically delivers pre-vetted candidates within about 48 hours.
Time to hire measures a single candidate's journey — from entering the pipeline to accepting the offer. Time to fill measures the whole requisition — from the job opening to the role being filled. Time to hire tells you how efficient your process is; time to fill tells you how long a business need went unmet. Tracking both gives the clearest view of hiring performance.
Two ways. First, strong candidates rarely wait — a slow process means losing them to faster competitors and restarting the search. Second, an unfilled role delays projects, revenue, and product timelines while overloading the existing team. Shortening time to hire directly protects both talent quality and business momentum.
AI matching instantly narrows a large network to relevant candidates, while expert recruiters validate fit and context that algorithms miss — neither works as well alone. WorkGenius combines both to return 3 to 5 curated candidates instead of 300 maybes, so the shortlist is decision-ready in about 48 hours rather than after weeks of screening.
Yes, especially through a platform with a pre-vetted network. Because contingent workers are sourced and vetted in advance and onboarding is streamlined — including Employer of Record compliance — the pipeline is far shorter than a traditional permanent hire. This is often the single fastest route to filling a role with qualified talent.
Explore more concepts in our workforce glossary
Using artificial intelligence and machine learning to automatically match job requirements with qualified candidates.
Learn moreA curated database of pre-vetted candidates — employees, contractors, or freelancers — that a company or platform maintains for fast access to qualified talent.
Learn moreThe proactive process of finding and engaging potential candidates — including passive talent — to build a pipeline for current and future roles.
Learn moreA hiring approach that blends AI candidate ranking with expert recruiter judgment to produce a short, high-fit shortlist fast.
Learn moreWorkGenius combines AI-powered talent matching with enterprise-grade compliance. Source, onboard, manage, and pay freelancers globally — all from one platform.
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