TL;DR

Time-to-fill measures the number of days from when a job requisition is opened to when an offer is accepted. It is the primary efficiency metric for recruiting teams and one of the first numbers a new TA leader will be asked about. It tells you how fast your pipeline moves, but not much about the quality of what comes out the other end.

How Time-to-Fill Is Measured

The start date is the requisition open date, not the date the job was posted. This distinction matters because there is often a gap between when a role is approved and when it is active in the ATS. Some organisations start the clock at job posting, which produces an artificially lower number and obscures time lost in approval processes. The cleaner and more honest measure starts at req open.

The end date is the offer accepted date. Not the offer extended date, not the start date, not the background check completion. Offer accepted. Everything after that is onboarding and pre-boarding, which are important but separate.

Time-to-fill is typically reported as an average across all roles, and broken out by function, level, and hiring manager. Aggregate averages hide the variance that drives real decisions. A company might average 35 days overall while software engineering averages 65 days and administrative roles average 12. Those require entirely different interventions.

Benchmarks vary by industry and role type. A rough industry average across roles sits between 30 and 45 days. Technical and senior roles routinely run 45 to 90 days. Roles in healthcare, legal, and other specialised fields often exceed that. Comparing your time-to-fill to cross-industry averages is useful for context but rarely actionable. Compare to your own historical data and to roles in the same function.

Why It Matters for Recruitment

Time-to-fill is an efficiency metric, and efficiency without quality is just failure delivered quickly. The appropriate target is not the lowest possible number. Filling a senior role in eight days by lowering your standards is not a win. The goal is filling roles as fast as possible without compromising on quality, and the right benchmark depends on the role and the market.

For the business, every day a critical role is open has a cost. That cost shows up in productivity loss, overtime for the existing team, delayed projects, and in customer-facing roles, lost revenue. Time-to-fill quantifies the operational impact of slow hiring.

For recruiting teams, time-to-fill drives process improvement conversations. Where are candidates dropping out? Where are approvals getting stuck? Where is the interview scheduling taking too long? Each stage can be broken out separately as time-in-stage, which is the more useful diagnostic.

Time-to-fill also interacts with the candidate experience. A long and slow process loses candidates to competitors. Top candidates are typically managing multiple processes simultaneously. A company that takes five weeks to schedule a second interview will routinely lose to a company that moves in two.

In Practice

A 1,200-person retail business has an average time-to-fill of 52 days for store manager roles. The operations team is complaining that understaffed stores are running on overtime, and the regional managers want to know what is taking so long.

The TA lead breaks the number into stages. Requisition open to first interview: 18 days. Time in interviews: 14 days. Offer approval and extension: 12 days. Offer to acceptance: 8 days.

The 12-day offer approval window stands out. Investigation reveals that store manager offers require sign-off from a regional HR partner who is managing a large portfolio and reviews approvals in batches. Shifting to a delegated approval model for standard offers within the salary band cuts that stage to three days. Average time-to-fill drops to 43 days within two months. The operational pressure eases noticeably.

The fix had nothing to do with sourcing or candidate quality. It was a process problem, and time-to-fill data made it visible.

Key Facts