Time to Fill: The Complete Guide
An open position is not a neutral event. Every day a role sits unfilled, work goes undone, teammates absorb extra load, projects slip, and revenue opportunities pass. Time to Fill quantifies this exposure by measuring the number of calendar days between opening a requisition and having a candidate accept the offer.
For hiring managers, Time to Fill sets expectations about when help is arriving. For recruiters, it is the primary measure of process velocity. For finance teams, it affects headcount forecasting and budget planning. A company projecting 50 hires in H1 but averaging 65 days to fill instead of 40 will end the half significantly behind plan.
The metric also exposes systemic bottlenecks. If engineering roles take three times longer to fill than marketing roles, that gap demands investigation. Is the compensation off-market? Are there too many interview rounds? Is the hiring manager unresponsive? Time to Fill does not answer these questions directly, but it tells you exactly where to start asking.
What It Measures and Why It Matters
Time to Fill measures the elapsed calendar days from the moment a job requisition is approved (or posted) to the moment a candidate formally accepts the offer. Some organizations extend the definition to the candidate's start date, but the acceptance-date version is more standard because start dates are influenced by notice periods outside the company's control.
This metric matters because speed is a competitive advantage in talent markets. Top candidates are off the market within 10 days on average. A 60-day hiring process virtually guarantees you lose the best applicants to faster-moving competitors.
The Formula
Time to Fill = Offer Acceptance Date - Requisition Open Date
For aggregate reporting:
Average Time to Fill = Sum of Days to Fill for All Roles / Total Number of Roles Filled
Worked Example
A company filled five roles in March:
| Role | Requisition Opened | Offer Accepted | Days to Fill | |---|---|---|---| | Software Engineer | Feb 1 | Mar 10 | 37 | | Product Manager | Feb 10 | Mar 25 | 43 | | Sales Rep | Feb 15 | Mar 5 | 18 | | Data Analyst | Jan 20 | Mar 15 | 54 | | Marketing Coordinator | Feb 20 | Mar 8 | 16 |
Average Time to Fill = (37 + 43 + 18 + 54 + 16) / 5 = 33.6 days
The Data Analyst role is a clear outlier at 54 days, warranting investigation into whether the issue was sourcing difficulty, interview delays, or offer negotiations.
Industry Benchmarks
| Segment | Average Time to Fill (Days) | |---|---| | Overall average (SHRM) | 36 | | Technology / Software | 40 - 55 | | Healthcare (clinical) | 45 - 60 | | Finance / Banking | 35 - 45 | | Retail / Hospitality | 14 - 21 | | Executive roles | 60 - 90 | | Engineering (senior) | 45 - 65 | | Sales roles | 25 - 35 |
Remote-friendly companies and those with strong employer brands typically fill 20-30% faster than competitors in the same industry.
Common Calculation Mistakes
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Inconsistent start date definition. Some teams measure from job posting, others from requisition approval, and others from the date sourcing begins. Pick one definition and apply it uniformly, or comparisons across teams are meaningless.
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Confusing Time to Fill with Time to Hire. Time to Hire typically measures from a candidate's first engagement (application or sourcing contact) to offer acceptance. It reflects candidate experience speed. Time to Fill reflects the full requisition lifecycle. They answer different questions.
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Excluding cancelled or re-opened requisitions. If a req is open for 30 days, cancelled, and re-opened a week later, the total elapsed time should be tracked honestly. Cherry-picking only clean fills flatters the metric.
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Ignoring outliers. A handful of extremely long fills (executive searches, niche technical roles) can skew the average. Report both the mean and the median, and segment by role family.
How to Improve
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Tighten the intake process. Conduct a thorough kickoff meeting with the hiring manager before sourcing begins. Align on must-have versus nice-to-have qualifications, compensation range, and interview process. Misalignment discovered mid-search adds weeks.
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Reduce interview rounds. Every additional round adds 5-10 days. Consolidate interviews into panel sessions or same-day on-sites. Use structured scorecards to make decisions faster.
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Set and enforce SLAs. Require hiring managers to provide resume feedback within 48 hours and schedule interviews within one week. Track compliance and escalate delays.
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Build talent pipelines proactively. For recurring roles, maintain a warm pipeline of pre-screened candidates. When a req opens, you already have people ready for interviews instead of starting from scratch.
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Make competitive offers quickly. Once you identify the finalist, move fast. Conduct reference checks in parallel with final interviews. Have the compensation approval ready so you can extend an offer within 24 hours of the final decision.
Related Metrics
- Employee Turnover Rate — high turnover creates more reqs, compounding Time to Fill pressure
- Pipeline Velocity — the sales equivalent of hiring speed
- Cost Per Hire — longer fills drive higher costs; see the complete guide
- Offer Acceptance Rate — rejected offers reset the clock; see the complete guide
- Conversion Rate — tracking stage-to-stage conversion in your hiring funnel reveals where candidates stall
Putting It All Together
Time to Fill is a vital sign for your recruiting operation. Consistently long fills signal process dysfunction, talent market challenges, or misaligned expectations. But speed alone is not the goal. Rushing to fill roles with under-qualified candidates creates downstream problems in performance and retention. The best talent acquisition teams optimize Time to Fill alongside quality-of-hire metrics, ensuring they move quickly and hire well. Track it by department, role level, and recruiter to surface patterns, then act decisively on the bottlenecks you uncover.