What Is Time to Fill?
Time to fill is a recruiting metric that captures how long it takes to fill an open position, measured in calendar days from requisition approval to offer acceptance.
It answers one question: once you decide you need someone, how long does it take to get them?
Every open day carries a cost. Unfilled roles strain existing employees, delay projects, and erode revenue. For frontline-heavy industries like healthcare, hospitality, and manufacturing, high time to fill compounds quickly. A warehouse missing 15 workers for 60 days is not just an HR problem. It is a throughput problem that hits the P&L directly.
Time to fill is often confused with time to hire, but they measure different things. Time to hire tracks the candidate's journey, starting when they apply and ending when they accept. Time to fill tracks the organization's process, starting when the requisition opens. A company might have a fast time to hire (candidates move quickly through the funnel) but a slow time to fill (because it takes weeks to approve the req and post the job).
The distinction matters for diagnostics. If time to fill is high but time to hire is low, your bottleneck is upstream: slow approvals, unclear headcount planning, or delayed job postings. If both are high, the problem is in the funnel itself: screening, interviewing, or decision-making.
Over the last four years, time to fill has trended upward. Tighter labor markets, increased competition for specialized roles, and longer candidate evaluation processes have all contributed. Organizations that tracked 36-day averages in 2017 are now reporting 42 to 54 days for similar roles.
The Time to Fill Formula
Time to Fill = AVG(DAYS_BETWEEN(Position Created, Position Filled))
Here is how to calculate it step by step:
Step 1: Define your start date. This is the date the job requisition is created or approved in your ATS or HRIS. Not the date the job is posted externally. The requisition date captures the full organizational process, including internal approvals and job description finalization.
Step 2: Define your end date. This is the date the candidate formally accepts the offer. Not the start date and not the date the offer is extended. Acceptance marks the point where the position is considered filled.
Step 3: Calculate days between. For each filled position, subtract the start date from the end date. Use calendar days, not business days. Hiring does not pause on weekends; candidates are evaluating other offers on Saturdays too.
Step 4: Average across positions. Sum all individual time to fill values and divide by the number of positions filled in the period.
Formula variation note: Some organizations use the job posting date as the start point instead of the requisition date. This shortens time to fill by hiding the approval lag. If your goal is to diagnose the full process, use the requisition date. If your goal is to benchmark recruiter performance specifically, the posting date may be more appropriate. Be consistent and transparent about which definition you use.
Worked Example
Regional Medical Staffing, a PE-backed healthcare staffing company with 1,200 employees, wants to evaluate their Q1 hiring performance. They filled 24 positions during the quarter.
Here are five representative roles:
- Medical Receptionist: Requisition created Jan 8, offer accepted Jan 29. Time to fill: 21 days.
- Billing Specialist: Requisition created Jan 15, offer accepted Feb 28. Time to fill: 44 days.
- Registered Nurse (Night Shift): Requisition created Feb 1, offer accepted Apr 2. Time to fill: 60 days.
- HR Coordinator: Requisition created Feb 10, offer accepted Mar 5. Time to fill: 23 days.
- Physical Therapist: Requisition created Jan 22, offer accepted Apr 8. Time to fill: 76 days.
Overall Q1 average: Across all 24 positions, the total days summed to 984. Average time to fill: 984 / 24 = 41 days.
That 41-day average looks reasonable against industry benchmarks. But averages hide the story. When the VP of People segments the data, the picture changes:
By department:
- Administrative roles: 24 days average (8 positions filled)
- Clinical support roles: 38 days average (10 positions filled)
- Licensed clinical roles: 64 days average (6 positions filled)
By source channel:
- Employee referrals: 26 days average
- Job boards: 43 days average
- Agency placements: 52 days average
The licensed clinical roles are dragging the average up by 23 days. And within that group, night shift positions take 18 days longer than day shift positions for the same role.
This is where time to fill becomes a diagnostic tool. The 41-day headline number is fine for board reporting. The segmented view tells the VP of People exactly where to focus: build a dedicated pipeline for night shift clinical roles, invest in referral bonuses for hard-to-fill specialties, and pre-screen candidates before requisitions open for roles with predictable turnover patterns.
HRBench Time to Fill Benchmark Data
Based on HRBench benchmark data, here is how time to fill breaks down by industry and company size. Values are in calendar days.
Larger organizations tend to fill faster. This may seem counterintuitive, but companies with 1,000+ employees typically have dedicated recruiting teams, established employer brands, and structured processes that accelerate hiring. Smaller organizations often rely on hiring managers who recruit as a secondary responsibility, which extends timelines.
What Data Do You Need to Calculate Time to Fill?
Requisition creation date. This lives in your ATS (Greenhouse, Lever, iCIMS, Workday Recruiting) or HRIS. Ensure this field captures the date the requisition was approved, not just drafted. Some systems track both.
Offer acceptance date. The date the candidate formally accepts. Most ATS platforms log this automatically when an offer status changes to "accepted." If your system does not track this, use the date the signed offer letter is received.
Position identifier. A unique requisition or job ID that links the opening to its fill. This is critical for calculating averages across multiple positions.
Data quality considerations:
- Reopened requisitions. If a position is opened, closed (unfilled), and reopened, decide whether to count from the original open date or the reopen date. Most organizations restart the clock on reopen.
- Internal transfers. When an internal candidate fills a role, should that count toward time to fill? It depends on your goal. For benchmarking recruiter efficiency, exclude internal moves. For workforce planning, include them.
- Acquired entities. After a merger or acquisition, the acquired company's historical data may not align with your requisition process. Normalize before blending data sets.
- Contractor conversions. If a contractor converts to full-time employment, the time to fill may appear artificially short. Flag these separately.
- Seasonal roles. Seasonal hiring (holiday retail, summer hospitality) should be segmented from permanent roles. Blending them distorts your average.
Why HR Leaders Need to Track Time to Fill
Vacancy Costs Hit the Bottom Line
Every unfilled day costs money. SHRM estimates open positions cost between $4,000 and $9,000 per month in lost productivity, overtime for remaining staff, and delayed revenue. For revenue-generating roles (sales reps, clinicians, technicians), the cost can exceed the role's daily compensation rate. A sales position open for 60 days at a $500,000 annual quota represents roughly $82,000 in lost pipeline.
Workforce Planning Depends on Predictable Timelines
If your average time to fill is 45 days, you need to initiate requisitions 45 days before the business needs the headcount. Finance and operations teams use time to fill as an input for capacity models, project timelines, and budget forecasts. When time to fill is unpredictable, these models break.
Executive and Board Reporting
Time to fill is one of the most commonly requested recruiting metrics in board presentations and executive dashboards. It is tangible, easy to benchmark, and connects directly to organizational agility. PE firms and investors track it as a leading indicator of operational maturity.
Candidate Experience Deteriorates with Long Processes
Top candidates are off the market within 10 days. Research shows 23% of candidates lose interest after one week without hearing back, and 46% disengage after two weeks. A long time to fill does not just cost you money. It costs you the best people, leaving you with whoever is still available at the end of a 60-day process.
It Reveals Process Bottlenecks You Cannot See Otherwise
Tracking time to fill at the aggregate level is useful. Tracking it by stage is transformative. When you break the metric into sub-stages (days to approve, days to post, days to screen, days to interview, days to offer, days to accept), you pinpoint exactly where the process stalls. Most organizations discover that hiring manager scheduling and decision-making are the biggest bottlenecks, not sourcing or screening.
M&A Due Diligence and Integration
During acquisitions, time to fill signals how well a company can scale. A target company with a 70-day average time to fill will struggle to absorb growth. PE firms use this metric to evaluate operational readiness and forecast integration timelines.
Benchmarks and Interpretation
General ranges by category:
By role level:
- Entry-level and support staff: 20 to 30 days
- Mid-level individual contributors: 30 to 45 days
- Managers and senior individual contributors: 45 to 60 days
- Directors and VPs: 60 to 90 days
- C-suite and executives: 90 to 120+ days
By source channel:
- Employee referrals: 29 days average
- Job boards: 39 to 42 days average
- Staffing agencies: 45 to 55 days average
- Passive sourcing: 50 to 65 days average
Important context: External benchmarks provide useful reference points, but internal trends matter more. If your time to fill drops from 52 days to 38 days over three quarters, that improvement is more meaningful than comparing yourself to an industry median. Track your own trajectory and use benchmarks to set initial targets, not as permanent goals.
A "good" time to fill depends on what you are hiring for and what quality of hire you are achieving. Filling a senior engineering role in 25 days sounds impressive until you realize you are skipping reference checks and rushing decisions. Speed without quality creates its own set of problems.
Common Mistakes
Counting business days instead of calendar days. Calendar days are the standard. Candidates do not pause their job searches on weekends, and neither does your competition. Using business days artificially deflates your numbers and makes benchmarking impossible.
Using the posting date instead of the requisition date without noting the difference. Both are valid start points, but they measure different things. If you use the posting date, you are hiding approval delays. Be explicit about which definition you use, and keep it consistent across reports.
Averaging across all roles without segmentation. A blended average of 40 days means nothing if your admin roles fill in 18 days and your engineering roles take 75. Segment by department, level, and location at minimum.
Treating time to fill as a target to minimize at all costs. Faster is not always better. Aggressive time to fill targets can pressure recruiters into cutting corners, skipping pipeline-building, or pushing candidates through too quickly. The goal is an efficient process, not the shortest one.
Ignoring canceled or unfilled requisitions. If you only measure filled positions, you miss the roles that were open for 90 days and then canceled. These represent real organizational cost and process failure that never shows up in your time to fill average.
Not accounting for seasonal variation. Q1 and Q3 typically have different hiring patterns than Q2 and Q4. Compare year-over-year by quarter rather than sequential quarters to avoid misleading trend lines.
Conflating time to fill with time to hire. They are different metrics with different start points and different diagnostic value. Reporting them interchangeably confuses the audience and muddies the analysis.
Related Metrics
Time to hire: Measures the candidate's journey from application to offer acceptance. Diagnoses funnel efficiency rather than end-to-end process speed.
Cost per hire: The total cost to fill a position, including advertising, recruiter time, agency fees, and technology. Time to fill directly influences cost per hire because longer timelines mean more spend.
Quality of hire: Evaluates the performance and retention of new hires. The counterweight to time to fill because speed without quality is counterproductive.
Offer acceptance rate: The percentage of offers that candidates accept. A low acceptance rate inflates time to fill because rejected offers send you back to the pipeline.
Requisition aging: Tracks how long open requisitions have been active, highlighting positions at risk of becoming chronic vacancies.
Source channel effectiveness: Measures which recruiting channels produce hires fastest and at what quality. Referrals consistently outperform other channels on time to fill.
Employee turnover rate: High turnover creates more requisitions, which strains recruiting capacity and can increase time to fill across the board.