Most hiring teams track time-to-fill when they should be tracking time-to-hire. The difference is not academic. These metrics measure distinct aspects of your recruitment process, and choosing the wrong one can lead to flawed decisions about your hiring strategy. Time-to-hire reveals how quickly your team attracts and selects a candidate, while time-to-fill includes the post-offer gap (e.g., candidate negotiations, visa processing, or onboarding delays). For HR leaders aiming to optimize both efficiency and quality of hire, understanding this distinction is critical.
Time to Hire vs Time to Fill: Precise Definitions
Time to hire measures the duration from job posting publication to a candidate accepting a job offer. This metric focuses on your ability to attract qualified applicants, screen effectively, and make timely offers. Time to fill, by contrast, spans from job posting to the candidate’s first day of employment. It accounts for post-offer activities like right-to-work verification, background checks, and administrative delays.
Key Insight
A long time-to-fill but short time-to-hire indicates bottlenecks in post-offer processes, such as HR-10 (UK) or Form I-9 (US) compliance delays. Conversely, a short time-to-hire with a long time-to-fill may signal poor candidate selection or unrealistic job expectations.
Why the Distinction Matters for Your Hiring Process
Confusing these metrics can obscure critical inefficiencies. For example, if your team averages 30 days to fill roles but only 15 days to hire, half your hiring time is spent waiting for candidates to start. This could stem from poor offer acceptance rates, visa delays (common in the UK), or misaligned job descriptions.
Tracking time-to-hire allows you to focus on the controllable factors: job ad quality, interview scheduling speed, and offer negotiation. Time-to-fill, while influenced by external factors, helps you assess overall hiring cycle health. In the US, the SHRM 2023 HR Compensation and Benefits Survey found the average time-to-hire is 23 days, while time-to-fill averages 36 days. The UK’s Chartered Institute of Personnel and Development (CIPD) reports similar gaps—19 days for time-to-hire versus 32 days for time-to-fill. These gaps highlight systemic bottlenecks worth addressing.
Industry Benchmarks for Both Metrics
Benchmarking helps contextualize your performance. In the US, the Bureau of Labor Statistics notes that tech roles typically have a 20–40% faster time-to-hire than healthcare or education roles. UK data from the UK Recruitment and Employment Confederation shows permanent roles take 32 days to fill on average, while contract roles take 18 days.
Time to Hire Benchmarks
Average time-to-hire by sector in the US: 23 days (tech), 28 days (retail), 35 days (healthcare). UK equivalents: 19 days (professional services), 25 days (manufacturing).
Time to Fill Benchmarks
Time-to-fill in the US averages 36 days, with construction and hospitality sectors exceeding 45 days. In the UK, public sector roles take 38 days to fill, while IT roles average 28 days.
Notably, remote roles consistently outperform in-person roles by 15–20% in both metrics, according to Jobvite’s 2024 Global Recruiting Trends Report.
How to Calculate Each Metric Accurately
Accurate calculation requires precise date tracking. For time-to-hire:
- Record the job post date (not when the role was approved).
- Track the date the candidate accepts the offer.
- Subtract the post date from the acceptance date.
For time-to-fill:
- Use the same job post date.
- Track the candidate’s first day of employment.
- Subtract the post date from the start date.
Important Note
In the UK, include Right to Work checks in your time-to-fill calculation. In the US, include Form I-9 processing. Delays here often skew metrics.
Treegarden’s ATS automates these calculations by timestamping each stage—posting, offer, and start dates—ensuring compliance with EEOC (US) and Equality Act 2010 (UK) standards. Competitors like Lever and Workable charge extra for this automation, while Treegarden embeds it at no additional cost.
Which Metric to Optimise for Your Situation
Your choice depends on your strategic goals. Focus on time-to-hire if:
- You need to improve source-of-hire quality.
- You’re competing for top talent in fast-moving sectors (e.g., tech).
- Your offer acceptance rate is below 45% (average for US firms).
Optimize time-to-fill if:
- You have a high offer acceptance rate but long pre-start delays.
- You’re in regulated industries (e.g., finance, healthcare) requiring extensive compliance checks.
- Your onboarding team is a bottleneck.
For example, a UK-based fintech firm using Treegarden reduced its time-to-hire by 28% through AI-powered resume screening, while addressing post-offer delays (time-to-fill) via automated Right to Work checks integrated into its workflows.
Tracking Both Metrics Automatically in Your ATS
Manual tracking is error-prone and time-consuming. Treegarden’s platform automates both metrics with real-time dashboards, flagging anomalies like sudden increases in time-to-hire due to poor job ad performance or extended time-to-fill from visa processing delays.
Competitors like BambooHR and iCIMS require custom workflows for this dual-tracking, but Treegarden embeds it natively. Its Kanban-style candidate pipelines let you visualize bottlenecks at each stage, while bulk CV parsing accelerates screening. Treegarden’s pricing model—no $50K+ contracts—makes this advanced functionality affordable for SMBs and mid-market firms.
In the US, Treegarden ensures EEOC compliance by anonymizing data during metric analysis. In the UK, its GDPR-compliant architecture safeguards candidate data while tracking recruitment KPIs. This level of automation saves HR teams up to 50 hours annually in reporting time, per internal Treegarden client surveys.
Cost of Vacancy: Calculating the Financial Impact
Most organisations track time-to-hire and time-to-fill as operational metrics, but fewer translate them into financial terms. Every day a role sits vacant carries a real cost — lost productivity, increased workload on existing staff, deferred projects, and sometimes lost revenue. Understanding cost of vacancy (COV) transforms abstract hiring timelines into concrete business cases for investing in faster, better recruitment infrastructure.
The standard formula for COV starts with daily cost: take the role's annual fully-loaded salary (salary plus employer NIC or payroll taxes, benefits, and overhead), divide by 260 working days, and multiply by the number of days the role is open. For a mid-level software engineer at £80,000 fully-loaded, a 40-day vacancy costs roughly £12,300 — before accounting for the value of lost output beyond the base salary figure.
A more complete COV model: For revenue-generating or highly leveraged roles, multiply daily vacancy cost by a productivity multiplier. Research suggests knowledge workers generate 1.5–3× their salary in value; for these roles, COV can reach £400–£600 per day on a senior position.
The practical implication is that spending £2,000 on a premium job board listing or an additional recruiter day to close a role five days faster is nearly always worth it for anything above an entry-level position. Similarly, reducing time-to-fill by automating interview scheduling or initial screening can pay for an ATS subscription many times over in a single quarter.
When presenting COV data to leadership, frame it around the specific roles that matter most. Unfilled sales roles delay pipeline coverage. Unfilled engineering roles delay product releases. Unfilled customer support roles increase wait times and churn. Attaching financial figures to each makes the case for recruitment investment far more persuasive than citing abstract averages.
Tracking COV requires knowing both your vacancy duration (time-to-fill) and your fully-loaded compensation data. Modern ATS platforms like Treegarden surface vacancy duration automatically per role, letting HR teams calculate COV without manual spreadsheet work. Setting COV alerts — for example, flagging any role open more than 30 days — creates automatic prompts for escalation before costs become severe.
Pipeline Velocity: Moving Candidates Faster Through Stages
Pipeline velocity is the per-stage companion metric to time-to-hire. Rather than measuring end-to-end duration, it breaks the hiring funnel into discrete stages — sourcing, screening, first interview, second interview, offer, acceptance — and measures how long candidates spend at each. Pinpointing slow stages reveals where the process actually breaks down, rather than treating all delays as interchangeable.
In most organisations, two or three stages account for the majority of total hiring time. The most common bottlenecks are:
Screening delay
CVs sit unreviewed for 3–7 days after application. Automated screening and ranked shortlists cut this to same-day or next-day review.
Interview scheduling
Email back-and-forth to find a mutually available slot adds 4–6 days on average. Calendar integration with self-booking eliminates most of this lag.
Offer approval
Internal sign-off chains — particularly for roles requiring salary band exceptions — can add 5–10 days post-decision. Pre-approved salary bands and delegated authority levels speed this up substantially.
Measuring velocity requires date-stamping every stage transition. Without that data, hiring managers often underestimate where time is lost and default to blaming candidate availability. Stage-level data almost always reveals that internal process delays — not candidate schedules — account for the bulk of excess time.
When you know which stages are slowest, you can run targeted experiments: send automated scheduling links immediately after screen approval, batch interview panels on designated days, or give hiring managers a 48-hour SLA for feedback submission. Each intervention has a measurable before/after effect on velocity, making it straightforward to demonstrate ROI to leadership.
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Frequently Asked Questions
Can I improve both time-to-hire and time-to-fill simultaneously?
Yes, but prioritize based on root causes. Streamline job ad copy (impacting time-to-hire) and optimize onboarding workflows (impacting time-to-fill) for dual gains. Treegarden’s analytics help identify these areas.
What’s a good time-to-hire benchmark?
The US average is 23 days; UK averages 19 days. However, benchmarks vary by industry. Tech roles may take 15–20 days, while healthcare roles can exceed 35 days.
How does AI screening affect these metrics?
AI reduces time-to-hire by 30% on average by prioritizing qualified candidates. Treegarden’s AI-powered screening automates resume parsing and skills matching, accelerating early-stage hiring.
Should I track these metrics for all roles?
Yes, but segment analysis by role type and seniority. Entry-level roles may skew metrics due to high volume, while executive hires often have longer time-to-fill due to complex negotiations.
In conclusion, understanding the difference between time-to-hire and time-to-fill is essential for building a data-driven hiring strategy. While competitors like Greenhouse and Lever offer similar functionality, Treegarden provides these capabilities at a fraction of the cost, with no long-term contracts. If your team is struggling to balance speed and quality in hiring, start by auditing your metrics—and consider automating the process with Treegarden’s all-in-one platform.