Hiring Speed Calculator
Calculate your average time to hire and cost per hire. Compare against industry benchmarks to identify bottlenecks in your recruitment process.
Last updated: March 2026
A hiring speed benchmark compares your time to hire against industry averages and calculates the cost of slow hiring. The tech industry average is 42 days from posting to accepted offer. Every vacant day costs approximately one day of lost revenue contribution.
Days Over Industry Average
3 days
Lost Productivity
$6,164
Cost Per Vacant Day
$411/day
Your Avg Days to Hire
45 days
How You Compare
Your average time to hire is in the bottom 52% of tech industry.
Industry typical: 30-60 days
Source: LinkedIn Global Talent Trends 2025
💡 What This Means
- ⚠️ 3 days over the 42-day industry average. Streamlining your interview process could save time and reduce candidate drop-off.
- 💡 Cost per vacant day: $411. The best companies hire within 30 days — invest in employer branding, streamlined interviews, and fast decision-making.
Sign up to save your results
Create a free account to save calculations, track trends, and download PDF reports.
Embed this calculator on your website
Add the Hiring Speed Calculator to your site. Capture leads, customise branding, and track engagement.
What is Cost of Vacancy?
Cost of vacancy quantifies the revenue and productivity lost for every day a position remains unfilled. Slow hiring doesn't just delay getting help — it actively costs the business money through lost output, overworked teams, and missed opportunities. Plan your hiring timeline with the Hiring Plan Calculator and budget recruitment with the Recruitment Cost Calculator.
The Formula
Daily Vacancy Cost = Annual Revenue per Employee ÷ 365 Total Vacancy Cost = Daily Cost × Days Position is Vacant
Worked Example
A company generates £200,000 revenue per employee. A sales position has been vacant for 45 days.
- Daily vacancy cost = £200,000 ÷ 365 = £548/day
- Total vacancy cost = £548 × 45 = £24,658
- If filled 15 days earlier = £548 × 15 = £8,219 saved
📌 The 45-day vacancy costs £24,658 in lost revenue potential. Investing £3,000 in a recruitment agency to fill the role 15 days faster saves £8,219 — a 2.7x return.
Why This Matters
Speed vs cost trade-off
Hiring agencies charge £5,000-15,000 but fill roles 20-30 days faster. When each vacant day costs £548, paying £8,000 for a role filled 20 days earlier saves £10,960 minus the £8,000 fee = £2,960 net saving. Speed pays for itself.
Team impact
Vacancies don't just lose one person's output — they overload remaining team members, causing burnout, errors, and further resignations. A 60-day vacancy can trigger a cascading turnover event that costs 3-5x the original position.
Common Mistakes
❌ Waiting for the perfect candidate
A "good enough" candidate hired in 30 days delivers more value than a "perfect" candidate hired in 90 days. The 60-day delay costs £32,877 in lost output. Hire for 80% fit and train the remaining 20%.
❌ Not maintaining a talent pipeline
Starting recruitment from zero when someone leaves means 30-60 days of vacancy. Maintaining relationships with potential candidates through networking and employer branding enables 2-week hires when positions open.
Industry Benchmarks
| Category | Good | Average | Poor |
|---|---|---|---|
| Days to fill | Below 30 | 30-60 | Above 75 |
| Agency vs direct speed | Agency 20%+ faster | Similar speed | Agency slower |
Related Tools
Recruitment Cost Calculator
Calculate the true cost of hiring including job ads, recruiter fees, interview time, and onboarding. Compare cost per hire against industry benchmarks.
Use free →HR & OperationsEmployee Turnover Cost Calculator
Calculate the true cost of employee turnover including recruitment, onboarding, lost productivity, and knowledge drain per departure.
Use free →Frequently Asked Questions
Your website is leaving leads on the table
Companies using interactive content see 3-5× more conversions than static forms. Start building yours in under 5 minutes.
No code required · 100+ templates · Free forever · Free forever