Time to Hire
A recruiting metric that measures the number of days between when a candidate enters the hiring pipeline (applies or is sourced) and when they accept a job offer, reflecting how quickly a company moves a specific candidate through its hiring process.
- What Is Time to Hire?
- How to Calculate Time to Hire
- Time to Hire vs Time to Fill: Key Differences
- Time to Hire Benchmarks by Industry and Role
- How to Reduce Time to Hire Without Sacrificing Quality
- How to Track Time to Hire in Your ATS
- The Business Impact of Time to Hire
- Time to Hire Statistics [2026]
- Common Mistakes When Measuring Time to Hire
- Frequently Asked Questions About Time to Hire
What Is Time to Hire?
Key Takeaways
- ✓Time to hire measures the number of days from when a candidate applies (or is first sourced) to the day they accept the offer.
- ✓It's different from time to fill. Time to fill starts when the requisition opens. Time to hire starts when a specific candidate enters the pipeline.
- ✓The global average is about 23.8 days, though it varies widely by role, industry, and company size (Glassdoor, 2023).
- ✓A shorter time to hire usually correlates with better candidate experience and higher offer acceptance rates.
- ✓It's one of the most actionable recruiting metrics because it pinpoints exactly where candidates get stuck in the process.
Time to hire answers a simple question: once a good candidate shows up, how fast can you move? It starts the clock when a candidate submits an application or a recruiter first reaches out to them. It stops when that candidate signs the offer letter. That's it. Unlike time to fill, which captures the entire recruiting process from req approval to offer acceptance, time to hire focuses on the candidate's experience. A company could have a 60-day time to fill but a 12-day time to hire if the first 48 days were spent getting budget approval and writing the job description. Why does this matter? Because speed kills in recruiting, just not the way you'd think. Slow processes kill your chances of landing top talent. Robert Half found that the best candidates are gone within 10 days. Indeed reported that 57% of job seekers lose interest entirely if the process drags on. Every extra day between application and offer is a day the candidate might accept a competing offer, lose enthusiasm, or simply move on.
How to Calculate Time to Hire
The formula is straightforward, but the devil is in how you define the start point.
The basic formula
Time to Hire = Date the candidate accepts the offer minus Date the candidate entered the pipeline. For a single hire, that's one subtraction. For a team or company-wide metric, calculate it for each hire and then average. Average Time to Hire = Sum of all individual time-to-hire values divided by the number of hires in the period.
Defining the start point
This is where companies disagree. Some start the clock when the candidate applies. Others start when a recruiter first contacts a passive candidate. Some start at the first phone screen. The right answer depends on what you're trying to measure. If you want to evaluate recruiter efficiency from first contact onward, use the sourcing date. If you want to measure the process from the candidate's perspective, use the application date. Pick one definition and stick with it across the organization.
Worked example
A software engineer applies on March 1. The recruiter screens them on March 4. The hiring manager interviews on March 8. A panel interview happens on March 12. The offer goes out on March 14. The candidate accepts on March 16. Time to hire: March 16 minus March 1 = 15 days. If the requisition had been open since January 15, the time to fill would be 60 days, but the time to hire is only 15 because this candidate applied late in the process.
Time to Hire vs Time to Fill: Key Differences
These two metrics are often confused. They measure related but different things, and you need both.
| Feature | Time to Hire | Time to Fill |
|---|---|---|
| Starts when | Candidate applies or is sourced | Job requisition is approved |
| Ends when | Candidate accepts the offer | Candidate accepts the offer |
| Measures | Speed of moving a specific candidate through the process | Total duration of the hiring process from start to finish |
| Typical range | 15-30 days | 30-50+ days |
| Influenced by | Interview scheduling, feedback speed, decision-making | Req approval, sourcing, posting, plus everything in time to hire |
| Best for evaluating | Recruiter and hiring manager efficiency | Overall recruiting capacity and planning |
| Can be improved by | Faster interviews, fewer rounds, quicker decisions | Pre-approved reqs, talent pipelines, better sourcing |
Time to Hire Benchmarks by Industry and Role
Benchmarks provide context. A 20-day time to hire might be excellent for engineering but slow for retail.
| Industry / Role Type | Average Time to Hire (Days) | Key Factors |
|---|---|---|
| All industries (global) | 23.8 | Glassdoor Economic Research, 2023 average |
| Technology / Software | 24-35 | Technical assessments, coding challenges, competing offers |
| Healthcare | 26-49 | Credential verification, licensure checks, background screening |
| Financial services | 25-40 | Regulatory checks, compliance interviews, reference verification |
| Retail / Hospitality | 10-18 | High volume, simpler screening, urgent need |
| Government | 40-60+ | Bureaucratic approvals, security clearances, structured processes |
| Executive / C-suite | 60-90+ | Confidential search, board involvement, negotiation complexity |
| Entry-level / Intern | 8-15 | Simpler evaluation, larger candidate pools, faster decisions |
How to Reduce Time to Hire Without Sacrificing Quality
The goal isn't just speed. It's removing wasted time while keeping evaluation standards intact.
A faster interview process isn't the answer, a structured one is
Don't just cut interview rounds. Structure them. Define evaluation criteria before the first interview. Use scorecards so interviewers know exactly what they're assessing. Structured interviews are 2x better at predicting job performance than unstructured ones (Schmidt and Hunter, 1998), and they're faster because there's less deliberation afterward.
Eliminate scheduling bottlenecks
Scheduling is often the single biggest time sink. A candidate finishes a phone screen on Monday, but the panel can't meet until next Thursday. That's 10 days of dead time. Solutions: use automated scheduling tools (Calendly, GoodTime, ModernLoop), batch interviews on set days, and give interviewers non-negotiable SLAs for availability. Companies using automated scheduling report 5-7 days faster time to hire (iCIMS, 2024).
Set feedback deadlines
Require interviewers to submit their scorecards within 24 hours. If feedback takes a week, decision-making takes two weeks. Hold a brief debrief meeting within 48 hours of the final interview. Don't let candidates sit in limbo while interviewers procrastinate on their write-ups.
Pre-build talent pipelines
If you already have qualified, engaged candidates in your pipeline before the req opens, time to hire drops dramatically. LinkedIn found that companies with proactive pipelines fill roles 30-40% faster. Nurture relationships with silver-medal candidates from previous searches, attend industry events, and keep your employer brand visible.
Reduce decision layers
Every approval step adds days. If a hiring manager needs VP sign-off, who needs SVP sign-off, who needs the CEO to nod, you've added 2-3 weeks of waiting. Push hiring authority down. Let managers make the call for roles within their budget. Reserve escalation for senior or unusual positions.
Communicate proactively with candidates
Candidates who feel informed are more patient. Send a timeline after each stage. Let them know when to expect the next step. Silence is the number one reason candidates ghost, which restarts the entire process and inflates time to hire for the replacement candidate.
How to Track Time to Hire in Your ATS
Most modern applicant tracking systems calculate time to hire automatically, but the data is only useful if it's set up correctly.
Configure stage timestamps
Make sure your ATS records the date a candidate enters each stage: applied, phone screen, interview, offer, accepted. Without accurate timestamps, the metric is meaningless. Audit your ATS quarterly to confirm that stage transitions are being logged correctly and that recruiters aren't batch-updating stages retroactively.
Segment the data
A company-wide average time to hire is useful for executive dashboards but useless for operational improvement. Break it down by department, role level, recruiter, hiring manager, and source. If your engineering time to hire is 30 days but sales is 12, you know exactly where to focus. If one recruiter consistently outperforms others, study what they're doing differently.
Track stage-by-stage duration
Time to hire is a sum of smaller durations: time from application to screen, screen to interview, interview to offer, offer to acceptance. Tracking each segment reveals the bottleneck. Maybe your interviews are fast, but it takes 8 days to get the offer letter out the door. You won't know unless you measure each step.
The Business Impact of Time to Hire
Time to hire isn't just an HR metric. It affects revenue, productivity, team morale, and the company's reputation in the talent market.
Candidate quality and acceptance rates
The longer your process takes, the more top candidates drop out. A Glassdoor study found that every extra day in the process reduces the probability of offer acceptance by approximately 0.5%. Over 20 extra days, that's a 10% reduction in acceptance rate. And the candidates you lose first are the ones with the most options, which are typically your best candidates.
Revenue and productivity cost
Oxford Economics estimates that an unfilled role costs $500+ per day in lost productivity. For revenue-generating roles like sales, the cost is higher because you're also losing potential deals. A 10-day reduction in time to hire across 100 annual hires saves 1,000 vacancy days, which translates to $500,000+ in recovered productivity.
Employer brand
Candidates talk. On Glassdoor, Indeed, and in professional networks, the speed and professionalism of your hiring process become part of your reputation. A consistently slow process signals bureaucracy and indecision. That reputation makes future sourcing harder and more expensive.
Time to Hire Statistics [2026]
Key data points for benchmarking and building the business case for process improvement.
Common Mistakes When Measuring Time to Hire
Getting the metric wrong leads to bad decisions. Here's what to watch for.
- Using inconsistent start dates across recruiters. If one counts from application and another from phone screen, your data is unreliable. Standardize the definition organization-wide.
- Not segmenting by role type. Averaging a 10-day retail hire with a 90-day executive hire gives you a meaningless 50-day average. Always compare like with like.
- Optimizing only for speed. A 5-day time to hire means nothing if the resulting hires leave within 6 months. Pair time to hire with quality of hire and 90-day retention.
- Ignoring withdrawn candidates. If candidates withdraw before an offer, they don't appear in your time-to-hire calculation, but they represent process failures worth investigating.
- Not accounting for candidate-driven delays. If a candidate asks for a week to think about the offer, that's their time, not a process problem. Track candidate hold time separately if possible.
- Treating the metric as a recruiter-only responsibility. Hiring managers who delay feedback or reschedule interviews are often the biggest contributors to a slow time to hire.
Frequently Asked Questions
What is a good time to hire?
Is time to hire the same as time to fill?
Who is responsible for time to hire?
Does reducing time to hire hurt quality?
How often should we review time to hire?
What tools calculate time to hire automatically?
Written by Adithyan RK