Definition
Time to hire is the number of days between a candidate entering the hiring pipeline, usually at application or first contact, and accepting a job offer. It measures how quickly a recruiting process converts candidates, and companies define the start and end points differently, so definitions must be consistent.
Also known as: time-to-hire, time to offer acceptance
How it works
Recruiting teams calculate time to hire by subtracting the date a candidate was first identified, such as application or sourcing contact, from the date the candidate accepts an offer. They then average or take the median across hires, often segmented by role, department, location, or recruiter. Median is usually more reliable because a few slow searches can skew an average.
Applicant tracking systems record stage timestamps, which makes the calculation automatic and shows where candidates wait: screening, interview scheduling, hiring manager feedback, or approvals. Teams use the result to find bottlenecks and compare against targets. It should be read alongside quality-of-hire and offer-acceptance measures, since a faster process is not better if hires leave early.
Example
A software company finds that engineering hires take a median of 38 days from application to acceptance. Stage data shows most of the delay sits between final interview and offer approval, so it adds a 48-hour approval target.
How it differs from similar terms
Time to Hire vs Employee Onboarding. Time to hire ends at offer acceptance. Onboarding begins after acceptance and covers the steps that make a new hire productive.
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Facts as of Oct 21, 2026 · LeadChange Research Team
What it checks
- Workflow and stage configuration
- Job distribution and sourcing
- Candidate experience and mobile apply
- Collaboration and scheduling
- Records, retention and audit trail
- Adverse impact and EEO reporting
- AI and automated screening controls
- Integrations and data portability
Sample question
Workflow and stage configuration
Ask to configure two pipelines, one for hourly roles and one for professional roles, and show approval steps for requisitions.
Frequently asked questions
How is time to hire different from time to fill?
Time to hire usually starts when a specific candidate enters the pipeline. Time to fill usually starts when the job requisition is opened or approved. Time to fill is therefore longer and reflects the whole process, including requisition delays. Define both start points in writing so reports stay comparable.
What slows down time to hire most often?
Common causes are slow hiring manager feedback, interview scheduling gaps, multi-step approvals, and unclear job requirements. Stage-level timestamps in an applicant tracking system show which of these affects a given role, so teams can fix the right step. Targeting the slowest stage first is often more effective than rushing every stage.
How do you calculate time to hire?
For each hire, count the days from the date the candidate entered your pipeline, by applying or by first sourcing contact, to the date they accepted the offer. Then take the median across hires for the period, split by role or team. Write the start event down so every recruiter measures it the same way.
What is a good time to hire?
There is no single benchmark that fits every role: an hourly hire and a senior engineer move at very different speeds. The useful comparison is your own median for the same role over time, broken down by stage. A shorter time is only better if offer acceptance and early retention hold up.
How can you reduce time to hire?
Fix the slowest stage first. Most delays sit in waiting, not in interviews: feedback that arrives days late, calendars that cannot be matched, offers waiting for approval. Set response targets for hiring managers, let candidates book their own interview slots, and pre-approve salary ranges so the offer can go out the same day.
What is the difference between time to hire and cost per hire?
Time to hire measures speed: days from a candidate entering the pipeline to accepting the offer. Cost per hire measures spend: what recruiting cost in a period, such as ads, agency fees, tools and recruiter time, divided by the number of hires. Teams track both because cutting one often raises the other.
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