Recruitment Metrics

Time to Hire

Quick Definition

Time to hire is the number of calendar days between when a candidate enters your hiring pipeline (typically the application date or recruiter screen) and when that candidate accepts a job offer — measuring the speed and efficiency of the hiring process from the candidate's perspective.

What Is Time to Hire?

Time to hire is distinct from time to fill. Time to fill measures from the date a requisition opens to the date an offer is accepted — capturing the full sourcing and hiring cycle. Time to hire measures from when a specific candidate enters the pipeline to when they accept — capturing the efficiency of the evaluation process from the candidate's vantage point. Both metrics matter, but time to hire is the more actionable operational metric because it directly measures the speed of evaluation and decision-making rather than sourcing delays.

The US average time to hire for software engineering roles runs approximately 35 to 45 days according to LinkedIn Talent Insights 2024 data. Finance and accounting roles average 28 to 38 days. Healthcare clinical roles average 40 to 60 days depending on credentialing requirements. The benchmark that matters more than industry averages is the hiring speed of your direct competitors for the same candidate profiles — top engineering candidates in competitive markets typically have 2.4 competing processes in flight simultaneously, and every week your process extends reduces your probability of securing an offer acceptance.

The biggest contributors to extended time to hire are scheduling delays between stages, slow debrief cycles, and approval bottlenecks in the offer stage. Research from Greenhouse's 2024 benchmark study found that multi-interviewer loop scheduling delays account for 40 to 60 percent of time to hire in engineering roles. Scheduling automation tools that handle panel availability aggregation and candidate self-booking compress this delay dramatically — InCruiter IncFeed customers report reducing scheduling-related time to hire by 8 to 12 days.

Offer acceptance rate is the most important downstream consequence of time to hire. Greenhouse data shows candidates who receive offers within 21 days of entering the pipeline accept at 72%, while candidates who receive offers after 35 days accept at only 48%. The 24-percentage-point difference, multiplied across an annual hiring volume of 100+ engineers, represents tens of additional hires from the same pipeline — without changing sourcing spend or recruiter headcount.

Why Time to Hire Matters

Every additional day in the hiring process is a day a qualified candidate spends receiving and considering competing offers. In competitive talent markets, time to hire is the single most controllable variable between a filled role and a protracted search.

Key Benefits

Shorter time to hire correlates directly with higher offer acceptance rates
Faster hiring reduces the revenue impact of open roles in revenue-generating positions
Compressed hiring cycles improve candidate experience, which feeds employer brand and referral rates
Tracking time to hire by stage identifies the specific bottlenecks generating the most delay
Benchmarking time to hire against competitors reveals your competitive positioning in the talent market

Common Use Cases

Engineering teams trying to compete with FAANG and well-funded startups that run sub-3-week hiring loops

Revenue-generating role hiring where every additional week in the search has quantifiable revenue impact

High-volume hiring programs where per-stage delays compound across hundreds of requisitions simultaneously

Frequently Asked Questions

What is time to hire?

Time to hire is the number of calendar days between when a candidate enters your hiring pipeline and when they accept a job offer. It measures the speed of the evaluation and decision process from the candidate's perspective, distinct from time to fill which measures from job opening to offer acceptance.

What is the average time to hire in the US?

US average time to hire varies by role type: software engineering averages 35 to 45 days, finance and accounting 28 to 38 days, healthcare clinical roles 40 to 60 days. These averages have decreased since 2022 as AI screening and scheduling automation became more widespread, but competitive technical roles still see significant variation between organizations.

How do you calculate time to hire?

Time to hire = Date of offer acceptance minus Date candidate entered pipeline (typically the application date or first recruiter contact date). Track it per hire, then aggregate the median (not average, to avoid outlier distortion) across all hires in a defined period. Segment by role type and seniority level for actionable insights.

What are the fastest ways to reduce time to hire?

The five highest-impact changes: (1) Replace phone screen scheduling with AI async screening to eliminate the 5 to 7 day scheduling lag at the top of funnel. (2) Implement scheduling automation for panel interviews to eliminate the 8 to 12 day multi-interviewer coordination delay. (3) Mandate same-day or next-morning debrief decisions. (4) Use outsourced technical interviewers via IaaS to eliminate engineering calendar bottlenecks. (5) Pre-approve compensation bands so offer approval doesn't require a 5-day committee cycle.

How does time to hire affect offer acceptance rate?

Significantly. Greenhouse data from 15,000 engineering hires shows offer acceptance rates of 72% when offers arrive within 21 days of pipeline entry, dropping to 48% when offers arrive after 35 days. The 24-percentage-point gap means that for every 100 offers extended at 35+ days, you're losing 24 acceptances you would have gotten at a 21-day pace — without changing compensation, role quality, or team.

InCruiter Products Related to Time to Hire

InCruiter Interview Scheduling (IncFeed)InCruiter AI Screening (IncBot)