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How long does it really take to hire?

By Dev Rishi Khare, founder of Curriculo (ex-Amazon ML engineer) · Last updated May 2026

The US average is 44 days, and you lose about 5% of candidates for every extra day after day 10. Move the sliders to see your real time-to-hire by stage, which stage is the bottleneck, and how AI screening compresses it.

~30%
Lost in a week after day 10
5x faster
AI screening vs manual

What this calculator shows you

  • Your real time-to-hire, added up stage by stage instead of one fuzzy number.
  • Which stage is your bottleneck, so you know where to fix first.
  • How many candidates you lose to delay, and what AI screening would save you.

Your funnel

Live
130
360
121
790
030
vs SHRM 44-day benchmark +1 day slower
Bottleneck stage Interview loop
Candidates lost to delay ~73%
Time to hire 45 days
You'd save with Curriculo ~22 days / hire
Start free

AI screening compresses post-to-first-interview from your input down to 1 day. Runs in your browser. We never log your inputs.

How the math actually works

Three things most teams miss when measuring time-to-hire. The calculator above runs all three in real time as you move the sliders.

1. Funnel stages

Time-to-hire is not one number — it's five stages stacked. Most teams obsess over the interview loop and ignore the 7-10 days lost between posting and the first phone screen.

stage1 + stage2 + ... + stage5

2. Compounding delays

Candidates drop ~5% per day after day 10. By day 30 you've lost ~73% of the people who applied with interest. Speed is one of the few hiring edges a small team has.

lost = 1 - 0.95^(days - 10)

3. Industry benchmarks

SHRM 2024 average is 44 days across all roles. Engineering and finance run 49-60. Healthcare and government stretch past 70. Tech startups should target 21-30 days — that's the speed lane.

total − 44 = vs benchmark

Manual hiring vs Curriculo

The 22-day cut isn't marketing — it's what happens when AI replaces the slowest stage of the funnel: post-to-first-interview drops from 7-10 days to under one.

Manual hiring

Today
  • 7-10 days from job post to first interview while you read 200 resumes
  • 14-21 day interview loop — back-and-forth on scheduling alone is 3-5 days
  • 5-day offer-acceptance window because strong candidates have other offers in flight
  • Lose ~5% of candidates per day after day 10
  • Brand-new candidates show up while you're still chasing old ones
Realistic time-to-hire: 44 days (SHRM US avg, all industries)

With Curriculo

Free Starter
  • AI scores every resume in seconds — first interviews scheduled within 24 hours
  • Top 50 ranked candidates per job — you stop reading the bottom 80%
  • Gmail-style inbox auto-sorted by Impact Score, scheduling links built in
  • Drop-off cut in half because best candidates hear back same week
  • 15-minute setup — no implementation manager required
Realistic time-to-hire: ~22 days for most early-stage tech roles

Questions founders ask

The 2024 SHRM benchmark for US time-to-hire is 44 days across all industries. Tech roles average 49 days, engineering leadership runs 60+ days. A "good" time-to-hire for an early-stage startup is under 30 days. Anything past 45 days usually means you're losing strong candidates to faster competitors. The biggest lever is the post-to-first-interview stage, which manual screening stretches to 7-10 days but AI screening cuts to under 24 hours.
Time-to-hire = days from a candidate applying to accepting the offer (some teams measure to start date instead). It's the sum of five stages: 1) Job posting to first interview, 2) Full interview loop, 3) Offer extended to acceptance, 4) Acceptance to start, 5) Reschedule and back-and-forth delays. Add them up across all candidates who got an offer in the period, then divide by the number of hires. Don't confuse it with time-to-fill, which measures from job opening to hire.
SHRM 2024 benchmarks: All industries average 44 days. Engineering and finance roles run 49-60 days. Sales and customer success average 35-40 days. Healthcare and government can stretch to 70+ days. Tech startups under Series B should target 21-30 days. Speed is one of the few hiring edges a small team has against bigger competitors with stronger brands.
AI screening compresses the slowest stage of the funnel: post-to-first-interview. Manual screening forces a recruiter to read 200 resumes before scheduling anyone, which takes 5-10 days. AI screening scores every resume in seconds and surfaces the top 20-50 candidates with written reasoning, so first interviews can happen within 24 hours of a candidate applying. That single change typically cuts total time-to-hire by 35-50%, from 44 days to 22-28 days.
Time-to-hire measures the candidate's journey: from when they applied to when they accepted. Time-to-fill measures the business's journey: from when the role opened to when it was filled. Time-to-fill is always longer because it includes the days the job was posted before the eventual hire applied. Time-to-hire is the metric you can directly influence with better screening and faster scheduling; time-to-fill is influenced by sourcing, employer brand, and how compelling the job post is.

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