Expected hires
Great for recruiting pages and HR ops planning.
Example scenario
A Series B software recruiter forecasts one thousand two hundred applicants against an inbound engineering req after Indeed plus employee referral merges dedupe duplicate profiles in Greenhouse. Eighteen percent advance to recruiter screens or hiring-manager interviews while twenty-two percent of interviewed candidates receive written offers after onsite loops—offer rate intentionally conservative after calibration drops take-home failures. Seventy-six percent offer acceptance reflects competitive bay-area compensation bands net of declined competing startups. Chaining those conversion assumptions implies roughly two hundred sixteen interviewed prospects, about forty-seven point five offers, and about thirty-six point one two expected hires—capacity planners compare that yield to quarterly headcount goals before raising sourcing budget.
Expected hires
Applicants x interview% x offer% x acceptance%
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How to forecast expected hires from funnel yields
- Input applicants from ATS counts for the requisition cohort—exclude withdrawn-before-review spam when your interview rate references human-reviewed pipelines.
- Slide interview rate (%) using candidates who completed at least one hiring-manager evaluation divided by applicants in the same posting window.
- Slide offer rate from interviews (%) using extended offers divided by interviewed population—align onsite versus virtual loop definitions across regions.
- Slide offer acceptance rate (%) using signed starts divided by offers extended—read expected hires against headcount plan and iterate sourcing when yield misses runway.
Recruiting funnel conversion planning bands (role-dependent)
- Applicant-to-interview funnel tightness
- High-volume reqs often screen single-digit to low-teens percentages into structured interviews while niche leadership searches convert fewer applicants but higher intent
- Interview-to-offer ratios
- Structured panels frequently land teens-to-twenties percent offer rates depending on bar and loop length—inflate denominator when include exploratory informational chats
- Offer acceptance in competitive labor markets
- Hot-market tech acceptance percentages vary widely—refresh trailing ninety-day signed versus extended offers rather than HR handbook averages
Best use cases
- Forecasting and scenario planning
- Client education and pre-qualification
- Budget and performance decision support
Frequently asked questions
Should internal transfers sit inside applicants or bypass the funnel?
Exclude them when modeling external req yield—mixing transfers inflates acceptance and shrinks interview denominators unpredictably unless transfers consume the same reqs.
Why does multiplying four percentages underestimate hires when pipelines run in parallel?
This calculator assumes one sequential cohort math path—multiple open reqs, evergreen pipelines, and overlapping stages require additive modeling outside a single multiplier chain.
Do agency-sourced candidates distort interview rate?
Often yes—agency submits usually convert interviews at higher clip. Segment agency versus organic applicants or rebuild blended rates from blended historical data.
Should offer acceptance include declined verbal offers never documented?
Finance-grade forecasts tie to ATS offer-extended timestamps—verbal-only commits bias acceptance upward unless recruiters log declines consistently.
Glossary
Scenario modeling
Testing multiple assumptions to estimate possible outcomes before execution.
Commercial intent
User behavior indicating readiness to buy, subscribe, or request a quote.
Related calculators
Category: Talent acquisition & recruiting operationsTopics: Hiring funnel yield, Recruiting conversion modeling, Headcount forecasting
Last reviewed: 2026-05-07
Reviewed by: Calclet Growth Team