Recruitment Funnel Yield Calculator
Work out recruitment funnel yield instantly with clear inputs, formula shown and shareable results.
About Recruitment Funnel Yield Calculator
Funnel yield tells you how many applications a hire requires, which is what drives sourcing effort and cost per hire. Stage-by-stage conversion locates the bottleneck: a low screening pass rate means poor targeting, a low interview-to-offer rate means a weak shortlist or an unclear brief.
Formulas
Application to hire rate
Rate % = Hires / Applications x 100
Applications per hire
Applications per hire = Applications / Hires
Worked example
With the default values below, Recruitment Funnel Yield Calculator returns Application to hire rate of 0.667%. Change any input above and every figure here is recalculated in your browser.
Inputs used
- Applications received
- 1,800
- Candidates passing screening
- 280
- Candidates interviewed
- 96
- Offers accepted
- 12
Results
- Application to hire rate
- 0.667%
- Applications needed per hire
- 150.0
- Screening pass rate
- 15.56%
- Interview to hire conversion
- 12.50%
Step by step
- 1Values used
- 2Application to hire rate
- 3Applications per hire
- 4Application to hire rate= 0.667
- 5Applications needed per hire= 150.0
- 6Screening pass rate= 15.56
- 7Interview to hire conversion= 12.50
Assumptions and limits
- The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
- Figures are rounded for display to 3 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.
How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.
Frequently Asked Questions
What conversion rates are normal?
Very role-dependent. Volume roles can hire from 1% of applications; specialist technical roles often need 150-250 applications per hire.
Which stage should I fix first?
The one with the largest absolute drop-off that you can influence. Improving a stage that already converts well moves the total very little.
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