Recruiting operations workspace
Measure how many decided offers become hires, keep outstanding offers out of the real-time denominator, and reverse-plan how many offers your current close rate needs for the next hiring target.
If accepted + declined + withdrawn exceeds extended, the calculation safely caps outcomes to the available offer cohort. “Cost per finalist” is your editable internal estimate, not an industry benchmark.
Offer acceptance rate
80.0%
20 accepted ÷ 25 decided offers
For a live recruiting period, Jobiba calculates accepted ÷ decided offers. Outstanding offers are shown separately so an open decision does not automatically look like a rejection. For closed historical cohorts, reconcile every extended offer to accepted, declined, withdrawn or another documented outcome.
Use this result as one stage of the hiring workflow, not as an isolated recruiter KPI.
Offer acceptance rate = accepted offers ÷ decided offers × 100. Jobiba treats accepted + declined as decided by default. Employer-withdrawn and still-outstanding offers remain visible but outside that denominator. The hiring-target forecast divides target hires by your observed acceptance rate and rounds up to a whole offer.
For the live planning view, Jobiba uses accepted offers divided by decided offers, multiplied by 100. Decided offers are accepted plus declined by default.
No. An offer that is still open has not reached an outcome. Jobiba keeps outstanding offers visible but outside the decided-offer denominator.
Track them separately first. A withdrawn offer is a different recruiting outcome from a candidate decline, and mixing both can hide the reason the funnel changed.
It can reverse-plan an offer count from your target hires and observed acceptance rate. That is a planning scenario, not a promise that the same rate will continue.
Use your own cohort definitions consistently. External recruiting benchmarks vary by role, geography, seniority and whether outstanding or withdrawn offers are included; Jobiba therefore does not label your result “good” or “bad” from a universal threshold.