What is the offer acceptance rate formula?
Jobiba uses accepted offers divided by decided offers, multiplied by 100. Decided offers are accepted plus declined in this live cohort view.
Offer-to-join operations
Offer Acceptance & Offer-to-Join Calculator
Measure the close rate, actual joining delivery and plan gap. Then classify only the accepted-not-joined reasons your team actually captured, leaving unknown causes visible instead of inventing an explanation.
1 · Offer-to-join cohort
2 · Plan vs actual
3 · Accepted-not-joined reason evidence
Enter only reasons actually captured from this cohort. Unknown stays unknown; Jobiba does not infer why a candidate failed to join.
Reasons classified
3 / 3
Unclassified
0
Largest observed reason
Notice / joining timeline (1)
Reason-count check
Within cohort
4 · Recovery experiment planner
Use reason evidence above to design a small intervention. Expected recoveries are your scenario, not Jobiba's prediction.
Modeled joined rate
90.0%
Finalist value represented
₹15,000
Net represented value
₹3,000
Break-even recoveries
0.80
After the experiment, replace the scenario with observed joins and compare the same cohort/window. Do not attribute joins to the intervention without comparable evidence.
Offer acceptance rate
80.0%
Accepted → joined85.0%
Offer → joined56.7%
Accepted, not joined3
Outstanding decisions4
Offers for 10 joiners18
Decline-stage spend₹75,000
Accepted-not-joined spend₹45,000
Delivery vs plan
Offer variance0
Acceptance variance-2
Join variance-2
Actual vs plan join-rate-6.7 pts
Join shortfall exposure₹30,000
Recovery scenario
Recoveries capped to cohort1
Scenario ROI25%
Net represented value₹3,000
Planning lens only; it does not predict candidate behavior.
Recovery target
Joiners needed at target rate18
Additional joins to recover1
Finalist spend represented₹15,000
Reason counts describe observed evidence only. They do not prove causality or predict that an intervention will recover joins.
Why track accepted-to-joined separately?
Acceptance is not headcount delivery. A candidate may accept and still not start, so Jobiba keeps actual joins and accepted-not-joined outcomes visible.
How should accepted-not-joined reasons be recorded?
Enter only reasons actually captured for the same cohort. Keep uncaptured outcomes unclassified rather than guessing whether compensation, notice period, counter-offers or role fit caused the loss.
Does a reason count prove causality?
No. It describes recorded evidence. Use candidate feedback and comparable cohorts before attributing an intervention to improved joining.
Continue into hiring operations
Use observed reasons to investigate the right bottleneck, not to score candidates.