Recruitment · Updated October 2026
Interview-to-offer ratio shows how many of the candidates you interview end up receiving a job offer. It is a quality check on your screening and your interviewers: if you interview many people and offer to very few, something upstream, such as resume screening, is sending you the wrong profiles, or your interviewers disagree about what “good” means.
Interview-to-Offer Ratio = (Unique Candidates Receiving an Offer ÷ Unique Candidates Interviewed) × 100
Say you interview 48 people across six open roles and extend 9 offers. That is (9 ÷ 48) × 100 = 18.75%, about 19%. Some teams quote the inverse instead: 48 ÷ 9 = about 5.3 interviews per offer, written 5.3:1. Both say the same thing, so pick one form and keep it. Count each person once, even if they sat three rounds, and decide whether “interviewed” means anyone who had a first conversation or only people who reached the final round. The two give very different numbers.
It is one stage pair in the recruitment funnel, so it is a specific kind of yield ratio. It is also not offer acceptance rate, which measures what happens after the offer leaves your hands.
A low percentage (many interviews, few offers) usually points to one of these:
A very high percentage is not automatically good. It may mean screening is excellent, or it may mean the bar is soft and interviews are a formality. Compare it with later outcomes such as probation results and quality of hire. There is no universal target, and published benchmarks mix definitions, so benchmark by role family and level against your own history rather than a number from a vendor blog.
Choose one definition and apply it everywhere. Many teams track two versions: first-conversation-to-offer, and final-round-to-offer, because the second isolates interviewer calibration.
High-volume roles tolerate more interviews per offer, while specialised or senior searches may see only two or three finalists per opening. Always segment by role.
If stages are configured consistently, the applicant tracking system can. The usual problem is inconsistent stage names and candidates moved manually, which makes the count unreliable.
To see this ratio alongside every other stage, use the recruitment funnel calculator.