Metrics question

How would you measure the effectiveness of our employee referral program?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Tests metric-tree thinking applied to an internal HR-adjacent program: connecting a program's goal to funnel metrics and a real cost comparison.

Clarify the program's goal: is it hiring quality, hiring speed, cost reduction, or all three.
Build a funnel: referrals submitted, referrals interviewed, referrals hired, and referral retention at 6 or 12 months.
Add a quality metric: performance ratings or retention of referred hires versus non-referred hires.
Add a cost metric: cost per hire via referral versus recruiter-sourced or agency hires.
Add a guardrail: diversity of the referral pipeline, since referral programs can unintentionally narrow candidate diversity.

Measures both funnel efficiency (referral to hire conversion) and downstream quality (retention and performance of referred hires), not just volume of referrals submitted.
Directly compares cost per hire through referrals against other channels, since the program's business case rests on cost or speed savings.
Flags diversity of the referral pool as a guardrail, since referral programs often self-select toward employees' existing networks.
Uses a concrete illustrative benchmark, such as referred hires retaining at a higher rate than average, clearly marked as an assumption.

Measuring only the number of referrals submitted, which says nothing about quality or cost effectiveness.
Ignoring the diversity guardrail, which is a known risk with referral-heavy hiring.

How would you attribute a hire to the referral program if the candidate also applied through the careers page?
How would you know if the program is cannibalizing effort recruiters would have spent elsewhere?