Quality of Hire

Quality of hire is a composite metric that measures the value new employees bring to an organization, encompassing performance ratings, time to full productivity, cultural contribution, and retention. Despite being widely cited as the most important recruiting metric, quality of hire remains challenging to measure because it depends on post-hire data that takes months or years to accumulate.

Common approaches to measuring quality of hire include: manager satisfaction surveys at 90 and 180 days, performance review scores at the first annual review, time to first meaningful contribution, retention at one and two years, and peer feedback. The most sophisticated organizations create composite scores weighted by role-specific success factors.

AI recruiting platforms that track post-match outcomes can build feedback loops that continuously improve matching quality. By correlating candidate attributes and match signals with actual job performance, these platforms develop increasingly accurate predictions of which candidates will succeed in which roles — effectively turning quality of hire from a lagging indicator into a predictive capability.