Figures and success rates in recruitment: stability or false sense of security?

In recruitment, there is increasing talk about numbers. Time-to-hire, cost-per-hire, conversion rates, and placement success rates are used to compare processes and assess performance. This is understandable, as figures provide a solid foundation in a field that largely revolves around people and intuition. However, this development also raises questions. After all, how objective are these figures actually?

Proponents of data-driven recruitment argue that measurement is necessary to improve. Without numbers, it is difficult to gain insight into what works and what doesn't. How long does a vacancy remain open? How many candidates drop out during the process? And which channels yield the best matches? This type of data can help to design processes more efficiently and make informed choices. In a tight labor market, where both speed and quality are important, that seems like a logical starting point.

At the same time, criticism is growing regarding relying blindly on success rates. After all, what does 'success' actually mean within recruitment? Is a placement successful if someone starts, or only when they are still performing well after a year? And does a quick placement carry more weight than a sustainable match? The answer to these questions varies by organization, by position, and sometimes even by hiring manager. As a result, figures become less objective than they appear at first glance.

Context also plays a major role. A success rate of 90 percent sounds impressive, but says little without knowing in which market, sector, or job group it was achieved. A specialist technical role in a tight market simply cannot be compared to a generic position with ample supply. Yet these figures are often placed side by side, as if they were universally applicable.

Furthermore, recruitment is not a linear process. The quality of a match is influenced by factors that are difficult to capture in numbers, such as team dynamics, culture, leadership, and personal development. A candidate may fit perfectly on paper and still drop out, or conversely, develop into a key player even though this was not immediately apparent beforehand. Success here cannot always be measured directly, and certainly not within fixed KPIs.

Does this mean that numbers have no value? Absolutely not. Data can help identify patterns and facilitate conversations about improvement. But the problem arises when numbers are viewed as absolute truth rather than as a tool. Recruitment remains a human endeavor, and people cannot be fully captured in dashboards and percentages.

The conclusion, therefore, is that success rates in recruitment are by definition subjective. They are determined by definitions, context, and interpretation. Those who use figures would do well to combine them with qualitative insights and experience. Only then does a realistic picture emerge of what 'success' truly means, and more often than not, this differs by organization.