CASE 7-1: Transforming Data into Recruiting Intelligence

Arguably, the bottom line of recruiting success is the number of successful new hires. Organizations know that it is important to measure the outcomes of recruitment, but, unfortunately, most focus on measures that show how efficient they are: time to fill an open job or cost per hire. These are helpful but by no means indicate the impact that hiring decisions have on a companys ability to realize its business goals. For example, its easy to say, Our time-to-fill is 42 days. Wouldnt it be better to say, We reduced our time-to-fill by 20 percent, which got our technology and engineering teams to finish their project a quarter earlier, resulting in $500,000 of savings, which contributed to $250,000 of revenue?

Experts agree that to measure the quality of hire effectively, its important to calculate metrics both pre-and post-hire. Pre-hire, recruitment-focused quality measures include such things as candidate quality (education, experience, training), new-hire attrition, and candidate assessment scores. Consider questions such as the following: Do we have enough qualified candidates in the pipeline? Is our interview process efficient? Are we closing deals with the candidates we want to hire? Measures of post-hire quality include outcomes such as time to become fully productive, rank among peers, and supervisory assessments of culture fit.

ATS enables firms to collect a wide range of data. The challenge is to distill them in ways that will convey business-critical information to decision-makers.

Q3.The team wants you to distinguish measures of efficiency from measures of business impact. What kinds of metrics will you include for each?