Using Statistical Process Control to Improve Operations & Recruitment Strategies
It is often the case that we talk about operations and recruitment tactics, procedures, and how effective they are. But how many times do we discuss statistical process control (SPC) and its influence on our hiring practices? Statistical Process Control (SPC) is a quality management technique utilizing statistical methods to monitor and control a process. It improves the yield of products meeting specifications while at the same time reducing waste such as scrap or rework, thus ensuring efficient manufacturing processes. SPC can be applied in any process where it is possible to quantitatively measure the quality of output, referred to as ‘conforming products'—those that meet established standards. This includes not only manufacturing but also service industries like recruitment process outsourcing and contingent labor staffing. In this context, this “conforming product” could be when a competent applicant who fulfills all the position's requirements has been placed. So what role does SPC play in this?
Variability Reduction: SPC can be used to identify and minimize variability in operations and recruitment processes, resulting in more predictable results. In turn, this would mean a more dependable pool of potential staff or a smooth and scalable process.
Process Improvement: By tracking key indicators such as time-to-fill or quality of hire, SPC can unearth potential areas for process improvement that will fine-tune our strategies towards better outcomes.
Data-Driven Decisions: SPC fosters data-driven decision-making that may improve objectivity and efficiency in selection processes. This is possible if we incorporate SPC into our operations and recruitment strategies, since it can have a significant impact on efficiency, effectiveness, and overall quality of hire. It is about time we recognized the influence of statistics on our hiring success. #leansixsigma #statisticalprocesscontrol #processimprovement
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