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Time Matters
Performance measures record specified outcomes achieved either at a specified time or within a defined interval and so, by their very nature, are time dependent. Consequently, a performance measure alters the behaviors of those being monitored not only in relationship to what is being monitored but also to when the outcome is being monitored.
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Over time, leaders can grow their performance measurement systems to include almost countless numbers of interrelated metrics. Ensuring these numerous metrics remain well aligned, their output quality and relationship integrity preserved, and their meaning well understood while continuing to be of value to executives, managers, and employees necessitates a method of inventorying the measures themselves and their underlying construction characteristics. In our experience, the optimal method for maintaining such an inventory is through the use of a centralized metrics inventory database.
A performance measurement system’s complexity and organizational impact can bring with it many people, process, and technology challenges post implementation. For several months following a system go-live or significant upgrade, the organization adjusts its processes, procedures, and behaviors so to achieve the best possible reflected performance. This evolution is not without its costs or problems.
Organizational performance measurement systems are complex constructs that significantly impact leadership decisions, employee behaviors, and management processes and systems. Consequently, there are often many people, process, and technology challenges associated with the implementation or significant upgrade of such monitoring systems. By understanding these potential risks, leaders can put in place mitigating instruments to reduce the overall organizational impact and increase the likelihood that the new measurement system will be accepted and have the desired positive impact on performance.
Organizational performance measurement systems are complex structures cascading vertically from the executive suite to the shop floor and stretching horizontally though many different functional workgroups. Consequently, the design of a performance measurement system takes on a high degree of complexity because of the numerous interrelationships between various organizational levels and workgroups and the cross-functional sharing of common metrics. Thus, it is important to employ a multidiscipline team to design the measurement system, one that includes representatives from all levels of the organization as well as each functional area.
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