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Averages are hiding the underlying distribution and its dispersion.

First, it may be necessary to look at different populations (e.g. contractors versus employees) that may have different onboarding constraints and lead times to optimize the joiner process.

Second, low and high variances could both lead to the same average lead times but would be a completely different story in terms of managing the joiner process.

Finally, the successful onboarding of workforce members may require contributions from multiple stakeholders within the organization (e.g. HR, Logistic, Procurement, etc.). Trying to optimize the organization workforce onboarding process by only looking at the IAM joiner process may be insufficient.

LetP = (p_start, p_end) be the period of time being analyzed withp_startthe period start time and p_endthe period end time.

Let I be the set of completed (non-cancelled) joiner process instances whose joiner start date were within P.

Let n = |I| be the number of joiner process instances in I.

Let H = h₁, h₂, h₃, …, h_n be the set of hire notification times of I.

Let S = s₁, s₂, s₃, …, s_n be the set of start times of I.

The formula for the indicator is then: y = .