Queue Waits: From Average To Distribution
Explain why a distribution and sampling window can make a descriptive service metric more decision-ready than an average alone.
Same branch lobby, same day. What changed in the measurement view? Before: one all-day average masks the lunch rush. After: distribution by time block shows where the service promise breaks. Changed from one daily mean to time-block distribution because staffing decisions happen in peak windows, not in all-day blends. Added walkouts and mobile check-ins because excluding frustrated customers makes the descriptive statistic too flattering. Kept the conclusion descriptive because the new chart shows where waits occur; it does not yet prove a staffing change will cause improvement. Measure at the grain of the decision. Decision-ready descriptive statistics Upgraded an average…
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