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Last few questions

These are about you and about forecasting error in general, not about any one scenario above.

MAPE tolerance

Forecasters measure how good a model is with a number called MAPE — the model's average miss, written as a percentage. If the model says “schedule 10” and the day really needs 9 or 11, that’s a 10% miss. Do that across many days and the typical miss is the MAPE.

So a MAPE of 10% means the recommendation is normally about one person out of ten away from what the floor actually needed — sometimes over, sometimes under. A MAPE of 25% means it’s routinely off by a quarter.

The worst MAPE you’d still be willing to staff from (%) Above this number, you’d stop following the model and go with your own read instead. What makes that your cut-off?

Which best describes your retail experience? No retail experience Worked in retail but did not staff personally Was responsible for retail staffing

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Your answers were recorded. This is part of a study comparing how people and AI models decide when a forecast stops being worth using.

You saw the same showroom three times, with three different model track records. Comparing your three calls is the whole point.

Staffing decision

Last few questions

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Staffing decision

Last few questions

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