One quick staffing judgment

There are no right answers. We're after your read of the situation.

You manage staffing for a retail showroom. A forecasting model estimates demand and recommends how many people to schedule.

Here is the model's recommendation over the last 15 days, next to the number of staff actually needed:

Model recommendation Actual need
Show the numbers

If you go with it and it’s off, you’ll either be sitting around with time to spare or cutting it closer than you’d like.

Would you use the model as the primary basis for tomorrow's staffing plan, or rely on your own judgment instead?
How many staff would you actually schedule?
Why?
Which best describes your retail experience?

Optional (all three can be skipped)

Age (optional)
Gender (optional)
Country or region (optional)

Thanks, that's it.

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

Everyone sees a slightly different version of the scenario. That variation is the whole point, and it's why the answer isn't obvious.

You've already taken this one.

Thanks. One response per person keeps the numbers honest.