About 2–3 minutes. Anonymous.
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:
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.
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.
Thanks. One response per person keeps the numbers honest.