Why Flat Forecasts Can Outperform More Plausible-Looking Plans

Complex-looking forecasts are not necessarily better

Nicolas Vandeput uses a SKU Science example to show that planners may prefer forecasts with visible variation even when a stable baseline is more accurate.

Practical implication

Compare human overrides with the baseline using Forecast Value Added rather than accepting a more complex-looking forecast because it feels more realistic.