Businesses are constantly making predictions through decisions like choosing advertisements, hiring candidates, or sales forecasts. However, the processes businesses use to make these decisions are not always reliable. An experiment testing a marketing team's ability to choose the best advertisement found they only had a 13% chance of being correct, whereas larger groups were much more accurate. Similarly, recruitment decisions are often made by just one or two people and influenced by emotions rather than ability. The document argues crowd-sourced prediction protocols that incorporate more data and viewpoints could improve business decision making over relying on small groups or individuals.