When the functionality of a product or service overshoots what customers can use, it changes the way companies have to compete. When the product isn't yet good enough, the way you compete is by making better products. In order to make better products, the architecture of the product has to be interdependent and proprietary in character.

In the first stage of insight-building, all that researchers can do is observe phenomena. Second, they classify the phenomena in a way that helps them simplify the apparent complexities of the world so they can ignore the meaningless differences and draw connections between the things that really seem to matter. Third, based on the classification system, they propose a theory. The theory is a statement of what causes what and why, and under what circumstances.

The reason why it is so difficult for existing firms to capitalize on disruptive innovations is that their processes and their business model that make them good at the existing business actually make them bad at competing for the disruption. Companies in fact are specifically organized to under-invest in disruptive innovations! This is one reason why we often suggest that companies set up separate teams or groups to commercialize disruptive innovations. When disruptive innovations have to fight with other innovations for resources, they tend to lose out.

How could Digital's collapse be so precipitous? It's because, in many ways, financial performance data is misleading. As you move up to the top of the market, you're getting rid of the less profitable products at the low end and adding business with more attractive margins at the high end. The rate of unit volume growth might be tapering off as you pursue these smaller markets, but your margins actually look better. So Wall Street rewards your stock price until you hit the ceiling.

Almost always great new ideas don't emerge from within a single person or function, but at the intersection of functions or people that have never met before.

Most companies think of disruption as a threat. But disruptive innovations have tremendous growth potential. If incumbent companies can learn how to harness the forces of disruption, they too can improve their ability to create new-growth businesses.

The biggest mistake is an over-reliance on data. Managers will say if there are no data they can take no action. However, data only exist about the past. By the time data become conclusive, it is too late to take actions based on those conclusions.