3
experimentation and learning
All experiments, by definition, generate information, which at a minimum becomes an input to additional experiments or is applied to the result—the intent of the experiment itself—or both. An experimentation process, however, can do more than generate information useful to the process itself. When well structured and integrated into an organization, experimentation generates learning that has implications far beyond the “laboratory.” As we saw in chapter 2, the changes in learning from experiments in custom chips ended up transforming an industry, indeed creating a new multibillion-dollar segment: programmable logic technologies. In chapter 1, we saw how looking at the results of experiments as more than information ...
