We use a series of tests and evaluations that produce data that often proves we don’t have a workable solution. The rest of the world would characterize this as a failure. I would characterize this as an exhaustive study of many ways to apply technologies to needs to determine those that fit and those that do not. It’s a mistake to make decisions solely by counting up the number of successes compared to failures in this process. Often, big companies do that, basing decisions on the idea of maximizing the number of concepts that succeed verses those that fail. I would say you have to change the metrics. Success is two-fold:-first, getting through the evaluation and decision process quickly and efficiently without allowing team members to be damaged by failure; and second, finding a match between great technology and a really important need. Everyone will have gone through the travails of the various alternatives considered and everyone will share in the success when that project becomes a product.
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