GUEST POST from Mike Shipulski
When you design something, you create a solution to a collection of problems. But it goes far beyond creating the solution. You also must create objective evidence that demonstrates that the solution does, in fact, solve the problems. And the reason to generate this evidence is to help the organization believe that the solution solves the problem, which is an additional requirement that comes with designing something. Without this belief, the organization won’t go out to the customer base and convince them that the solution will solve their problems. If the sales team doesn’t believe, the customers won’t believe.
In school, we are taught to create the solution, and that’s it. Here are the drawings, here are the materials to make it, here is the process documentation to build it, and my work here is done. But that’s not enough.
Before designing the solution, you’ve got to design the tests that create objective evidence that the solution actually works, that it provides the right goodness and it solves the right problems. This is an easy thing to say, but for a number of reasons, it’s difficult to do. To start, before you can design the right tests, you’ve got to decide on the right problems and the right goodness. And if there’s disagreement and the wrong tests are defined, the design community will work in the wrong areas to generate the wrong value. Yes, there will be objective evidence, and, yes, the evidence will create a belief within the organization that problems are solved and goodness is achieved. But when the sales team takes it to the customer, the value proposition won’t resonate and it won’t sell.
Some questions to ask about testing. When you create improvements to an existing product, what is the family of tests you use to characterize the incremental goodness? And a tougher question: When you develop a new offering that provides new lines of goodness and solves new problems, how do you define the right tests? And a tougher question: When there’s disagreement about which tests are the most important, how do you converge on the right tests?
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