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                               40                                               The McKinsey Mind


                                   have the perfect model. We just need to have something
                                   that’s better than what we have today. Let’s go out and make
                                   some money, and then we can continue to make it better
                                   over time.

                                   Once again, it is up to you to resist the impulse to get lost in the
                               data, whether in yourself or your team, because it will cost you
                               time and money.
                                   Triangulate around the tough problems. In surveying and
                               mapmaking, triangulation is the method of determining the precise
                               location of an unknown point by taking measurements from two
                               known points. You can use an analogous technique to form a
                               hypothesis when you have very little information about the prob-
                               lem at hand—a very common occurrence in business. At some
                               point you will come up against a question that appears unanswer-
                               able. Either the data are proprietary to your fiercest competitor,
                               or you’re breaking entirely new ground in your industry, or for
                               whatever reason the question is just too tough to crack. If that’s the
                               case, don’t despair. Chances are you can come up with some analy-
                               ses that will at least allow you to scope out the likely limits of the
                               answer, even if they won’t get you particularly close. Once again, if
                               you’re directionally correct and in the right order of magnitude,
                               chances are that’s enough to make a decision.
                                   To illustrate how this might be done, we’d like to present an
                               example from our alumnus at GlaxoSmithKline, Paul Kenny. He
                               had to determine the potential market size for a drug that had yet
                               to be developed and that treats a condition most doctors don’t even
                               recognize. His strategy gives an insight into how you might tackle
                               a similar situation:

                                   We’re looking into a condition called hypoactive sexual
                                   desire disorder (HSDD), which is an abnormally low level of
                                   sexual desire, primarily in women. At this point, it’s not
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