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you need to start them off with a lot of structure, so they   generally are not aware of. Though ostensibly geared to un-
           don’t have to think. A lot of what we do is habit, and it’s    derstanding and molding the experiences of customers, each
           hard to change those habits, but having very clear guardrails   design-thinking activity also reshapes the experiences of the
           can help us.”                                            innovators themselves in profound ways.
             Organized processes keep people on track and curb the ten-
           dency to spend too long exploring a problem or to impatiently   Customer Discovery
           skip ahead. They also instill confidence. Most humans are
           driven by a fear of mistakes, so they focus more on preventing   Many of the best-known methods of the design-thinking
           errors than on seizing opportunities. They opt for inaction   discovery process relate to identifying the “job to be done.”
           rather than action when a choice risks failure. But there is no   Adapted from the fields of ethnography and sociology, these
           innovation without action—so psychological safety is essen-  methods concentrate on examining what makes for a meaning-
           tial. The physical props and highly formatted tools of design   ful customer journey rather than on the collection and analysis
           thinking deliver that sense of security, helping would-be   of data. This exploration entails three sets of activities:
           innovators move more assuredly through the discovery of     Immersion. Traditionally, customer research has been an
           customer needs, idea generation, and idea testing.       impersonal exercise. An expert, who may well have preexisting
             In most organizations the application of design thinking   theories about customer preferences, reviews feedback from
           involves seven activities. Each generates a clear output that   focus groups, surveys, and, if available, data on current be-
           the next activity converts to another output until the organi-  havior, and draws inferences about needs. The better the data,
           zation arrives at an implementable innovation. But at a deeper   the better the inferences. The trouble is, this grounds people
           level, something else is happening—something that executives   in the already articulated needs that the data reflects. They see




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