Page 48 - Decoding Decisions ~ Making sense of the messy middle
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48    CHAPTER 4      INFLUENCING THE MESSY MIDDLE









                          In the context of shopping decisions, we might be tempted to propose that
                          the degree of rationality increases with the size and importance of the
                          purchase. But as anyone who has ever bought a car, a house, or an expensive
                          holiday knows, the moment the deal closes can still be fraught with complex
                          emotion. And at the other end of the scale, even a seemingly functional,
                          low-cost purchase like buying a favourite shampoo can be prompted by
                          emotional or rational considerations, depending on the individual.

                          And of course, muddying the water of reason and emotion further is

                          advertising – particularly branding. Brands often seek to cultivate an emotional
                          connection with consumers – in fact, many people will openly describe
                          themselves as loving or hating a particular brand. These associations, often
                          bound up in our sense of ourselves and our aspirations for who we want to be,
                          are a powerful source of behavioural change in themselves.

                          To design an experiment looking at how behaviour is influenced during the
                          crucial explore and evaluate phases of our model, we needed to draw up a

                          list of behavioural science biases to test. For this, The Behavioural Architects
                          returned to the literature of academic behavioural science. Over the course of
                          more than 50 years, the discipline has codified some 300 principles that explain
                          the conscious and unconscious workings of the human mind. Of course, not all
                          of the 300 are relevant to the kind of decision-making we’re exploring here, so
                          during a thorough review, the team whittled down the list to six biases that are
                          closely associated with the explore and evaluate phases of our model.
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