Be cautious about inferring preferences from behavior. http://amzn.to/1Q344dL
Book: Scarcity
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A word of caution about reading behaviour

Caution about inferring preferences from behaviour, quote from Scarcity

Scarcity offers an important warning. Be cautious about inferring preferences from behaviour. We often assume that what people do shows what they want. If someone skips the gym, they must not value fitness. If a customer abandons a cart, they must not want the product. Reality is usually more complicated.

Behaviour reflects constraints as much as preferences. People under pressure make choices they would not make with more time, money or energy. A tired parent may buy fast food despite caring about nutrition. As a result, the behaviour tells us about the situation, not only about values.

Applying caution to data and decisions

This matters a lot in marketing and analytics. Click data, purchases and app usage are valuable. However, they show what happened, not why. Therefore, combine numbers with conversations. Customer interviews often reveal barriers that dashboards cannot show.

For example, a drop in sign-ups might look like low interest. A few calls might reveal a confusing form instead. Fixing the form would then solve the problem, while a new campaign would only waste budget.

The same caution applies to judging people. Colleagues who seem disengaged may be overloaded. Friends who cancel plans may be struggling. Moreover, asking with curiosity usually works better than assuming.

In short, behaviour is a clue, not a verdict. Treat it as the start of an investigation. That small shift leads to better products, fairer judgements and more accurate decisions.

In addition, qualitative research is not only for big companies. A small business can call five customers a month and ask open questions. As a result, it learns what numbers alone cannot show. Moreover, customers usually appreciate being asked, which strengthens loyalty and trust. Therefore, combining data with conversation is both practical and affordable.

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