Your customer won't always give you the right answer. Sometimes it is impossible for the customer to know what is right, and sometimes he just doesn't know what he needs.

Question

BlackTom AI · Accepted Answer

Consider the claim in the prompt about customer responses: the notion that the customer won’t always provide the right answer is being evaluated.
Option 1: 'True' — This can be a valid stance because customers may lack full information, have ambiguous needs, or not know what is truly best for their situation. In real-world interactions, customers might misinterpret their own requirements, become unsure, or provide partial or mistaken information, which means you cannot rely on their answers as definitive correctness.
Option 2: 'False' — If we assumed this were false, we’d be implying that customers always know the exact right answer or that their input is always accurate and sufficient. This ignores common communication gaps, knowledge gaps, and the potential for customers to misstate or misunderstand their needs. It also discounts situations where a customer might be guessing, influenced by biases, or unaware of constraints.
Option 1 further aligns with practical guidance in advisory or consultative settings, where follow-up questions, validation, and professional judgment are often necessary precisely because initial customer input may be incomplete or imperfect.
Option 2, by contrast, would encourage taking at face value every customer response without verification, which risks acting on incorrect assumptions and missing underlying requirements.
In summary, the proposition captured by the first option acknowledges the complexity of eliciting accurate information from customers, while the second option overlooks common limitations in customer knowledge and communication.

Your customer won't always give you the right answer. Sometimes it is impossible for the customer to know what is right, and sometimes he just doesn't know what he needs.

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