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Key Takeaways Effective survey design requires recognizing and avoiding biased or poorly constructedquestions – leading, loaded, and double-barreled – to ensure high-quality and reliable data. Wouldn’t you prefer our service over the competition?” “How How great is our new product?” separately.
So, how do you avoid using these questions in your survey? What are Biased Survey Questions? “ How much do you love our exceptional customerservice? ” – Now, what’s wrong with this question? The question assumes that the customerservice is exceptional and prompts respondents to provide a positive response.
Upon returning the car, with tablet in hand the associate asked, “how would you rate our customerservice?” I discuss this in “Answering NPR: Why 5 Star Rating Systems Don’t Work” , but, bottom line, just like the Microsoft example, my “everything was perfect” summation fails to help Enterprise collect facts about its customerservice.
Companies often face low response rates and receive feedback from groups that don’t represent their customers at large, skewing the data. To get meaningful data, remove biases like leading constructs, double-barreledquestions, and insufficient answer options from your survey. There are customer interviews.
Upon returning the car, with tablet in hand the associate asked, “how would you rate our customerservice?” I discuss this in “Answering NPR: Why 5 Star Rating Systems Don’t Work” , but, bottom line, just like the Microsoft example, my “everything was perfect” summation fails to help Enterprise collect facts about its customerservice.
How can we increase customer loyalty? How can we make sure that our customerservice reinforces our brand? Whether tactical or strategic, when done correctly, Customer Listening gives you greater accountability, more insight, and a lens into the details that will boost employee and customer happiness.
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