7 Worst Questions To Ask In Customer Surveys

Gathering feedback is an essential part of building a great customer experience. It's also one of the keys to making better business decisions.

It helps improve customer service, product development, and employee satisfaction. On top of that, surveys can be used to generate qualified leads. But it only works if it's done well. Surveys are surprisingly easy to mess up and a messed up survey is useless.

We've established a list of common pitfalls and how to avoid them.

Want to improve your online surveys? Read on!

We've established a list of common pitfalls and how to avoid them.

Want to improve your surveys? Read on!

1. Double-barreled Questions

The more information you get, the better informed your decisions will be.

But that doesn't mean you should ask for too much at once.

In fact, you should only address one issue at a time.

A double-barreled question is a question that addresses two or more issues at a time. And it expects a single answer. As such, you can't discover the real intentions of the respondent. And that renders the question useless for analysis.

Examples of Double-barreled Questions

Here’s what loaded question looks like:

"Do you like the design and features of the product?"

"Are you satisfied with the evolution and the performance of the software?"

Even if it makes your survey longer, you should break down your questions. Then the results will be meaningful.

Double-barrelled questions are often used by criminal attorneys during cross-examinations. It's a way to get people to incriminate themselves.

For example: "Did you call the ambulance after injuring the victim?" Whether you answer yes or no, you're screwed.

But your survey respondents are not criminals, so avoid this kind of bad survey questions!

Not sure which customer survey questions to include? Consider generating your customer survey with AI tool without registration:

2. Leading Questions

Leading questions are framed to push the respondent to answer in a specific manner. They usually already contain information that the survey creator wants the respondent to confirm.

It can be intentional or not. That’s why we need to be aware of our own biases.

Here are things to look for to avoid biased language:

• Elements of assumption

• Influence or moral judgement in the question

• Moral implication in answering either way

• High influence of moral values on the response

• Forcefulness in the question

Examples of Leading Questions

Assumption: "How innovative did you think the latest release of our product was?" This kind of a bad question assumes that the customer thinks of the product in terms of innovation. That's a common survey mistake.

Ask this instead: "What did you think of the latest release of our product?" or "Do you think the latest release of our product includes innovative elements?"

Influence in the question: "How satisfied are you with the outstanding performance of our customer service department?" Whether your performance was outstanding or not is for the respondent to decide.

Ask this instead: "How satisfied are you with our customer service department?"

Moral implications: "Do you feel justified in causing deforestation so you can enjoy a chocolate bar?" Depending on the answer, the question frames the respondent as a good or a bad person.

Ask this instead: "Do you worry about the environmental impact of your buying habits?"

Here’s a real-life example of moral pressure in a survey:

Forcefulness: "95% of our customers are happy with our products. Can we assume you're one of them?"

It is a kind of a bad survey question. It doesn't really ask for information so much as it asks for confirmation.

These precise questions will provide more objective insights: "How would you rate your satisfaction with our product?" or "Would you say you're generally satisfied with our products?"

Avoid biased questions. Respondents can answer freely and truthfully. Otherwise, the results of your survey won't be usable.

3. Badly Designed Questions

Crafting good questions is important. But you also need to make sure they're easy to understand and respond to.

This happens more often than you think. And to big companies too.

Examples of Badly Designed Questions

1. Unnecessarily Complicated Design

This survey by Bank of America makes a very simple rating question unnecessarily complicated. The question would’ve been perfectly clear with a regular scale.

On top of that, they ask the participant to respond as fast as they can. This is something you want to indicate at the beginning of the question. That way, the participant can comply as soon as they’re done reading, instead of being surprised with the request.

It’s also worth noting that this question probably wouldn’t look good on mobile.

That can be problematic since according to surveys conducted by Toluna with millions of people, 25% of Americans, 32% of Brits, and as much as 53% of Turks complete surveys on their mobile phones.

2. Mismatching Question and Answers

Let's check some common examples! This recent survey by Cisco suffers from a severe flaw:

The question is formulated in terms of frequency. But you can only answer in terms of likelihood. There’s an important mismatch between what is asked and what you can answer to it.

3. Wrongly Used Mutual Exclusion

This survey by Google only allows you to pick 1 option. Clearly these are not mutually exclusive. For that reason, the respondent might not know what to choose.

As you can see, how you set up your answers is as important as the question you’re asking.

Make sure that questions are easy to understand as well as easy to respond to, and that answer choices match the question perfectly.

4. Questions with Uncommon Language

Avoid using jargon, slang, or colloquialisms in your surveys.

If your customers can't understand the question, you won't get a valuable answer.

Keep it as clear and simple as possible.

Examples of Questions with Uncommon Language

Here are a few examples of what not to do.

Jargon: "How do you feel about the CSS improvements in our new release?"

Most people don't know what CSS is. They just browse the website.

Ask this instead: "How do you feel about the visual appearance of our new release?"

Colloquialism: "How do you feel about the number of lorries driving through your neighborhood?"

"Lorry" is typically used in Britain to refer to a large freight truck.

If you're addressing an international target audience, make sure to adapt.

Ask this instead: "How do you feel about the number of freight trucks driving through your neighborhood?"

5. Ambiguous Questions

The goal of a survey is to understand how respondents really feel about something.

But if they don't know what you're after, they can hardly give you a usable response.

That's why you need to make your questions as clear as possible. There should be no room for interpretation.

You either need to narrow down the question or break it up into several questions.

Examples of Ambiguous Questions

Vague: "Do you usually shop at our stores?"

"Usually" doesn't mean much. It has a different meaning for everybody and it depends on the situation. Any answer to that would be useless.

Ask this instead "How often do you shop at our stores?" Then offer specific and relevant timeframes to choose from.

Ambiguous: "Do you enjoy our product?"

The problem here is that product experience usually has many components. There's ease of use, return on investment, safety, reliability, and so on.

So any answer to that won't tell you much.

What you want to do here is break the question down. This is how EASI asks their customer satisfaction surveys.

6. Badly Scaled Questions

It's not enough for your question to be relevant. You have to give respondents a reasonable and usable scale to answer it.

Otherwise you won't be able to do much with those answers.

Examples of Badly Scaled Questions

Here are just a few cases in which the scaling system makes the results of the survey worthless.

1. Nonsensical Scale

The scale in this example appears to have a common gradation but, upon closer inspection, it doesn’t make any sense.

Surely, if you received less support than you needed, you received some support that you need. And if you didn’t receive either less or more support than you needed, then you received all the support you needed.

Also, the two first two options are written in comparative terms (more/less) while the fourth and fifth option are written in quantitative terms. You can’t have both at the same time.

2. Slightly off Scale

In this example, the survey creator uses a scale from 1 to 10, with 5 being the middle point. That middle point should be between 5 and 6.

And this is why we use odd scales in these situations.

3. Disproportionate Scale

In this example, the middle point isn’t neutral. There are 3 options to express satisfaction and 2 to express dissatisfaction. And there’s no way to express a neutral opinion.

7. Intrusive Questions

It's understandable that you'd want to know as much as possible about your respondents.

That being said, some subjects are more sensitive than others. You need to approach them as such.

This concerns questions relating to people's personal lives. It can include sexuality, gender identity, illegal activities, distressing events, and so on.

How to Ask a Sensitive Question

If you don't prepare your respondents' sensitive questions, you might hurt your survey. Respondents might avoid responding, drop out of the survey, or give untruthful responses.

None of that helps. So here are a few things you can do.

1. Guarantee anonymity - Only say it's anonymous if it really is. In that context, respondents might be comfortable with answering the question truthfully.

Obviously, anonymity can't only be theoretical. If you run a small company and your survey asks about race, and you only employ one person of color, they can be identified.

In this case, that's not real anonymity.

2. Lead up - Consider not asking a sensitive question out of the blue. Build up to that question with questions that already touch on the subject.

For example, don't ask someone if they're using illegal/hard drugs right away. Ask first about their opinion of drug regulations. And if they've used legal drugs already.

And then ask your question.

3. Provide context - If respondents don't know what their data is going to be used for, they might be suspicious.

You can prevent that by explaining why the question is important. And what you're going to do with that piece of information.

4. Normalize - You might have to ask a question about something that's usually frowned upon. That's okay. An easy way to avoid respondents getting defensive is to normalize the behavior.

For example, you might need to ask how frequently respondents attend parent-teachers meetings. In that case, consider starting by saying that there are many reasons why parents can't attend meetings (work, illness,...).

And then ask them how frequently they go.

5. Frequency - You'll have a better chance with some questions by asking about frequencies rather than yes or no answers.

If you ask someone whether they do illegal drugs, they'll probably say no. Because that's what's socially acceptable.

But if you provide frequency brackets (never, 1 to 6 times a year, 7 to 12 times a year,...), they'll be more likely to respond.

6. Provide an out - Give them an option not to respond. Sometimes that's the price for them not to drop out. If your survey doesn't depend on these questions, you'll benefit from their other answers.

7. Do it at the end - Ask sensitive questions towards the end of your survey. That way you make sure that you'll at least have answers to the rest of your questions.

Examples of Intrusive Questions

Questions about—including but not limited to—the respondent's sexuality/gender, political opinions, and financial/credit history are usually seen as intrusive.

Here are a few examples.

Intimacy - "Would you describe your sex life as satisfying?"

Politics - "Did you vote in the most recent presidential election?"

Money - "How frequently do you go into overdraft?"

How Guilty Are You? + Survey Templates

It's crucial that you analyze your own work and fix common mistakes.

Otherwise surveys won't teach you anything. And, in turn, you won't be able to make informed decisions.

You need to:

✓ Limit yourself to one piece of information by question

✓ Check and eliminate bias as much as possible

✓ Use various question types, such as open-ended, scale questions, multiple-choice questions

✓ Include open-ended questions to get actionable insights

✓ Use neutral language your audience can understand

✓ Leave no room for interpretation

✓ Avoid types of questions that are hard to understand such as negative question, double negative and vague questions

✓ Be extremely careful with intrusive type of question

Have your perfect survey questions? Add them to one of the pre-designed templates and start collecting meaningful feedback with involve.me, the AI quiz funnel builder with built-in email automation.

Author

Forster Perelsztejn is in charge of marketing at Rooftop, an email management and all-in-one collaboration tool. He has spent most of his career working in SaaS and creating content for a variety of authoritative publications. When he’s not working, you can find him playing music, taking photos, and taking care of his pets.