Introduction
Surveys are one of the most powerful tools to gather opinions, insights and feedback. But when a survey is poorly written, it can result in inaccurate, unreliable, or downright misleading data. One of the most common reasons for poor survey outcomes is the use of bad survey questions.
These aren’t just harmless mistakes. They can completely distort results, create false narratives, and ruin your decision-making process.
1. Leading Questions
Bad survey questions often come in the form of leading questions. These are phrased in a way that subtly (or not-so-subtly) nudges the respondent toward a specific answer.
For example:
“Don’t you agree that our service is excellent and deserves five stars?”
This question practically demands a positive response. It introduces bias and leads to inflated or unreliable data. A better version would be:
“How would you rate our service?”
Leading questions are especially damaging when trying to evaluate customer satisfaction, market interest, or public opinion. They don’t reflect how people genuinely feel — they reflect what the question is pushing them to say.
2. Double-Barrelled Questions
Another common type of bad survey question is the double-barrelled question — a single question that asks about two different things at once.
For instance:
“Do you find our products high quality and affordable?”
Someone might believe your products are high quality but not affordable. Or vice versa. How are they supposed to answer? Questions like this muddy the data and make it difficult to interpret results clearly.
Instead, separate the ideas:
· “Do you think our products are high quality?”
· “Do you think our products are affordable?”
When in doubt, stick to one topic per question.
3. Ambiguous Language
Vague or unclear wording is another key trait of bad survey questions. Take the question:
“Do you use our service regularly?”
What does “regularly” mean? Once a week? Every day? Once a month?
When words are left open to interpretation, different respondents can understand them differently which means their answers won’t be consistent or comparable.
The fix is simple: be specific.
“How many times per week do you use our service?” or “Have you used our service more than five times in the past month?” are clearer and produce more useful data.
4. Double Negatives
Nothing confuses a survey respondent faster than a double negative. Consider this confusing mess:
“Do you disagree that the product shouldn’t be improved?”
Even native English speakers might struggle to answer that. Double negatives require extra mental effort and often lead to errors or skipped questions.
A cleaner version might be:
“Do you think the product needs improvement?”
Survey questions should be easy to read and understand — otherwise, you’re risking both drop-offs and unreliable responses.
5. Loaded or Emotive Words
Using emotional or biased language in your survey questions is another way to undermine the quality of your data. These types of bad survey questions often include exaggerated or persuasive wording.
For example:
“Do you love our amazing new feature?”
The word “amazing” influences the respondent. Instead, stick to neutral language:
“What do you think of our new feature?”
By using neutral phrasing, you let the respondent form their own opinion, leading to more honest and accurate data.
6. Incomplete or Overlapping Answer Options
Sometimes the question is fine, but the available answers are flawed. One common mistake is giving a set of options that aren’t exhaustive or that overlap.
Example:
· Very satisfied
· Satisfied
· Unsatisfied
What if someone is very unsatisfied? Or just neutral? You’ve forced them into a category that may not reflect how they feel.
The same applies to overlapping ranges in numeric questions:
· 0–5
· 5–10
· 10–15
Where does someone who selects “5” go?
To fix this, ensure all ranges are mutually exclusive and include a full spectrum of responses:
· Very satisfied
· Satisfied
· Neutral
· Unsatisfied
· Very unsatisfied
7. Too Many Choices
Giving your respondents too many options can be just as bad as giving too few. A long list of choices can overwhelm participants and result in inaccurate selections or skipped questions. This is particularly common in dropdown menus or multiple-choice grids.
For example, asking respondents to choose their job title from a list of 30+ options without a search function is overwhelming and time-consuming.
To improve:
· Group similar options
· Offer a searchable dropdown
· Provide an “Other (please specify)” field
Simplifying helps people complete the survey faster and more accurately.
8. Inconsistent Rating Scales
One underrated but serious type of bad survey question relates to inconsistent scales. If you use different scales throughout your survey — say, a 1–5 scale in one question and a 1–10 scale in another — you create confusion and make analysis harder.
Respondents may forget which scale they’re using, leading to inaccurate selections. Worse, when it’s time to analyse the results, the data won’t align easily.
Solution: stick with one scale format throughout your survey. If you’re using 1–5, keep it consistent.
9. Intrusive or Sensitive Questions Without Context
Asking sensitive or personal questions without context or protection can make respondents uncomfortable and unwilling to share honest responses. These are often the most damaging kinds of bad survey questions.
Imagine a question like:
“What is your annual income?”
Without an explanation of why you’re asking or assurance of anonymity, people may choose not to answer — or worse, lie.
Instead, try:
“This question helps us understand the financial profile of our customers. Your response will remain anonymous.”
You might also offer income brackets rather than asking for an exact number:
· Under £20,000
· £20,000–£40,000
· £40,000–£60,000
· Over £60,000
Always respect the respondent’s privacy and give them the option to skip.
10. Jargon and Technical Language
Not every respondent speaks the same professional language you do. If you use highly technical terms or internal jargon, many people won’t understand what you’re asking.
For example:
“Rate your satisfaction with the UX flow of our product’s onboarding module.”
A better version:
“How easy was it to get started with our product?”
Keep language simple, clear, and conversational. You want responses to reflect genuine understanding — not confusion or guesswork.
Why These Mistakes Matter
Let’s now explore why these types of bad survey questions are so dangerous.
They Create Biased or Misleading Data
When questions are leading, loaded or too vague, people don’t give their honest opinions — they give what they think you want to hear. This can drastically skew your results and lead to poor decisions.
They Confuse Respondents
Poorly written questions force respondents to stop and think too hard. That results in mistakes, skipped questions, or even survey abandonment. Good surveys flow naturally.
They Increase Drop-Out Rates
The more confusing, intrusive, or complicated a question is, the higher the likelihood that a respondent will give up halfway through. Keeping your questions clear and relevant is essential to maintaining engagement.
They Make Analysis Difficult
If your data comes from inconsistent scales, overlapping answers or unclear responses, it’s much harder to analyse — and your insights will be far less trustworthy.
Simple Fixes for Each Problem
| Problem | Quick Fix |
| Leading questions | Use neutral wording |
| Double-barrelled questions | Split into two separate questions |
| Ambiguous language | Define terms clearly |
| Double negatives | Use simple, straightforward language |
| Loaded words | Remove emotional or persuasive language |
| Incomplete answer options | Include a full range of choices |
| Too many options | Group or shorten choices |
| Inconsistent rating scales | Standardise your scale format |
| Sensitive questions | Add context and anonymity |
| Jargon | Use everyday language |
Practical Tips for Writing Better Survey Questions
Now that we’ve covered the top 10 bad survey questions, let’s look at how to avoid them from the start.
1. Be Clear and Specific
Every question should be easy to understand on the first read. If someone needs to read it twice to figure it out, it’s not clear enough.
2. Keep Questions Short
Long, winding questions take more effort to process. Keep each question focused on a single idea.
3. Define Key Terms
If you must use industry terms, explain them. Better yet, find simpler alternatives.
4. Maintain a Consistent Tone and Format
Use consistent rating scales, question styles, and terminology throughout your survey.
5. Pilot Test Your Survey
Before sending your survey out, run a small test with colleagues or friends. Ask for feedback on clarity, logic, and ease of completion.
6. Respect Privacy
Let respondents know how their data will be used. Allow anonymous participation whenever possible.
7. Avoid Over-Surveying
Don’t ask too many questions. Shorter surveys tend to have higher completion rates and better data quality.
Final Thoughts
The difference between useful insights and misleading noise often comes down to how the questions are asked. If your survey is filled with bad survey questions, your data will be flawed and any conclusions drawn from it will likely be wrong.
The good news is that all of these issues can be avoided with a little care. By focusing on clarity, neutrality, and simplicity, you can write better surveys and collect more reliable, actionable data.
