8 Best practices for writing effective survey questions

AI generated illustration of an online survey on a computer.

If you’ve ever designed or are currently designing a survey, you’ll know how challenging it can be to write survey questions that effectively help answer your research objectives, that are easy to understand and that are unbiased. It’s a real craft that takes practice to master. To make this easier, we have compiled a list of eight best practices for writing effective survey questions. While this list isn’t exhaustive, it’s a good starting point.

Make sure every question counts 

The more questions you add to your survey, the less likely respondents are to complete it entirely. At Bunnyfoot, we aim to keep surveys within a 10-12 minute limit to maintain engagement. Before finalising your survey, review each question and ask yourself, “How will this answer support my research objectives?” Consider removing any questions that aren’t essential.

Be clear and concise

Use simple, direct language and avoid jargon, acronyms, or technical terms that could confuse respondents. The goal is to make your questions easy to read and understand at a glance.

An example:

 Image showing two survey questions to illustrate a bad and a good example for clear and concise survey question wording. The first question, which is a bad example, says: 'What is your opinion on the recent implementation of the revised and streamlined onboarding procedures?' It includes a 5-point scale with options: Very Dissatisfied, Dissatisfied, Neutral, Satisfied, and Very Satisfied. The second question, which is a good example, simplifies the wording to: 'How satisfied are you with the new onboarding process?' using the same 5-point scale.

Avoid leading survey questions 

Leading questions push respondents towards a particular answer, skewing your data. Instead, use neutral language to allow respondents to answer honestly. 

An example:

 Image showing two survey questions to illustrate a bad and a good example for neutral survey questions. The first question, which is a bad example, says: 'How satisfied are you with our newest friendly chat feature?' It includes a 5-point scale with options: Very Dissatisfied, Dissatisfied, Neutral, Satisfied, and Very Satisfied. The second question, which is a good example, uses a neutral tone: 'How satisfied are you with our chat feature?' using the same 5-point scale.

Stick to one topic per question

Avoid double-barreled questions, which ask about more than one topic in a single question. This can confuse respondents and yield unclear results. Instead, focus on one single topic per question.

An example:

Image showing two survey questions to illustrate a bad and a good example for sticking to one topic per question. The first question, which is a bad example, says: 'How easy or difficult was it to submit a complaint with us, and what suggestions do you have for improvement?' with an open text box for responses. The second example, which is a good practice, splits this into two questions: 'How would you describe your experience submitting a complaint with us?' with a 5-point scale from Very Difficult to Very Easy, and 'What can we do to make it easier for you to submit a complaint with us?' with an open text box for responses.

Keep open-ended survey questions to a minimum

Too many open-ended questions can cause respondents’ fatigue and increase the risk of survey abandonment. Too many open-ended questions also make it harder (and/or longer) for you to analyse the data afterwards. You should use open-ended questions sparingly to gather qualitative insights that closed questions alone might miss. 

Give respondents an out

Not everyone will have an answer to your survey questions, or wish to share one. Include survey responses like “Prefer not to say” or “Don’t know” for questions where respondents may not have an answer. This helps prevent respondents from selecting inaccurate or random answers which would skew your results. 

An example: 

Image showing two survey questions to illustrate a bad and a good example for giving respondents an out. The first question, which is a bad example, asks: 'Over the past 12 months, how often have you visited our website?' with options: Daily, Weekly, Monthly, Every few months, and Once or twice. The second question, which is a good example, includes the same options but adds: 'I haven’t visited in the past 12 months,' 'I have never visited this website before,' and 'I don’t remember.

Consider the questions’ order 

Order questions to encourage completion and accuracy. Start with easy, non-sensitive questions and gradually progress to more complex or personal topics, to help respondents feel comfortable and invested in the survey.

Ensure your survey responses are mutually exclusive

Response options should not overlap. Ensure that each option is distinct from one another so respondents can easily select the answer that best applies to them.

An example:

Image showing two survey question examples to illustrate a bad and a good example of mutually exclusive survey questions. The first question, which is a bad example, asks: 'How old are you?' with options: 21 or less, 22-30, 30-40, 40-50, and 50+. The second question, which is a good example, provides non-overlapping options: 21 or less, 22-30, 31-40, 41-50, and 51 or over.

Going further

Want to dive deeper into survey design? We offer a comprehensive course where we cover various quantitative user research methods, with a significant focus on surveys. Sign up now to our Introduction to Quantitative User Research Methods course.

Alternatively, if you’re looking for support in designing, distributing, or analysing a survey, explore our survey services here or reach out to us.