Crafting survey questions is both art and science. The wording you choose can make the difference between accurate, useful data and just the opposite. Fortunately, we’ve got a raft of tips to help.
Essential for success is understanding the different types of survey questions and how they work. Each format needs a slightly different approach to question-writing.
We also see common mistakes that keep survey questions from being effective all the time. These problems span various survey question types from rating scale questions to open-ended to multiple choice.
In this article, we’ll introduce some survey question types and how to approach writing them, and list some common errors to avoid so you can make sure your surveys, and the data they provide, is as high-quality as possible.
Survey question types
Did you know that Qualtrics provides 23 question types you can use in your surveys? Some are very popular and used frequently by a wide range of people from students to market researchers, while others are more specialist and used to explore complex topics. Here’s an introduction to some of the most common survey question formats, and how to write them well.
Familiar to many, multiple choice questions ask a respondent to pick from a range of options. You can set up the question so that only one selection is possible, or allow more than one to be ticked.
When writing a multiple choice question…
- Be clear about whether the survey taker should choose one (“pick only one”) or several (“select all that apply”).
- Think carefully about the options you provide, since these will shape your results data.
- The phrase “of the following” can be helpful for setting expectations. For example, if you ask “What is your favorite meal” and provide the options “hamburger and fries”, “spaghetti and meatballs”, there’s a good chance your respondent’s true favorite won’t be included. If you add “of the following” the question makes more sense.
Asking participants to rank things in order, whether it’s order of preference, frequency or perceived value, is done using a rank structure. There can be a variety of interfaces, including drag-and-drop, radio buttons, text boxes and more.
When writing a rank order question…
- Explain how the interface works and what the respondent should do to indicate their choice. For example “drag and drop the items in this list to show your order of preference.”
- Be clear about which end of the scale is which. For example, “With the best at the top, rank these items from best to worst”
- Be as specific as you can about how the respondent should consider the options and how to rank them. For example, “thinking about the last 3 months’ viewing, rank these TV streaming services in order of quality, starting with the best”
Slider structures ask the respondent to move a pointer or button along a scale, usually a numerical one, to indicate their answers.
When writing a slider question…
- Consider whether the question format will be intuitive to your respondents, and whether you should add help text such as “click/tap and drag on the bar to select your answer”
- Qualtrics includes the option for an open field where your respondent can type their answer instead of using a slider. If you offer this, make sure to reference it in the survey question so the respondent understands its purpose.
Also known as an open field question, this format allows survey-takers to answer in their own words by typing into the box.
When writing a text entry question…
- Use open-ended question structures like “How do you feel about…” “If you said x, why?” or “What makes a good x?”
- Open-ended questions take more effort to answer, so use these types of questions sparingly.
- Be as clear and specific as possible in how you frame the question. Give them as much context as you can to help make answering easier. For example, rather than “How is our customer service?”, write “Thinking about your interaction with us today, what could we do better?”
Matrix structures allow you to address several topics using the same rating system, for example a Likert scale (Very satisfied / satisfied / neither satisfied nor dissatisfied / dissatisfied / very dissatisfied).
When writing a matrix table question…
- Make sure the topics are clearly differentiated from each other, so that participants don’t get confused by similar questions placed side by side and answer the wrong one.
- Keep text brief and focused. A matrix includes a lot of information already, so make it easier for your survey-taker by using plain language and short, clear phrases in your matrix text.
- Add detail to the introductory static text if necessary to help keep the labels short. For example, if your introductory text says “In the Philadelphia store, how satisfied were you with the…” you can make the topic labels very brief, for example “staff friendliness” “signage” “price labeling” etc.
Now that you know your rating scales from your open fields, here are the 7 most common mistakes to avoid when you write questions. We’ve also added plenty of survey question examples to help illustrate the points.
Survey question mistake #1: Failing to avoid leading words / questions
Subtle wording differences can produce great differences in results. For example, non-specific words and ideas can cause a certain level of confusing ambiguity in your survey. “Could,” “should,” and “might” all sound about the same, but may produce a 20% difference in agreement to a question.
In addition, strong words such as “force” and “prohibit” represent control or action and can bias your results.
The government should force you to pay higher taxes.
No one likes to be forced, and no one likes higher taxes. This agreement scale question makes it sound doubly bad to raise taxes. When survey questions read more like normative statements than questions looking for objective feedback, any ability to measure that feedback becomes difficult.
Wording alternatives can be developed. How about simple statements such as: The government should increase taxes, or the government needs to increase taxes.
How would you rate the career of legendary outfielder Joe Dimaggio?
This survey question tells you Joe Dimaggio is a legendary outfielder. This type of wording can bias respondents.
How about replacing the word “legendary” with “baseball” as in: How would you rate the career of baseball outfielder Joe Dimaggio? A rating scale question like this gets more accurate answers from the start.
Survey question mistake #2: Failing to give mutually exclusive choices
Multiple choice response options should be mutually exclusive so that respondents can make clear choices. Don’t create ambiguity for respondents.
Review your survey and identify ways respondents could get stuck with either too many or no single, correct answers to choose from.
What is your age?
What answer would you select if you were 10, 20, or 30? Survey questions like this will frustrate a respondent and invalidate your results.
What type of vehicle do you own?
This question has the same problem. What if the respondent owns a truck, hybrid, convertible, cross-over, motorcycle, or no vehicle at all?
Survey question mistake #3: Not asking direct questions
Questions that are vague and do not communicate your intent can limit the usefulness of your results. Make sure respondents know what you’re asking.
What suggestions do you have for improving Tom’s Tomato Juice?
This question may be intended to obtain suggestions about improving taste, but respondents will offer suggestions about texture, the type of can or bottle, about mixing juices, or even suggestions relating to using tomato juice as a mixer or in recipes.
What do you like to do for fun?
Finding out that respondents like to play Scrabble isn’t what the researcher is looking for, but it may be the response received. It is unclear that the researcher is asking about movies vs. other forms of paid entertainment. A respondent could take this question in many directions.
Survey question mistake #4: Forgetting to add a “prefer not to answer” option
Sometimes respondents may not want you to collect certain types of information or may not want to provide you with the types information requested.
Questions about income, occupation, finances, family life, personal hygiene, and personal, political, or religious beliefs can be too intrusive and be rejected by the respondent.
Privacy is an important issue to most people. Incentives and assurances of confidentiality can make it easier to obtain private information.
While current research does not support that PNA (Prefer Not to Answer) options increase data quality or response rates, many respondents appreciate this non-disclosure option.
Furthermore, different cultural groups may respond differently. One recent study found that while U.S. respondents skip sensitive questions, Asian respondents often discontinue the survey entirely.
What is your race?
What is your age?
Did you vote in the last election?
What are your religious beliefs?
What are your political beliefs?
What is your annual household income?
These types of questions should be asked only when absolutely necessary. In addition, they should always include an option to not answer. (e.g. “Prefer Not to Answer”).
Survey question mistake #5: Failing to cover all possible answer choices
Do you have all of the options covered? If you are unsure, conduct a pretest using “Other (please specify)” as an option.
If more than 10% of respondents (in a pretest or otherwise) select “other,” you are probably missing an answer. Review the “Other” text your test respondents have provided and add the most frequently mentioned new options to the list.
You indicated that you eat at Joe's fast food once every 3 months. Why don't you eat at Joe's more often?
There isn't a location near my house
I don't like the taste of the food
Never heard of it
This question doesn’t include other options, such as healthiness of the food, price/value or some “other” reason. Over 10% of respondents would probably have a problem answering this question.
Survey question mistake #6: Not using unbalanced scales carefully
Unbalanced scales may be appropriate for some situations and promote bias in others.
For instance, a hospital might use an Excellent - Very Good - Good - Fair scale where “Fair” is the lowest customer satisfaction point because they believe “Fair” is absolutely unacceptable and requires correction.
The key is to correctly interpret your analysis of the scale. If “Fair” is the lowest point on a scale, then a result slightly better than fair is probably not a good one.
Additionally, scale points should represent equi-distant points on a scale. That is, they should have the same equal conceptual distance from one point to the next.
For example, researchers have shown the points to be nearly equi-distant on the strongly disagree–disagree–neutral–agree–strongly agree scale.
Set your bottom point as the worst possible situation and top point as the best possible, then evenly spread the labels for your scale points in-between.
What is your opinion of Crazy Justin's auto-repair?
The Best Ever
This question puts the center of the scale at fantastic, and the lowest possible rating as “Pretty Good.” This question is not capable of collecting true opinions of respondents.
Survey question mistake #7: Not asking only one question at a time
There is often a temptation to ask multiple questions at once. This can cause problems for respondents and influence their responses.
Review each question and make sure it asks only one clear question.
"What is the fastest and most economical internet service for you?"
This is really asking two questions. The fastest is often not the most economical.
"How likely are you to go out for dinner and a movie this weekend?"
Even though “dinner and a movie” is a common term, this is two questions as well. It is best to separate activities into different questions or give respondents these options:
Dinner and Movie
While not totally inclusive, these seven survey question tips are common offenders in building good survey questions.
Focus on creating clear questions and having an understandable, appropriate, and complete set of answer choices. Great questions and great answer choices lead to great research success. To learn more about survey question design, download our eBook, The Qualtrics Handbook of Question Design or get started with a free survey account on our with our world-class survey software.
Lastly, don't underestimate the importance of choosing the write survey tool for your business. Check out our 2020 Buyer's Guide - Choose the Best Free Survey Tool for Your Business.
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