Survey Question Types and Response Formats

Survey questions can collect predefined choices, ratings, quantities, yes/no answers, or comments in a respondent’s own words. Choose the response type that matches what you need to learn: use closed-ended questions for results that are easier to compare, and open-ended questions when you need detail that fixed answer options may not capture.

Whatever format you choose, make the options clear, complete, and non-overlapping. A respondent should understand what each choice means and be able to select an honest answer without guessing.

Survey question types checklist

• Match the response format to the information you need and how you plan to analyse it.
• Use single selection when only one answer can be valid.
• Use multiple selection only when several answers can genuinely apply.
• Make predefined answer options complete and mutually exclusive.
• Label rating scales clearly and keep their direction consistent.
• Use Yes/No questions only for genuinely binary facts or decisions.
• Create numeric and frequency ranges that do not overlap.
• Include “Other,” “Not applicable,” or “Prefer not to answer” when a valid response may fall outside the listed options.

Closed-ended vs. open-ended survey questions

Sometimes you need answers that are easy to quantify. In such cases, you can easily go ahead and create a question with several predefined choices. Examples of questions with predefined answers that you can make with SurveyLegend are single selection or multiple selection. Results from such questions are really easy to illustrate, and very easy to understand.

Example:

When presenting the statistics for a question like the example above, you can easily illustrate that, for example, 70% of male participants liked brand X or Y. Such data is easier to use when making decisions and easier to share.

However, pros recommend that in a multiple choice question, the choices should cover all possible answers. Sometimes, this will mean including an option for “Other,” or “Don’t know,” or even “Don’t wish to say” for sensitive questions.

Not only will this get you more accurate data, but it builds trust. If respondents feel you’re trying to make them give you an answer they don’t agree with, they may just skip the question, or stop answering questions altogether.

When participants can provide their own answers instead of choosing only from predefined options, you are creating an open-ended question.

Example:

This gives participants freedom to express and share more detailed answers.

Example:

Single-selection vs. multiple-selection questions

Sometimes you need to give your respondents the flexibility to answer by making more than a single choice. Although SurveyLegend’s multiple selection is a useful survey field, it can be tricky to analyse the results you collect with it. If your participant chooses more than one answer, does that mean the answers are equally important?

Consider whether you need respondents to choose the answer that matters most or whether several answers can genuinely apply at the same time.

It’s not wrong to use multiple selection, but the results are often harder to evaluate.

Make answer options mutually exclusive

When using single selection questions, choices should be mutually exclusive and should not overlap. For example, if a question asks:

“Which kind of food is your favorite?”, the answers shouldn’t include both Indian food and vegetarian food, because there might be Indian foods which are vegetarian too. If someone’s favorite food is one of those foods, which response is appropriate?

How to write clear scaled response questions

Clear verbal labels can reduce ambiguity in scaled response questions. Numbers can make results easier to calculate, but respondents should not have to remember what each number means while answering.

Let’s say you want to ask them:

“On a scale of one to seven, with 1 being extremely likely, and 7 being not likely at all, how likely are you to pay for our product again?”

This creates an unnecessarily long question. Respondents have to remember the meaning of the endpoints, translate their opinion into a number, and then choose a response. That extra cognitive effort can make the answer less reliable.

Instead, you can easily verbalize the answers for them, put them in a scaled order, and then quickly convert the collected data to numbers in your final calculations.

Example:

Unipolar vs. bipolar rating scales

The right number and arrangement of answer options depends on whether the scale measures one direction or two opposing directions.

For unipolar questions

When you ask a unipolar question that asks the respondents to rate only one aspect of something, a five-point scale is often a practical starting point.

Example: Unipolar question with a 5-point scale

For bipolar questions

When you ask a bipolar question, you are asking the respondent to describe their opinions or feelings between two opposite ideas, such as liking and disliking something. A neutral midpoint can represent respondents who fall between the two directions. The scale might look like this:

Like ↤ Neutral ↦ Dislike

Then you can include one, two, or three options on each side of the neutral choice. Your final bipolar question might therefore use a five-point or seven-point scale.

An odd number of choices allows for a neutral midpoint, but too many choices may confuse respondents.

Example: Bipolar question with a 5-point scale

When to use yes/no survey questions

If you ask your survey participants: “Do you like to play computer games?” and give them only two choices of “Yes” and “No,” what do you expect them to say? Sometimes they might have time and interest, and during some periods they might not have the time for it. Or they might like some specific sorts of computer games, but not all…

By limiting your respondents to only two choices, you ask them to see the subject as black and white. But if your aim is to analyse how people really think along a spectrum, this is not a well-considered question.

So, sometimes it’s better to give them more choices.

Example:

How often and quantity answer options

When you want to measure how much time, money, or energy respondents spend on something, you can use ordered verbal choices or numeric ranges. If respondents probably can’t give you exact numbers, use clearly ordered words like those in the example below:

How to write “how often” response options

State a timeframe and use non-overlapping numeric choices when precise frequency matters, such as “0 days,” “1–2 days,” and “3–4 days in a typical week.” Use a verbal scale such as “Never,” “Rarely,” “Sometimes,” “Often,” and “Always” only when perceived frequency gives you enough detail.

Example: Verbal scale

However, if you think it is possible for them to answer with more exact numbers, and the numbers are important to you, go ahead and make some numeric intervals. It mostly depends on your data needs.

Example: Numeric intervals

Write non-overlapping response ranges

Do not create overlapping ranges. Overlap makes it difficult for respondents to choose the right answer.

For example, suppose you ask: “About how long do you play games in a typical day?” and give them these choices: A) 1 hour or less, B) 1 to 2 hours, C) 2 to 3 hours, D) more than 3 hours. Which option should someone choose if they play for exactly two hours per day: B or C?

Example:

Therefore, you should try to keep your ranges roughly equal in size and make sure they do not overlap one another.

Include Other, Not applicable, or Prefer not to answer

Let’s say you ask a question about your respondents’ favorite flavor of ice cream. You may include some flavors in the options that you provide, but will never be able to include all flavors. In such cases, it’s better not to force the participants to choose only from your choices. Try to include an “Other” option.

You can even let them write down their own favorite flavors, with an open-ended question and collect the data for further analysis. There may be very interesting data in such responses.

Example:

For the complete writing process, return to the professional online survey questions guide, review the survey question dos and don’ts, or learn how to create a natural survey flow and question order.