Survey Question Types Explained: Examples & Expert Tips

Whether you're conducting academic research, improving customer satisfaction, or boosting employee engagement, creating a well-designed survey is key to gathering actionable insights.

The types of questions you ask in a survey play a crucial role in collecting accurate, relevant data. Different question types can yield varying levels of detail, accuracy, and engagement from respondents.

In this article, we'll explore common types of survey questions, from multiple-choice to Likert scale, and offer examples and expert tips on how to use each for the best results. By understanding the nuances of these question formats, you can design surveys that not only capture the data you need but also enhance the overall respondent experience.

Creating an effective survey involves selecting the right types of questions to gather the data you need. Below is a snapshot of the most commonly used survey question types and when to use them.

Keep reading for a more in-depth exploration of the most common types of survey questions and how they can be effectively utilized to gather valuable insights.

Multiple choice questions are the most popular survey question type. They allow your respondents to select one or more options from a list of answers you define. They’re intuitive, help produce easy-to-analyze data, and provide mutually exclusive choices. Because the answer options are fixed, your respondents have a more effortless survey-taking experience.

Perhaps, most importantly, you’ll get structured survey responses that produce clean data for analysis.

Multiple choice questions come in many different formats. The most basic variation is the single-answer multiple choice question. Single-answer questions use a radio button format (circle buttons representing options in a list) to allow respondents to click only one answer. They work well for binary questions, questions with ratings, or nominal scales.

Multiple-answer multiple choice questions are commonly shown with square checkboxes. They allow respondents to check off all the choices that apply to them.

For example, "In which of the following ways do you use our product?"

A common drawback of multiple choice questions is that they force you to limit responses to a predetermined list of options, which can cause bias in your results. What if none of your answer options apply to your respondents? They might just choose a random answer, which could impact the accuracy of your results.

You can solve this problem by adding an “other” answer option or comment field. It should be listed at the end of all your choices. When respondents see it, they know they have the option of answering your question in their own words instead of yours.

In rating scale questions (sometimes referred to as ordinal questions), the question displays a scale of answer options from any range (0 to 100, 1 to 10, etc.). The respondent selects the number that most accurately represents their response.

Net Promoter Score® questions are a good example of rating scale questions. They use a scale to gauge how likely customers would be to recommend their product or service.

With ranking questions and numerical rating scales it’s important to give the respondent context. For instance, imagine you asked the question, “How much do you like ice cream?” Without explaining the value of the numbers on your scale, a numerical rating scale might not make much sense.

Chances are you’ve seen this question type before. Likert scale questions are the “do you agree or disagree” questions you often see in surveys and are used to gauge respondents’ opinions and feelings.

Likert scale questions give respondents a range of options—for example, starting at “not at all likely” and scaling up to “extremely likely.” That’s why they work well to understand specific feedback. For example, survey questions for employees often use a Likert scale to measure their opinions or attitudes on a range of topics.

Related reading: Likert scale survey questions, examples, & mistakes to avoid

If you want to ask a few questions in a row that have the same response options, matrix questions are your best option. A series of Likert scale questions or a series of rating scale questions can work well as a matrix question. 

Matrix questions can simplify a lot of content, but it’s important to use them carefully. Very large matrices, like the one below, can be confusing and difficult to take on mobile devices.

If the matrix becomes too complex or lengthy, consider breaking it into smaller, more manageable sections or alternative question formats, such as dropdown menus or multiple-choice questions.

The dropdown question is an easy way to display a long list of multiple choice answers without overwhelming your respondents. With it, you can give them a scrollable list of answers to choose from.

Sometimes, showing all answer options at once can offer your respondents useful context about the question. Keep that in mind whenever you consider using more than one dropdown question in your survey.

Open-ended survey questions require respondents to type their answers into a comment box and don’t provide specific pre-set answer options. Responses are then viewed individually or by text analysis tools.

When it comes to analyzing data, open-ended questions aren’t the best option. It’s not easy to quantify written answers which is why text boxes are better for providing qualitative data. Allowing your respondents to offer feedback in their own words could help you uncover opportunities that you may have otherwise overlooked. However, if you’re looking for data to analyze, you may want to engage in quantitative marketing research and utilize closed questions.

Pair closed-ended questions with open-ended ones to better understand and address your quantitative data. For example, after the Net Promoter Score survey question, you can ask respondents the reason behind their score:

Use demographic survey questions if you’re interested in gathering information about a respondent’s background (e.g., income level, age, location). When properly used, these types of questions in a questionnaire allow you to gain better insights into your target audience. 

Demographic questions are powerful tools for segmenting your audience based on who they are and what they do, allowing you to take an even deeper dive into your data.

Typical demographic questions ask for information like age, gender, relationship status, and occupation. 

A ranking question asks respondents to order answer choices by way of preference. This allows you to not only understand how respondents feel about each answer option but also helps you understand each one’s relative popularity.

It’s important to keep in mind that ranking questions can take more time to answer. So try not to use them if other question types can provide the data you need. Also, only use them when you’re confident that respondents are familiar with each answer option. Otherwise, they’ll be next to impossible to answer accurately and honestly.

For instance, in the question below, respondents need to be familiar with each TV show before they can compare them. 

Our image choice question type allows you to use images as answer options. This works great when you want respondents to evaluate the visual qualities of something, such as an ad or a logo. 

Want to get real-time, gut-reaction feedback on an image? Use a click map question! Add an image to your survey and ask survey takers to click a certain spot on the image. For example, you could ask what item on a shelf is most appealing or which part of your website is most user-friendly.

Need respondents to upload their resume? A headshot? Their ID? You can collect whatever you need as a PDF, PNG, or doc file. And once your responses come back, you can easily download the files.

With a slider question, respondents can evaluate something on a numerical scale. The questions are interactive, which can make them fun to answer, and they allow you to quantify respondent sentiment at both an individual and aggregate level.

Benchmarkable questions aren’t necessarily presented in a specific format, but they’re special in that they allow you to compare yourself to other survey creators who asked the same question.

Benchmarkable questions range widely, and they can be used for different audiences (employees, customers, etc.). To find one for your survey, you can either use our question bank or one of our survey templates. Any question that has a small bar chart icon at the top means it’s benchmarkable.

Dichotomous questions are super straightforward—they give you just two choices, usually "yes" or "no," or picking between two different things. These questions are characterized by their binary nature, offering respondents a clear and simple choice between two options. For example: 

Qualitative questions focus on gathering descriptive or narrative information from participants. They seek stories, opinions, or explanations directly from the source. Open-ended questions are the most commonly used qualitative question types in surveys. The qualitative data collected from these questions is typically textual and non-numerical.

For example, you might ask your customers, "What do you think about our new product?" or "Can you describe your experience with our customer service team?"

Qualitative questions are useful for exploring issues that cannot be easily summarized with numbers alone or for tapping into people's feelings, attitudes, and perceptions. However, qualitative data cannot be easily quantified and are often context-specific, meaning they may not be representative of broader populations or trends.

Quantitative questions focus on numbers and measurements. They provide options for responses, such as rating scales or multiple-choice questions. Quantitative data, consisting of numerical values, can be statistically analyzed.

Examples of quantitative questions include:

When you want to assess specific attitudes or perceptions in a standardized and measurable way, quantitative questions allow you to collect numerical data that can be analyzed statistically. They are ideal for measuring the frequency, intensity, or magnitude of behaviors, experiences, or events.

However, quantitative questions typically provide predefined response options or scales, which can limit respondents' ability to express nuanced or complex opinions, potentially leading to a shallower understanding of respondents' perspectives compared to qualitative questions.

Now that you know the different survey questions examples, you’re ready to start creating your survey. Here’s some advice to keep in mind as you begin:

Creating a great survey doesn’t have to be difficult. Leverage our hundreds of free, expert-designed survey templates built by in-house subject-matter experts and survey scientists. If you prefer to create a survey from scratch, use our Question Bank to start populating your survey with ready-made questions that can help you get the answers you need. This ensures your survey is methodologically sound and yields unbiased results.

Are your surveys ready to go mobile? Approximately 3 in 10 people taking SurveyMonkey surveys in the U.S. do so on a smartphone or tablet.

Here’s a quick checklist to ensure your survey is mobile-optimized:

Avoid jargon, technical terms, or complex language that might confuse respondents. Ensure each question is clear and focused on one topic at a time to avoid ambiguity.

Craft questions that do not lead or influence respondents towards a particular answer. Instead of asking, "How great was your experience with our customer service?" ask, "How would you rate your experience with our customer service?"

Sprinkle in some open-ended questions alongside your numerical ones. Such a combination allows respondents to provide additional context or elaborate on their responses. This can uncover valuable insights and enrich your data.

We can all benefit from someone proofreading our work. Surveys are no exception.

Share your survey with colleagues, friends, family, and anyone else who has a vested interest in its success before you send it. Who knows? They might be able to help you spot errors or areas for improvement!

It is important to know which survey question type to use and when to leverage it. Once you’re familiar with different survey questions, you’ll be able to focus on what you need from respondents, resulting in far better data.

Before launching your survey, pretest questions with a small sample of respondents to identify any issues with wording, comprehension, or response options. Use feedback to refine and improve your questions.

Ready to level up your survey game? Dive into our template gallery, where we've curated a collection of expertly designed surveys and survey questions to help you gather valuable insights and make informed decisions.

Whether you're exploring customer satisfaction, employee engagement, or market research, we've got you covered with a variety of templates to suit your needs.

Net Promoter, Net Promoter Score, and NPS are trademarks of Satmetrix Systems, Inc., Bain & Company, Inc., and Fred Reichheld.