Ultimate guide to open-ended survey questions (with examples)
Open-ended questions are questions respondents answer in their own words rather than choosing from fixed options like yes/no or multiple choice. They’re used in , interviews, and research sessions to gather qualitative data—the reasons, motivations, and context behind what people do.
This guide explains when to use open-ended questions, how to write them well, and how to analyze the answers, with examples you can adapt for customers and employees.
What are open-ended questions?
An open-ended question asks people to respond in a free-text format based on their knowledge, feelings, or opinions. It can’t be answered with a short, fixed response like yes or no. Teams typically use open-ended questions to gather qualitative data that helps improve products or the overall customer experience.
The best open-ended questions are concise without leading the respondent. Phrase questions briefly and clearly and you’re more likely to get relevant answers. Load them with extra information and you’ll get biased answers that offer little value.
For instance, reminding customers of the product they buy most before asking what their favorite product is will likely produce a response that repeats the question. Similarly, phrasing questions too positively can mean you never receive the negative feedback that would be pivotal in improving your products or services.
Open-ended vs closed-ended questions
Surveys may use open-ended questions, closed-ended questions, or a combination of both. Both types gather valuable data, but they serve different purposes.
Open-ended questions invite respondents to give feedback in their own words. Closed-ended questions gather a measurable response by only allowing specific answers—usually a yes or no, or a multiple-choice selection.
When to ask open-ended questions
Open-ended questions aren’t ideal for every situation. They work best in the following circumstances.
When surveying a small audience
Since open-ended questions require respondents to answer in their own words, every answer is unique. Limiting these questions to small audiences makes the data easier to structure and analyze.
When surveying experts
Open-ended questions give experts room to present and explain their knowledge and opinions. You’d still limit the number of respondents to keep analysis manageable.
When conducting preliminary research
Open-ended questions help you learn what satisfies your customers. Use them in early qualitative research about new product ideas or improvements to existing products or services.
You can then use what you learn to develop closed-ended questions for a larger follow-up study.
When conducting a survey
Open-ended questions work in all types of surveys, either alongside closed-ended questions or as standalone questions that gather specific information. They’re great for learning more about or .
When conducting qualitative sessions
Open-ended questions suit all . You can cross-examine the insights against closed-ended questions from . Open-ended questions are great for learning more about:
- Customer motivations
- Hidden opportunities
- The “why” of your quantitative results
How to ask open-ended questions for surveys
When phrasing your open-ended questions, think about which questions will provide the most useful information for your purpose. The trick is asking a question whose response gives the right level of insight without being impossible to analyze later.
When developing open-ended questions for surveys, consider two things:
- How do you start an open-ended question? Terms like How, Why, and What ensure the answer can’t be a simple yes or no.
- How do you present open-ended questions? Context determines this, and the way you present questions can help decrease non-response rates.
To avoid reading thousands of potentially lengthy responses, limit the number of respondents. Consider these ways to use open-ended questions.
Transform closed questions into open-ended ones
Think about the questions you typically ask your customers. Do they usually yield only yes or no answers? More importantly, do those answers provide the information you need?
Now consider whether an open-ended question would have given you more. If you ask a customer whether they like a new product and they say yes, you have limited information. Ask what they like about the product, and you’ll get data you can apply to other products and services.
If you ask a closed-ended question, follow it up with an open-ended one
In some cases, you can add value to a closed-ended question by following it with an open-ended one. When you ask if a customer likes a new product, following up with “why or why not?” gives you useful information for potential improvements.
If you have a specific product goal, make both questions more targeted. For example, “Do you think the new product is easier to use?” can be followed with “What improvements would help?”
Use open-ended questions to start a conversation that provides added insight
Much of the value of open-ended questions comes from seeing another perspective. Unexpected answers often contain creativity and vision you wouldn’t find elsewhere. When those answers generate usable ideas, they can help propel business growth.
Examples of open-ended questions
Developing the right open-ended questions for your audience takes care. Questions that are too vague lead to answers with little useful information, while overly targeted questions become leading questions that generate formulaic responses.
These five examples are easy to use in a variety of situations and can help you learn more about your customers:
- What are the main reasons you chose our product/service?
- How would you describe your experience with us?
- What is the most important feature of our product/service? Why?
- What changes would most improve our product?
- What do you hope to get out of our product/service?
Open-ended questions also work in the workplace to improve company performance, and services, and improve the .
Consider how these questions can give you more insight into how your employees feel:
- What can we do to improve ?
- How would you feel if we changed our benefits package?
- How would you describe our workplace culture?
Open-ended questions like these can also fuel sessions:
- What are the elements of a good team meeting?
- What is the biggest flaw in our product?
- What do you think is the best solution?
How to analyze the results from open-ended questions
Open-ended questions are designed to yield individual responses. While these answers can offer real value, it’s challenging to contextualize the answers of many people in a usable direction.
Large volumes of are harder to work with than quantitative data. However, the right tools can help you uncover insights from large groups of responses across all kinds of customer touchpoints.
Collect and structure your responses
Open-ended questions at scale are hard to manage, but a small enough sample size or the right tools make it workable. The information you receive from your survey should be in a clear, structured format you can export as a CSV or Excel file.
If you don’t have tools to analyze large , keep your samples small and group responses into categories with similar themes so they’re easier to analyze.
Use text analytics
Transforming the powerful contextual findings from qualitative studies into easily analyzable points isn’t easy. In theory, you could read every response to categorize valuable data and eliminate irrelevant responses—but that takes significant time and effort.
Automation can help you extract relevant data from open-ended questions. Different tools classify the data in various ways. For example:
- classifies survey responses as positive, negative, or neutral
- Aspect-based sentiment analysis goes further, showing which aspect of your product customers mention positively or negatively
- Topic analysis classifies responses by category, topic, or feature
Visualize your results
Visualization tools let you see your survey results in the format that best fits your needs. Different departments can use the same survey data in different ways. However, manually creating multiple visuals from open-ended responses is demanding and time-consuming.
Insights platforms can display the same data in several formats:
- Boards
- Canvas
- Tables
- Grids
- Lists
With these options, you can show detailed metrics to stakeholders in tables and display targeted grids to the sales team—all from the same data.
In summary
Open-ended questions allow businesses to gather qualitative data across various target groups to improve company performance. Once you understand how these questions work and the best ways to present them, modern tools let you analyze the responses almost as easily as quantitative data.
Using multiple question types increases the amount and variety of information you gather with each survey.
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