Have you ever wondered why some questionnaires provide valuable and detailed feedback, while others leave only a bunch of scattered information? Questionnaire design, especially in the field of user experience (UX) research, is more than just a few simple questions. This powerful tool can be a bridge between you and your users, provided it is designed correctly and targets key questions well.
You may be wondering: How do I design a questionnaire that users answer? What types of questions should I ask to collect useful and analyzable data? Or even how can I make sure users understand the questions correctly?
In this article, we will tell you all the tips you need to design a professional and effective questionnaire. From determining the purpose of the questionnaire to structuring the questions, increasing the response rate, and analyzing the data. If you are looking to design a questionnaire that provides accurate and valuable information to improve the user experience, don’t miss this guide!
Table of Contents
Definition and Importance of UX Questionnaire
A questionnaire is one of the key tools in user experience research that helps the UX researcher get real and accurate feedback from users. This structured tool is a set of questions that are purposefully designed to collect information about the experiences, needs, and expectations of users. Questionnaires can not only provide an overall picture of the user experience but also help uncover hidden patterns and problems.
Questionnaires play an important role in collecting both quantitative and qualitative data in user experience research. Quantitative data, through closed-ended questions, such as rating scales or multiple-choice questions, gives you specific numbers to analyze. On the other hand, open-ended questions give you more in-depth qualitative information about the feelings and perspectives of users. Combining this data provides a comprehensive view of how users interact with the product or service.
“A questionnaire is a simple but powerful tool that, when properly designed, can open a window into the needs, expectations, and feelings of users and illuminate the path to improving their experience.”
Advantages of using questionnaires in UX research
Using questionnaires in user experience (UX) research has several advantages that have made it a popular and efficient tool:
- Speed and cost-effectiveness
Questionnaires allow the UX researcher to collect information from a large number of users in a short period. Designing and distributing questionnaires, especially online, is much less expensive than other methods such as face-to-face interviews or focus groups.
- Access to a wide range of users
Using online questionnaires, you can easily receive feedback from users from different geographical areas. This advantage is especially valuable for products that have diverse users.
- Combining quantitative and qualitative data
Questionnaires allow for the simultaneous collection of numerical data (through closed-ended questions) and descriptive data (through open-ended questions). By combining quantitative and qualitative data, in-depth insights and overall patterns of user behavior are identified.
- Easy data analysis and comparison
The information collected through a questionnaire can be easily analyzed and compared. You can use data analysis software to find patterns, trends, and correlations, and get tangible results to improve the user experience.
- Flexibility in design
Questionnaires can be designed to suit the needs of the project. From simple multiple-choice questions to Likert scales and open-ended questions, they allow you to design a variety of questions that help you get the best feedback from users.
- Create a sense of comfort for users.
Some users may not feel comfortable in face-to-face interviews. Questionnaires provide an informal and pressure-free environment, allowing for more honest feedback.
Questionnaire design goals
To design an effective questionnaire in UX research, the first step is to clearly define its purpose. The questionnaire’s purpose is your roadmap for designing the questions and analyzing the results. A questionnaire that doesn’t have a clear purpose is likely to produce irrelevant and unusable data. For this reason, you should first understand why you are designing the questionnaire and what information you are going to get from it.
The purpose of a questionnaire varies based on the needs of the project. Some questionnaires are designed to assess user satisfaction, while others may be designed to identify usability issues. You may also want to get feedback on a new feature or gain a deeper understanding of users’ needs and expectations. Specifying this purpose will help you design more specific questions and collect data that directly contributes to improving the user experience.
As a result, a good questionnaire always aligns with the overall goals of the UX project. For example, if your project focuses on improving usability, the questions should address the problems users have with interacting with the product. If your goal is to improve users’ emotional engagement with the product, you should design questions that explore their feelings and opinions. This alignment between the purpose of the questionnaire and the project objectives makes the data collected directly usable.
Knowing the audience of the questionnaire is also an important part of setting the goal. If your target users are beginners, the questions should be simple and understandable. However, if the questionnaire is designed for professional users, you can ask more specific and specialized questions. It is also better to define the indicators of success of the questionnaire in advance, such as a high response rate or analyzable data.
“Designing a questionnaire with a specific and relevant purpose ensures that your efforts lead to useful and meaningful results. A clear purpose not only simplifies the path of designing questions but also ensures that the data collected is valuable and applicable.”
The main parts of the questionnaire
A good and effective questionnaire should have a logical and clear structure so that users can easily answer it. Designing the appropriate structure will prevent users from feeling confused and the required information will be collected more accurately.
Part One: Introduction
The introduction is one of the most important parts of the questionnaire because it forms the first impression of the users. This section should clearly explain the purpose of the questionnaire and highlight the importance of users responding. The introduction should clearly state things like:
The overall purpose of the questionnaire,
The time required to respond,
The confidentiality of the information,
How the collected data will be used. The tone of the introduction should be friendly and professional so that users feel comfortable.
Part 2: Core Questions
This section is the heart of the questionnaire and includes questions that will help you collect the information you need. Core questions should be varied and include the following:
Closed questions: To collect quantitative data (such as yes/no, multiple choice, or Likert scale).
Open-ended questions: To get users’ perspectives and in-depth explanations.
Make sure the questions are asked clearly and unambiguously.
Part 3: Demographic Information (if needed)
If necessary, the questionnaire should include a section to collect demographic information about users, such as age, gender, geographic location, or experience level. This information will help you analyze the results based on different user groups.
Question Order in the Questionnaire
The order of questions in the questionnaire is very important, as it affects the overall user experience:
- Start with general questions: Start the questionnaire with simple and general questions that users can answer without having to think too much. This will create a more comfortable feeling for users.
- Move to more specific questions: After the general questions, gradually move into more detailed and specific questions. This will make users more prepared to answer more complex questions.
- End with open-ended questions: Place open-ended questions at the end of the questionnaire so that users can express their views and suggestions if they wish.
Types of Questions in a UX Survey
The choice of question types in a survey has a direct impact on the quality of the data collected. Each type of question serves a specific purpose and should be chosen to meet the needs of the research. Below, we explain the types of questions and their uses.
1. Closed Questions
Closed questions provide the user with specific options for answers and are usually used to collect quantitative data. These questions are easier to analyze and compare and have a higher response rate because users do not need to provide long answers.
Examples:
Likert Scale: Ask users to rate their level of satisfaction or agreement on a scale (for example, from 1 to 5 or 1 to 7).
Example: “How much do you agree with the following statement? The user interface of this application is simple and user-friendly.”
Multiple Choice Questions: Limit users to choosing one or more options from a set of options.
Example: “What do you use this app for most? (Select one)”
Pros:
Quick and easy analysis.
Suitable for surveys with a large number of respondents.
Reduces the possibility of ambiguity in the answers.
2. Open-ended questions
Open-ended questions allow users to freely express their opinions, experiences, and perspectives. These questions are very useful for collecting qualitative data and discovering deep insights from users.
Examples:
“What is the biggest problem you have encountered while using this app?”
“What features can improve your experience using the product?”
Pros:
Provides rich and accurate information.
Ability to uncover points that may not be covered in closed questions.
Better understanding of users’ feelings and needs.
Challenges:
Analyzing text data is time-consuming.
Users may be less motivated to answer open-ended questions.
3. Combining Closed and Open-Ended Questions
Combining closed and open-ended questions is an effective way to collect both quantitative and qualitative data at the same time. With this approach, you can get a general yet more detailed view of your users’ needs and opinions.
Key Points in Designing UX Questionnaires
Designing the right questions for your questionnaire is one of the most critical steps in collecting reliable and useful data. If the questions are not designed properly, you may end up with incomplete, misleading, or unanalyzable data. In this section, we will discuss the key points for designing clear, effective, and user-friendly questions.
1. Design clear and simple questions
The simplicity of questions is the foundation of a successful questionnaire. Questions should be designed in a way that all users, regardless of their level of knowledge or experience, can understand them. Avoiding the use of technical terms, complex phrases, or multi-layered questions increases the likelihood of more accurate responses.
Inappropriate example:
“To what extent have you interacted with the UX design process in complex applications?”
Appropriate example:
“Have you ever used an application with a complex design?”
2. Use your users’ natural language
Knowing the language and culture of your target users will help you design questions that make them feel more comfortable. Using phrases that users use in their daily lives will help increase response rates.
Tip: If your questionnaire is designed for a multilingual group, the language of the questionnaire should be chosen or translated in a way that is understandable to all users.
3. Avoid leading or misleading questions
Questions should not be designed in a way that leads the user to a specific answer. Leading questions not only produce incorrect data but also create a sense of distrust in users.
Inappropriate example:
“How satisfied are you with this application that is very useful and fast?”
Good example:
“Please rate your satisfaction with this app.”
4. Optimize questions and limit their number
One of the most common mistakes in questionnaire design is asking too many questions. A long questionnaire can fatigue users and reduce response rates. Questions should be short, relevant, and in line with the main purpose of the questionnaire.
Tip: Before finalizing the questionnaire, review each question and ask yourself: “Is this question necessary to achieve the main purpose?”
5. Mix closed and open questions correctly
To collect more comprehensive data, it is better to use a combination of closed and open questions. Closed questions help you collect quantitative and comparable data, while open questions help uncover deeper insights.
Techniques to increase questionnaire response
One of the major challenges in using UX questionnaires is to capture users’ attention and encourage them to complete the questionnaire in full. Following the tips below can significantly increase response rates and help you collect high-quality data.
1. Clearly state the purpose of the survey
When designing the questionnaire, explain what the purpose of the survey is and how the data collected will be used. Users should know that their responses are important to improving the user experience and the product.
Example:
“We are looking to collect your feedback to improve the usability and performance of App A. Your comments will greatly influence the development of the next version.”
2. Ensure privacy
Many users may refrain from participating in a survey due to security or privacy concerns. Gain users’ trust by explaining how the information will be protected and the responses will be anonymous.
Tip: At the beginning of the survey, state:
“All your responses will be recorded anonymously and will be used for research purposes only.”
3. Use an attractive visual design
A survey with a simple and uncluttered design encourages users to complete it. Use visual elements like a progress bar to let users know where they are and how much time is left.
Tip:
Use colors and fonts that enhance readability and appeal.
Use a clean, uncluttered layout.
4. Keep the survey short and relevant
Users’ time is valuable. If the survey is too long, they’re more likely to abandon it. Ask only the necessary questions and avoid adding irrelevant questions.
Tip: Test the survey before publishing to estimate the time it will take to complete and let users know.
5. Offer rewards or incentives
If the situation allows, you can use small rewards or incentives to increase users’ motivation to complete the survey. These rewards could include:
Discounts on products or services.
Participation in a raffle.
Offering a gift code or in-app credit.
Tip: Even a friendly thank you message at the end of the survey can create a positive impression on users.
Online Tools for UX Survey Design
Online tools are one of the easiest and most efficient ways to design and distribute UX surveys. These tools allow you to create an attractive, professional, and user-friendly survey and analyze the collected data in detail. Here are some popular tools and their key features:
1. Google Forms
Free and easy to access.
Ability to use question types (multiple choice, text, slider, etc.).
Ability to display results in simple graphs and download data for advanced analysis.
Integrates with Google Sheets for big data analysis.
2. Typeform
Modern and attractive visual design.
Ability to display questions interactively (one question per page to reduce user fatigue).
Customization options to change colors, fonts, and style.
Provides detailed reports and the ability to integrate with other tools such as Slack or Zapier.
3. SurveyMonkey
A wide range of ready-made templates for all types of research.
Advanced analysis tools and detailed reporting.
Ability to target specific audiences and send questionnaires via email or direct link.
Advanced features in paid versions, such as comparative analysis and integration with CRM tools.
Suitable for organizational and professional research.
Provides features such as creating conditional logic (Skip Logic) to customize the path of questions.
Testing and revising the questionnaire
Before distributing the questionnaire to end users, you need to make sure that your questions are clear and accurately cover the research objectives. This step involves testing and revising the questionnaire, which helps prevent incomplete or incorrect data collection.
1. Initial testing with a small group
First, test the questionnaire with a small group of people, such as colleagues or early users. Why? This helps you see if the questions are understood correctly or if there are any problems such as being too long, repetitive, or difficult to answer.
How to do it:
Give the questionnaire to 5-10 people.
Collect their feedback on how the questions are understood and how easy it is to answer.
2. Identify and correct problems
After initial testing, revise the questionnaire to address any ambiguities or flaws:
Remove repetitive or irrelevant questions.
Shorten long sentences.
Use simple words and no jargon.
Check the logic of the questions (such as conditional questions) to make sure they work properly.
Tip: If respondents get bored with a question or drop it, you may need to simplify it or reassess its importance.
3. Final testing
After making your changes, test the questionnaire once again with another group. This step is essential to ensure that all problems have been resolved.
Questionnaire data analysis
Questionnaire data analysis is the process of transforming raw information into useful and actionable insights. Depending on the type of data (quantitative or qualitative) and the purpose of the research, there are different analysis methods Here’s how you can do it.
Quantitative data analysis
Quantitative data usually involves numbers and values that are easy to measure and compare, such as scores or percentages.
How do we analyze quantitative data?
Sort and categorize: Group responses by question.
Calculate metrics: Calculate the mean, median, and percentages to identify overall patterns.
Example: If the average user satisfaction score is 7 out of 10, it indicates that the situation is acceptable, but there is room for improvement.
Identify trends: Display data on graphs, such as bar charts or pie charts, to see trends and differences.
Compare groups: If responses are collected from multiple different groups, compare their performance.
For quantitative data analysis, tools like Google Sheets, Excel, or more advanced tools like SPSS or Tableau can help you.
2. Analyze Qualitative Data
Qualitative data usually includes comments, descriptions, and text feedback. This data helps you understand users’ feelings and perspectives.
How to analyze qualitative data?
Comment Categorizing: Group responses into themes or patterns.
Example: If users complained about “slow speed,” consider this as one of the main categories.
Identify keywords: Look for phrases that are repeated multiple times. These words usually indicate the main concerns of users.
Prepare a summary: For each category, write a summary that reflects the overall perspective of users.
Deep analysis: Look for the root causes of problems and opportunities for improvement.
To analyze qualitative data, you can use manual methods or tools like NVivo and Atlas. tTi