If someone has already followed a link to a survey, they had some initial motivation to participate. In most cases, they lose interest while completing the form. The reason is simple: the survey turns out to be too long, inconvenient, or confusing.
According to research into UX and user behavior, form completion is affected by more than just the number of questions. The order of the fields, clarity of the interface, mobile optimization, trust in the form, and even the sense of progress all matter. Several small mistakes can significantly reduce the percentage of completed responses.
Let us examine eight of the most common UX mistakes that cause companies to lose valuable feedback.
The most common mistake is trying to learn everything about the user at once. Marketers want to collect as much information as possible: age, position, income level, impressions of the purchase, preferences, ideas for improving the product, and likelihood of making another purchase. It may seem that once a person has opened the form, the opportunity should be used to its fullest.
The situation looks different from the user’s perspective. They open the questionnaire and see several dozen questions. Even if completing it would take only seven or eight minutes, a long form creates the impression of a demanding task. Many people decide to close it before they even begin. This effect is especially noticeable on mobile devices. Endless scrolling makes it feel as though the questionnaire will never end.
How can this be fixed? Start by answering a simple question: which data is genuinely necessary for making decisions, and which data can you do without? After reviewing the survey this way, companies often discover that a third of the questions can be removed without reducing its value.
If you still need to collect a large amount of information, it is better to divide it into several consecutive surveys linked to different stages of the customer journey. For example, after delivery, ask only about the delivery experience, and a few weeks later — ask about the product or service itself.
The first questions determine whether a person will complete the survey. Sometimes a form begins with questions that require effort or make the user cautious:
Questions like these increase cognitive load within the first few seconds. The user does not yet understand why this information is required and may decide not to continue.
A gradual engagement approach works much better. Begin with one or two very simple questions that can be answered in just a second. Then move on to questions that require a little thought. Contact details, if they are genuinely necessary, are best placed closer to the end of the form.
This approach reduces the likelihood of abandonment and helps users become psychologically engaged in the process.

A red asterisk next to a field tells the user that they cannot continue without answering. When only one or two questions are required, this is usually accepted without concern. However, if an asterisk appears next to almost every field, the form begins to feel like an interrogation. Users react particularly negatively to required open-ended questions. Writing a detailed comment requires much more effort than selecting an answer or giving a rating.
Before launching the form, review every required field and honestly ask yourself: what will happen if the user skips it? If the answer is «nothing critical», the field can most likely be made optional.
Another way to reduce the number of required questions is to use conditional logic. For example, ask only users who gave a low rating to describe the problem in detail. Other respondents do not need to see this question at all. As a result, the form becomes shorter, while the quality of the responses often improves because people answer only questions that are genuinely relevant to them.
Imagine two situations. In the first, a person opens a form and does not know how many questions lie ahead: five or fifty. In the second, they see a progress indicator and understand that they have already completed half of the survey.
The likelihood of completion is noticeably higher in the second case. This is explained by the way people perceive progress. When a goal seems clear and achievable, it is easier to finish what has been started. Uncertainty, on the other hand, reduces motivation. That is why longer forms should include a progress indicator. It shows how many steps have already been completed and how many remain.
However, moderation is important here as well. If a form contains only three short questions, a progress bar may be unnecessary. It becomes useful when completing the form genuinely involves several stages.
Today, most users open emails, messaging apps, and websites on their smartphones. If a survey link is sent after a purchase or a support request, the likelihood that the person will respond from their phone is even higher.
Despite this, many forms are still designed as though they will only be completed on a computer.
Common problems include:
Every such inconvenience requires additional effort. The user begins zooming in, misses interface elements, goes back, and gradually loses the desire to continue.
Before publishing the form, complete it yourself on a phone. It is even better to test it on several devices with different screen sizes. Problems often become noticeable only during actual completion.
If a significant share of your audience uses smartphones, the mobile version should be treated as the primary version rather than an additional one.
People are more willing to share information when they understand how it will be used. For example, the question «Specify the size of your company» may be confusing on its own. The user does not know why the company needs this information and may decide that the question is unrelated to the survey.
A short explanation creates a completely different impression:
«We adapt our recommendations for companies of different sizes»
Consider another example.
Instead of asking:
«Leave your phone number»
It is better to explain:
«Leave your phone number if you would like us to help resolve the issue or clarify the order details»
One sentence is often enough to remove uncertainty.
The same applies to open-ended questions. If a company asks users to describe a problem in detail, it should explain how this information will be used. For example: «Your comment will help us understand the reason for the low rating and improve our service.» Explanations like these add very little to the length of the form, but make it clearer and inspire greater trust.
Even a perfectly designed survey may be closed if it looks suspicious.
There may be several reasons:
Users evaluate a form within just a few seconds. If they have doubts, abandoning it feels like the safer option.
Simple elements can help build trust:
Another important point is not to request data that the company already has. If the customer is signed in or has followed a personalized link, there is no reason to ask for their name, order number, or email address again.
Even a relatively short survey may look overwhelming if the user immediately sees a long page containing dozens of fields. Psychologically, several small steps feel easier than one large questionnaire.
That is why many services use multi-step forms. The user answers a small group of questions, moves to the next step, and gradually approaches completion. However, a form should not be divided merely for the sake of dividing it. If a questionnaire contains three questions that fit on one screen, additional steps will only increase the number of actions required.
A multi-step form makes sense when there are genuinely many questions or when they cover different topics. For example, the first step may collect general information, the second may evaluate service quality, and the final step may invite the user to leave a comment. This scenario feels much easier than one long page, even though the number of questions remains the same.
Before publishing a form, it is useful to view it from the user’s perspective. Check it against the following list:
If the answer to even two or three of these questions is no, the form should be improved before launch.

Most mistakes are related not to the content of the questions but to how the form itself is structured. That is why it is easier to address them during the design stage.
QForm allows you to create multi-step forms that divide a long survey into several consecutive screens. Users answer only a small group of questions at a time, so the form feels easier to complete and does not look overloaded.
To avoid showing the same questions to everyone, use conditional logic. For example, if a customer gives a high rating, the form can end immediately or invite them to leave a review. If the rating is low, additional questions can be displayed to identify the reason. This approach reduces the number of unnecessary fields and makes the survey shorter for each individual user.
After launching the form, it is important not only to collect responses but also to understand how users interact with the survey. QForm includes built-in analytics and data processing tools, while results can be viewed, filtered, and transferred to a CRM or other systems through integrations. This makes it possible to analyze the feedback received and use it in the company’s future work.
To learn how to analyze form effectiveness after launch, read our guide to QForm’s built-in analytics and working with collected responses.
A low survey completion rate is rarely caused by users being unwilling to answer questions. Much more often, the problem lies in the form itself.
Long questionnaires, an inconvenient mobile version, too many required fields, and a lack of logic and trust gradually reduce the desire to continue. Each issue may seem insignificant on its own, but together they can noticeably reduce the number of responses received.
That is why a good survey begins not with the questions but with designing the user experience. When a form helps people reach the end quickly, the company receives more data and users do not perceive the survey as yet another obligation.
Modern form builders are designed specifically to address these challenges. Multi-step scenarios, conditional logic, analytics, and automation can improve the user experience without making the questionnaire itself more complicated. As a result, both sides benefit: the survey becomes easier for users to complete, while the business receives more complete and higher-quality feedback.