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Creating a Practical Survey: How to Polish Your Survey Design

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Creating a Practical Survey: How to Polish Your Survey Design

SurveyMonkey provides you the tools to create a survey, collect responses, and analyze the data. Take your design experience a step further by using specific features to fine-tune your survey presentation. A clean design makes it easier for your respondents to navigate through your survey, know who you are, and understand what is expected of their answers.

You can create a standard design from scratch or use one of our templates. Once you have the initial draft created, enhance the look and functionality by using:

  • Design options: edit comment box sizes, indent or add space, and use HTML.
  • Validation options: require or validate responses and customize your error messages.
  • Customization options: choose background colors, customize navigation button text, and add a progress bar.

This blog highlights step 4 of our 7-step checklist for creating a practical survey design.

Design Options

A. Edit Question Size and Placement:

You have the ability to edit comment boxes, add spacing around questions, indent them, place them side by side, and control the amount of space reserved for the label and the answer choices. This is all accomplished under the Question Size and Placement feature inside the question editor. To learn more, check out the  following topics in our Help Center:

 

B. Use HTML:

If you wish to have specific parts of the survey stand out, use HTML to add elements like bold and underline. Simply type the code (or HTML tags) into places of the survey design where you can enter text for questions, page descriptions, answer choices, Email Invitation messages, and Thank You page collector settings.

To learn more about HTML and how to enable it in your account, visit the following: How to use HTML in SurveyMonkey.

Validation Options

A. Validate or Require Answers:

Text Validation: Add a validation requirement to comment boxes to limit character types, text length, or require an email format. This can help you control how the comments are entered by respondents. To learn more, visit the following FAQ: Can I validate open-ended responses?

Required to Answer: You can make all questions mandatory by using the Require to Answer feature. This will require that all respondents answer the question before they can move onto the next page. An error message will appear if a respondent tries to skip a required question. To learn more, visit the following FAQ: How can I make questions mandatory?

 

B. Customize Error Messages:

There are several places within the question editor where we provide a simple default error message. It’s a best practice to edit the error message based on the specific question when requiring a response or validating text.

For example, let’s say you create a question asking your respondent to enter an email address and set the Text Validation to must be an email address. If you leave the default error message stating the comment is invalid, your respondent may not understand what this means. It is best to edit the error message so your respondents know what is expected of the answer, such as:

Customization Options

Adding final touches to your overall survey design allows you to brand the design and polish the look. Simple customizations can make it easier for your respondents answer your survey:

For an embedded survey example of a design using all of these techniques, visit the first blog post in this series: 7 Practical Steps to Create an Effective SurveyMonkey Survey.

If you have best practices you rely on to create a polished survey or have questions on the tips in this post, let us know in the comments below.

 

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  • Wayne Stansbury

    I just did a Survey Monkey survey and I got back alot of Neutral repsonses

    I had a 5 point Likert scale form Extremely Satisfied to Extremely Disaatisfied

    Assuming that my survey questions were valid, what would be som,e of the reasons why I would get so many Neutral responses?

    • Phil G

      Some things to consider:

      1. Was the questionnaire too long?
      2. How were the scales presented?
      3. Was the satisfaction construct over used? In other words, satisfaction can be seductive and easy to use, but not always the best construct. So if I ask are you satisfied with the length of your child’s school day, what I really mean is to ask whether it’s too long, too short, or about right. Satisfaction is a poor proxy for detailed information in many cases.

      So, when respondents are burdened by undifferentiated response options and they don’t really fit on top of that, they can start to satisfice (see blog post).

      Phil

  • Michal PCC

    Zakładając, że moje pytania ankiety były papiery wartościowe ważne, co będzie som, e z powodów, dlaczego chciałbym dostać tak wiele Neutral odpowiedzi?

  • kaytek

    Hello! Jakie badania masz wysyłanie? Czasami ludzie nie odpowiedzieć i podjęcia badań różnie, w zależności od tematu.

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