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How to Create SurveyMonkey for Selecting a Date

Updated on:
May 12, 2026
By:
Madhav Bhandari
Use this interactive demo to learn how to add a Date/Time question to your SurveyMonkey survey.

Quick summary

The SurveyMonkey Date/Time question lets you collect structured date and time responses from survey participants with built-in format validation. This feature is ideal for scheduling, event planning, and any use case where gathering specific date preferences from respondents is required.


Steps

  1. Go to the Build section from the left-hand menu of your survey editor.
  2. Drag and drop the Date/Time question type or click Add to insert it into your survey.
  3. Enter your question text in the provided field.
  4. Enter a row label that will appear just above the date/time input textboxes.
  5. Use the + or - icons to add or remove rows as needed.
  6. Choose whether to collect Date Info, Time Info, or both.
  7. If collecting Date Info, select your preferred date format: MM/DD/YYYY or DD/MM/YYYY.
  8. Customize the date validation message to guide respondents who enter an incorrect format.
  9. Click the Tab icon to configure any additional question options.
  10. Enable the required answer checkbox to make the question mandatory for all respondents.
  11. Click Save to apply all your question settings.
  12. Your Date/Time question is now ready to efficiently gather date preferences from participants.

📌 Why this matters

Adding a Date/Time question in SurveyMonkey enables teams to collect structured, validated date and time responses directly within a survey — eliminating messy free-text entries and manual data cleanup. This feature is especially valuable for event organizers, HR teams, and project managers who need to schedule across large groups or capture availability at scale. Built-in format validation and customizable error messages ensure respondents enter data correctly, improving response accuracy and completion rates. By streamlining how you gather date preferences, SurveyMonkey helps you make faster, data-driven scheduling decisions without any back-and-forth.
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