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Multi Choice

The Multi Choice component displays a list of options where respondents can select exactly one answer. Using radio button-style selection, it’s designed for mutually exclusive choices where only one option can be true.

Multi Choice is ideal for:

  • Yes/No questions
  • Single-answer survey questions
  • Preference selection
  • Rating categories (Excellent/Good/Fair/Poor)
  • Any question where only one answer is valid
  1. Open your form in the editor

  2. Drag the Multi Choice component from the left sidebar onto your form

  3. Click the component to select it and configure its settings

  4. Add your options in the settings panel

The main question or prompt displayed above the options.

Tips for effective labels:

  • Ask a clear, specific question
  • Make it obvious that only one answer is expected

Examples:

  • “What is your preferred contact method?”
  • “How satisfied are you with our service?”
  • “Which plan best fits your needs?”

Optional helper text that appears below the question label.

When to use descriptions:

  • To provide context for the options
  • To clarify what each option means
  • To guide the selection decision

Examples:

  • “Select the option that best describes your situation”
  • “Choose based on your primary use case”

The list of choices available for selection.

To manage options:

  • Click to add new options
  • Drag to reorder options
  • Click the delete icon to remove options
  • Edit option text directly

Tips for options:

  • Keep options mutually exclusive
  • Use parallel structure in option text
  • Order logically (best to worst, most to least, etc.)
  • Limit to 5-7 options for best usability

Choose how options are labeled:

VariantDisplayBest For
Number1, 2, 3, 4…Ordered lists, rankings
AlphabetA, B, C, D…Quiz-style questions

Toggle to display options in a random order each time the form is loaded.

When to use randomization:

  • To prevent order bias in surveys
  • For research where response patterns matter
  • When no logical ordering exists

When NOT to use randomization:

  • When options have a natural order (e.g., satisfaction scales)
  • When users expect a specific sequence
  • For Yes/No questions

Toggle whether a selection must be made before the form can be submitted.

When enabled:

  • An asterisk (*) appears next to the question label
  • Users must select an option to submit
  • A validation message appears if no selection is made

Keep options mutually exclusive. Each option should be clearly distinct. If options overlap, respondents may be confused about which to choose.

Use logical ordering. For scales (satisfaction, frequency), order from positive to negative or high to low consistently.

Limit the number of options. More than 7 options can be overwhelming. If you need more, consider a dropdown.

Include “Other” carefully. If you add an “Other” option, consider pairing it with a follow-up text field.

Randomize for unbiased results. In surveys, the first option often gets selected more. Randomizing helps prevent this bias.

Match the variant to context. Use numbers for ordered scales, letters for quiz-style questions.

AspectMulti ChoiceDropdown
VisibilityAll options visibleOptions hidden until clicked
Best for2-5 options5+ options
InteractionSingle click to selectClick to open, then select
SpaceTakes more vertical spaceCompact
ScanningEasy to compare optionsMust open to see options

When multi choice is marked as required:

  • One option must be selected before submission
  • A validation message appears if submitted without selection
  • The component is highlighted to draw attention

The Multi Choice component is built with accessibility in mind:

  • Proper radio button group semantics
  • Keyboard navigation (Arrow keys to move, Space to select)
  • Screen reader compatible with proper labeling
  • Focus states are clearly visible
  • Labels are clickable to select options

Multi choice responses in your form results:

  • Show the selected option text
  • Can be filtered by selection
  • Are included in exports
  • Allow analysis of response distribution

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