Multiple Choice Questions

Multiple choice questions allow respondents to select one answer from a list of predefined options. They’re the most commonly used question type for collecting quantifiable data.

When to Use

Multiple choice questions are ideal for:

Demographic questions - Age ranges, income brackets, education levels
Mutually exclusive options - Yes/No, satisfaction levels, frequency
Categorical data - Product preferences, department selection
Quick decisions - Simple preferences with clear choices

Adding a Multiple Choice Question

Click Add Question in the survey editor
Select Multiple Choice
Enter your question text
Add answer options
Configure settings

Configuration Options

Answer Options

Adding options:

Click Add Option for each choice
Type directly in the option field
Press Enter to add another

Managing options:

Drag to reorder
Click X to delete
Bulk add from list

”Other” Option

Allow respondents to provide a custom answer:

Toggle Add “Other” option
Optionally customize the label
Set character limit for text input

The “Other” response appears in results as a separate category with the text they entered.

Randomization

Reduce order bias by randomizing options:

Randomize all - Complete random order
Randomize except last - Keep “None of the above” at end
Randomize except first and last - Anchor specific options

Required Response

Toggle Required to prevent skipping. Respondents must select an option to continue.

Display Options

Layout:

Vertical list (default)
Horizontal row
Dropdown style

Columns:

Single column
Two columns
Three columns

Best Practices

Writing Good Options

Do:

Make options mutually exclusive
Use parallel grammatical structure
Cover all possible answers
Order logically (alphabetical, numerical, or by frequency)

Don’t:

Overlap answer ranges (e.g., “1-5” and “5-10”)
Use double negatives
Include more than 7-8 options
Lead respondents to a particular answer

Question Wording

Clear and specific:

Good: "How often do you exercise per week?"
Bad: "Do you exercise?"

Neutral tone:

Good: "Which feature is most important to you?"
Bad: "Which amazing feature do you love most?"

Option Examples

Satisfaction scale:

Very satisfied
Satisfied
Neutral
Dissatisfied
Very dissatisfied

Frequency scale:

Daily
Several times a week
Once a week
A few times a month
Rarely
Never

Agreement scale:

Strongly agree
Agree
Neither agree nor disagree
Disagree
Strongly disagree

Advanced Features

Skip Logic

Route respondents based on their selection:

Click Logic on the question
Select Skip Logic
Define rules: “If [option] is selected, skip to [question/page]”

Example: If “No” is selected for “Do you own a car?”, skip the vehicle questions.

Display Logic

Show this question only under certain conditions:

Click Logic > Display Logic
Set conditions based on previous answers

Piping

Insert the selected answer into later questions:

You selected {{Q1}}. Why did you choose this option?

Scoring (Quiz Mode)

Assign point values:

Enable Quiz Mode in survey settings
Click the star icon on the correct option
Set point value

Analyzing Results

Charts

Multiple choice results display as:

Bar chart - Compare response counts
Pie chart - Show proportions
Table - Detailed numbers

Metrics

Response count per option
Percentage distribution
“Other” responses listed separately

Filtering

Use multiple choice answers to filter other results:

In Analyze, click Filter
Select the question
Choose answer values to include

Cross-Tabulation

Compare with other questions:

How does satisfaction vary by age group?
Do preferences differ by department?

Common Use Cases

Customer Feedback

How did you hear about us?
○ Search engine
○ Social media
○ Friend or colleague
○ Advertisement
○ Other: ________

Employee Surveys

Which department do you work in?
○ Engineering
○ Marketing
○ Sales
○ Customer Support
○ Operations
○ Human Resources

Product Research

Which pricing plan interests you most?
○ Basic - $9/month
○ Professional - $29/month
○ Enterprise - $99/month
○ Not sure yet

Troubleshooting

Low Response Quality

Options may not cover all answers (add “Other”)
Question may be confusing (simplify wording)
Too many options (consider grouping)

Skewed Results

Check for leading question wording
Review option order (try randomization)
Ensure options are balanced

”Other” Overuse

If many respondents select “Other”:

Review if options are comprehensive
Consider adding common “Other” responses as options
May need to restructure question

Related articles: