Why Question Type Matters
Every question type produces a different kind of data. Multiple choice gives you categorical counts. Rating scales give you averages. Open-ended gives you qualitative themes. Using the wrong type means you collect data you can't analyse — or miss insights you needed.
Untold Opinion's AI survey builder automatically selects the most appropriate question type for each piece of information you need — but understanding the options helps you review and refine the output.
The 8 Main Survey Question Types
Multiple Choice (Single Answer)
When to use: When respondents should pick exactly one option.
Example: "Which device do you use most often?" → Desktop / Mobile / Tablet
Key insight: Easy to answer, easy to analyse, works for most categorical questions.
Checkboxes (Multiple Answer)
When to use: When respondents can select more than one option.
Example: "Which social platforms do you use?" → Select all that apply.
Key insight: Captures multi-dimensional behaviour. Avoid when you need a single definitive answer.
Rating Scale (1–5 or 1–10)
When to use: Measuring satisfaction, quality, or agreement on a numeric scale.
Example: "How satisfied are you with our service?" → 1 (Very dissatisfied) to 5 (Very satisfied)
Key insight: Produces quantitative data that's easy to average and track over time.
Likert Scale
When to use: Measuring agreement or frequency across a spectrum.
Example: "I would recommend this product." → Strongly Disagree / Disagree / Neutral / Agree / Strongly Agree
Key insight: Captures nuance in opinions. Best for attitude and perception questions.
Net Promoter Score (NPS)
When to use: Measuring customer loyalty and likelihood to recommend.
Example: "How likely are you to recommend us to a friend?" → 0–10 scale.
Key insight: Industry-standard metric. Produces a single comparable score over time.
Open-Ended (Text)
When to use: When you need qualitative insights that can't be captured by fixed options.
Example: "What could we improve about our onboarding experience?"
Key insight: Reveals unexpected insights. Use sparingly — they reduce completion rates.
Dropdown
When to use: Long lists of options (countries, industries, job titles) where checkboxes would be unwieldy.
Example: "Which country are you based in?" → Dropdown list of 200 countries.
Key insight: Saves space on long option lists. Slightly higher cognitive load than radio buttons.
Matrix / Grid
When to use: Rating multiple items on the same scale in one compact question.
Example: "Rate each feature: Speed / Design / Support" → Poor / Fair / Good / Excellent
Key insight: Efficient for comparing multiple items. Can cause "straight-lining" — use sparingly.
Which survey question type do you find hardest to write well?
249 votes so far · Click an option to vote
Quick Reference: Choosing the Right Type
| Goal | Best Question Type |
|---|---|
| Measure satisfaction | Rating scale or NPS |
| Understand preferences | Multiple choice (single) |
| Capture all that apply | Checkboxes (multiple) |
| Measure attitudes | Likert scale |
| Get qualitative insights | Open-ended text |
| Compare multiple items | Matrix / grid |
| Collect from a long list | Dropdown |
Let AI choose the right question types for you
Describe your survey goal and AI generates questions with the optimal type for each — free, no account needed.
Create with AI Manual Builder