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Survey question examples · Multiple-choice questions

Multiple-choice survey question examples

Make answer choices clear, mutually exclusive when single-select, and complete enough to fit respondents. These examples include wording, response choices, use notes and a bias to watch for.

Free to useExamples are editorial guidance, not validationUpdated

Category used most often

Which one of these [categories] have you used most often in the past month?

Response choices or scale

  • [Category A]
  • [Category B]
  • [Category C]
  • Another category
  • I have not used any

Single select; adapt choices to the market and keep the time period consistent.

When to use it
When one main category or behavior is needed for a simple segment.
Bias to avoid
Overlapping or incomplete choices. Test every pair for overlap, add an appropriate other/none option and randomize order where order is not meaningful.
Source
Illustrative wording based on common survey practice; choices must fit the study population. This is illustrative common practice, not a validated standard.

How to adapt these examples

Use bracketed text to name the product, experience or time period. Keep each question focused on one idea, offer an honest way to answer or skip, and pretest it with people from the intended audience. A change to wording or choices can change what is measured.

More survey question types

Browse the complete survey question bank →

Frequently asked questions

When should I use multiple-choice survey question examples?

Make answer choices clear, mutually exclusive when single-select, and complete enough to fit respondents.

Should I copy these examples word for word?

Treat them as starting points. Replace bracketed text for your audience, pretest the wording and keep the answer choices appropriate to the decision.

Are these questions validated or benchmarked?

The examples labelled common practice are not psychometrically validated standards and this library does not provide benchmarks. Test questions with the intended audience before relying on results.

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