25 Dichotomous Survey Questions: Yes/No Examples for Better Research

A yes/no question is either exactly the right tool or a quiet source of bad data, and the difference isn't obvious until you look at what the researcher was actually trying to measure. Dichotomous questions are one type of closed-ended survey question, covered more broadly in survey question types, but they're not appropriate for every research objective, and knowing exactly where the line sits is what this page is about.

Quick Answer

What is a dichotomous survey question?

Dichotomous survey questions are questions that give respondents two possible answer choices, most commonly "Yes" or "No." They're useful when researchers need a clear binary response, whether someone has purchased a product, used a service, or experienced a specific problem, and considerably less useful when the real answer isn't actually binary, like satisfaction, quality perception, or brand opinion.

Introduction

This isn't another explainer on what survey question types exist. It's a practical guide to one specific format: 25 real dichotomous question examples across common research objectives, when the format genuinely works, and, just as important, when forcing a yes/no answer onto a question that isn't actually binary quietly damages the data you collect.

25 Dichotomous Survey Questions

Customer Experience

1. Were you satisfied with your experience?
2. Did our service meet your expectations?
3. Would you use our service again?
4. Did you receive the information you needed?
5. Did you experience any problems?

Purchase Behaviour

1. Have you purchased this product before?
2. Have you purchased this category within the last six months?
3. Would you consider buying this product?
4. Did price influence your decision?
5. Did you compare other products before purchasing?

Brand Research

1. Have you heard of this brand?
2. Have you purchased this brand before?
3. Would you consider purchasing it again?
4. Do you trust this brand?
5. Would you recommend this brand?

Product Research

1. Have you used this product?
2. Did the product meet your expectations?
3. Would you try this product?
4. Did you find the product easy to use?
5. Would you pay for this feature?

Market Research

1. Have you used a competing product?
2. Are you currently looking for a product like this?
3. Would you switch brands if the price changed?
4. Would you purchase this product at the proposed price?
5. Would you recommend this product to someone else?

These examples work across questions to put on a questionnaire more broadly, this page shows specifically how the dichotomous format applies within those research objectives, not the full question library itself.

When Should You Use a Dichotomous Question?

Use a dichotomous question when all of the following are genuinely true:

• There are actually two meaningful outcomes, not a spectrum being artificially collapsed into two
• The respondent can answer with real confidence, not guessing between "sort of" and "not really"
• You need simple, fast segmentation, splitting a sample into two groups for further analysis
• The question is functioning as a screener, filtering respondents before a deeper question set
• The response needs to be trivially easy to analyse, a clean binary split, not a distribution to interpret

Example that works well: "Have you purchased a smartphone in the last 12 months?" This works because the researcher is identifying a clear, factual behavioural condition, there genuinely are only two possible states.

When NOT to Use a Dichotomous Question

This is where the format most commonly goes wrong, and it's usually invisible until the data comes back looking artificially clean.

"Do you like our product? Yes / No" looks simple, but it forces every respondent, including the genuinely neutral ones, into a choice that doesn't reflect how they actually feel. A better version: "How would you rate your overall experience?" with a proper scale, Very dissatisfied through Very satisfied, including a neutral midpoint.

"Is our product good? Yes/No" collapses a genuinely graded judgment into a binary. Better: "How would you rate the quality of our product?"

"Do you like our brand? Yes/No" has the same problem. Better: "How would you describe your overall perception of our brand?"

"Is our price reasonable? Yes/No" forces a value judgment into two boxes when most respondents actually sit somewhere on a spectrum. Better: "How would you rate the value for money?"

The pattern across all four: whenever the real underlying attitude is graded, not binary, satisfaction, quality, price fairness, brand perception, forcing a yes/no answer doesn't simplify the data, it distorts it. The respondent who's "mostly satisfied but not thrilled" gets counted the same as someone who's genuinely delighted, and that flattening shows up later as noise you can't explain.

Dichotomous or Not? A Quick Reference

Are Yes/No Questions the Same as Dichotomous Questions?

Yes, "yes/no" is simply the most common form of a dichotomous question. Dichotomous questions can also take other binary forms, true/false, agree/disagree without a middle option, or any pair of mutually exclusive choices, but yes/no is by far the most frequently used version in practice.

Advantages of Dichotomous Questions

• Extremely fast for respondents to answer, reducing survey fatigue and drop-off
• Trivially easy to analyse, a clean split with no ambiguity in interpretation
• Well suited to screening and eligibility questions, where a genuine binary condition exists
• Reduces cognitive load compared to a full rating scale, useful early in a questionnaire

Disadvantages of Dichotomous Questions

• Forces genuinely graded attitudes into an artificial binary, flattening real variation in opinion
• Gives no indication of intensity, "yes" from someone who's mildly positive looks identical to "yes" from someone who's extremely positive
• Can frustrate respondents who don't feel either option accurately represents their view, sometimes leading to random or disengaged answers
• Provides considerably less analytical depth than a properly designed scale question when the underlying construct isn't actually binary

Are Dichotomous Questions Good for Quantitative Research?

Yes, specifically for the right use case. They're excellent for behavioural facts (has this happened or not), screening and eligibility, and simple segmentation. They're a poor fit for measuring attitudes, satisfaction, or perception, anything that exists on a genuine spectrum rather than a true either/or.

PulseAI Research Insight

The dichotomous-versus-scale decision isn't just a wording preference, it changes what the resulting data can actually support. A yes/no satisfaction question tells you the direction of sentiment; a proper scale tells you the direction and the intensity, and intensity is often exactly what a brand needs to prioritise where to act first.

PulseAI Research applies this same discipline to commercial research design, on Smytten's network of 30M+ active Indian consumers:

• Screening and behavioural questions kept dichotomous, deliberately: Eligibility and factual behaviour questions use the binary format specifically because it's the right tool, not the default one
• Attitude and perception questions built as proper scales: Satisfaction, brand perception, and value judgments are measured with the granularity they actually require, not collapsed into artificial yes/no splits
• Format choice validated against real behaviour: Where a dichotomous purchase-intent question is used, results are checked against actual purchase behaviour, not left as an unverified self-report

Related Concepts

• Survey Question Types: The full landscape of question formats, dichotomous being one closed-ended option among several
• Questions to Put on a Questionnaire: The broader question library this format applies within, organised by research objective
• Survey Question Examples: How this format compares against other real question examples in practice (confirm exact URL before publishing)
• Confusing Survey Questions: The broader wording-quality discipline a forced dichotomous question can quietly violate
• Types of Questions in a Questionnaire: Where dichotomous questions fit within the fuller three-layer classification

FAQs

1. What is a dichotomous survey question?

A dichotomous survey question offers respondents exactly two possible answers, most commonly Yes or No, used when the researcher needs a clear binary response to a genuinely two-outcome question.

2. What are examples of dichotomous questions?

"Have you purchased this product before?", "Have you heard of this brand?", and "Did you experience any problems?" are all dichotomous questions, each measuring a genuine either/or condition rather than a graded attitude.

3. When should you use a dichotomous question?

When there are genuinely two meaningful outcomes, the respondent can answer with real confidence, you need fast segmentation, or the question is functioning as a screener before a deeper question set.

4. What are the disadvantages of dichotomous questions?

They flatten graded attitudes into an artificial binary, give no indication of intensity, and can frustrate respondents whose actual view doesn't fit either option, all of which quietly reduce data quality when the format is used for the wrong kind of question.

5. Are dichotomous questions good for quantitative research?

Yes, specifically for behavioural facts, screening, and eligibility. They're a poor fit for measuring satisfaction, perception, or any attitude that exists on a genuine spectrum rather than a true either/or.

6. What should I use instead of a dichotomous question for satisfaction?

A proper rating scale, Very dissatisfied through Very satisfied, with a neutral midpoint, captures both the direction and the intensity of a respondent's actual attitude, which a forced yes/no answer cannot.