Surveys can feel like detective work. You ask a question. People answer. Then you look for clues. A dichotomous survey question makes this easy because it gives only two choices. Think yes or no, true or false, or agree or disagree.
TLDR: Dichotomous survey questions are simple questions with two possible answers. They are great when you need fast, clear data. Use them for screening, checking behavior, measuring basic opinions, or sorting people into groups. Just make sure the question is fair and not too complex.
- What Is a Dichotomous Survey Question?
- Why Use Dichotomous Questions?
- 1. Customer Purchase Question
- 2. Product Use Question
- 3. Brand Awareness Question
- 4. Event Attendance Question
- 5. Satisfaction Check Question
- 6. Consent Question
- 7. Eligibility Screening Question
- 8. Feature Awareness Question
- 9. Policy Agreement Question
- 10. True or False Knowledge Question
- How to Write Better Dichotomous Questions
- When Not to Use Dichotomous Questions
- Quick Template You Can Copy
- Final Thoughts
What Is a Dichotomous Survey Question?
A dichotomous survey question gives respondents only two answer options. That is it. No long rating scale. No “maybe.” No “kind of.”
Common examples include:
- Yes / No
- True / False
- Agree / Disagree
- Male / Female where appropriate and inclusive alternatives are not needed for the research goal
- Used / Did not use
These questions are useful because they are fast. People do not have to think too hard. You also get clean data. That makes analysis easier.
But there is a catch. Life is messy. People often live in the “maybe” zone. So use dichotomous questions when a clear split makes sense.
Why Use Dichotomous Questions?
Dichotomous questions are like light switches. They are either on or off. That makes them handy for many research tasks.
Use them when you want to:
- Screen people before a survey.
- Confirm behavior, like buying or using something.
- Measure awareness of a brand, product, or issue.
- Sort respondents into simple groups.
- Keep surveys short and friendly.
Now let’s look at 10 examples you can use, adapt, or steal with pride.
1. Customer Purchase Question
Question: Have you purchased from our store in the last 30 days?
- Yes
- No
This is a classic. It tells you who recently bought something. You can then ask buyers about their experience. You can ask non-buyers why they did not purchase.
Best for: customer research, retail surveys, ecommerce feedback.
2. Product Use Question
Question: Have you used our mobile app this week?
- Yes
- No
This question checks behavior. It is not asking if people like the app. It asks if they used it. That is a clean data point.
Tip: Add a follow-up question based on the answer. If yes, ask what they used. If no, ask what stopped them.
3. Brand Awareness Question
Question: Have you heard of our brand before today?
- Yes
- No
This helps you measure awareness. It is especially useful before a campaign. It also works after a campaign. Then you can compare results.
Fun thought: If nobody has heard of you, do not panic. Every famous brand had a first day.
4. Event Attendance Question
Question: Did you attend our online webinar?
- Yes
- No
This is a basic filter question. It separates attendees from non-attendees. That matters because each group needs different questions.
For example, attendees can rate the speaker. Non-attendees can explain why they missed it.
5. Satisfaction Check Question
Question: Were you satisfied with your support experience?
- Yes
- No
This question is simple and direct. It gives you a quick read. It is great after a support chat, phone call, or email.
Still, satisfaction can be a little fuzzy. Some people may feel “mostly satisfied.” If you need more detail, use a rating scale instead.
6. Consent Question
Question: Do you agree to take part in this research study?
- Yes
- No
This one is very important. It confirms consent. It should be clear. It should be easy to answer.
Do not hide important details. Tell people what the study is about. Tell them how their data will be used. Then ask for consent.
Best for: research studies, user interviews, academic surveys.
7. Eligibility Screening Question
Question: Are you currently employed full time?
- Yes
- No
Screening questions help you find the right respondents. If your study is about full-time workers, this question saves time.
It also protects your data. You do not want answers from people outside your target group.
8. Feature Awareness Question
Question: Did you know our software has a dark mode feature?
- Yes
- No
This is great for product teams. Sometimes a feature exists, but users do not know it. That is like baking cookies and hiding them in a drawer.
If many users answer no, you may need better onboarding. Or a brighter button. Or fewer hidden cookies.
9. Policy Agreement Question
Question: Do you agree with our updated return policy?
- Agree
- Disagree
This question measures a simple opinion. It is good when you need a quick pulse. But be careful. Policies can be complex.
If the topic is sensitive, add an open comment box. People may want to explain their answer. Let them speak.
10. True or False Knowledge Question
Question: True or false: Our store offers free shipping on orders over $50.
- True
- False
This tests knowledge. It can show whether your message is clear. It also works well in training, education, and onboarding surveys.
If many people get it wrong, the problem may not be the people. The message may be hiding under a rock.
How to Write Better Dichotomous Questions
Dichotomous questions look simple. But they still need care. A bad question can create bad data. And bad data is like a soggy sandwich. Nobody wants it.
Use these tips:
- Ask one thing at a time. Do not ask, “Did you like our price and delivery?” That is two questions.
- Use clear words. Avoid jargon. Keep it human.
- Make both answers fair. Do not push people toward one answer.
- Avoid tricky wording. No double negatives. They make brains hurt.
- Use a time frame. “This week” is clearer than “recently.”
- Add follow-ups when needed. A yes or no answer may not tell the full story.
When Not to Use Dichotomous Questions
Do not use them for every survey question. That would be boring. It would also be limiting.
Avoid dichotomous questions when you need:
- Levels of feeling, such as very happy or slightly happy.
- Rankings, such as favorite features.
- Detailed feedback, such as reasons or suggestions.
- Nuance, because people are not robots.
For those cases, use rating scales, multiple choice questions, or open-ended questions. Mix your survey types. Keep it balanced.
Quick Template You Can Copy
Here is a simple format:
- Question: Have you [done action] in the last [time period]?
- Answer 1: Yes
- Answer 2: No
Example:
- Question: Have you contacted customer support in the last 7 days?
- Answer 1: Yes
- Answer 2: No
Easy. Clean. Useful.
Final Thoughts
Dichotomous survey questions are small but mighty. They help you collect quick answers. They also make data easier to sort and compare.
Use them when the answer is truly one of two things. Do not force a yes or no when people need more space. Good research is not about asking fancy questions. It is about asking the right questions.
So grab your survey hat. Ask clearly. Keep it simple. And let those two-choice questions do their tiny, powerful job.


