Survey question types

Yes No Survey Questions: 25 Examples + When to Use Them

Yes No survey questions are the fastest to answer, easiest to analyze, and most effective for triggering branching logic.

25 copy-paste yes/no survey questions organized by use case: onboarding, support, feature usage, churn, and research. Plus when to use yes/no vs a rating scale, and how to write them without social desirability bias.

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What are yes/no survey questions?

Yes/no survey questions offer respondents exactly two answer options. They are the simplest question type in survey research - also called binary questions or dichotomous questions - and produce the cleanest, most actionable data.

Because the answer is always binary, yes/no questions are ideal for screening, filtering, and triggering conditional follow-up questions. A respondent who answers No to "Have you used Feature X?" should see a different follow-up than one who answers Yes.

Yes/no vs rating scale: which to use?

Use yes/noThe answer is genuinely binary (did they do it or not?)
Use yes/noYou need a branching trigger for conditional follow-ups
Use yes/noYou are screening or qualifying respondents
Use a rating scaleThe answer has meaningful degrees (how satisfied were they?)
Use a rating scaleYou need a benchmarkable score (NPS, CSAT, CES)
Use a rating scaleNuance in the answer would change your action

25 yes/no survey question examples

Organized by use case. Copy and adapt for your surveys.

Onboarding

1

Did you complete the initial setup? (Yes / No)

Onboarding completion check

2

Did you find the onboarding process easy to follow? (Yes / No)

Onboarding friction signal

3

Have you invited any teammates to [Product] yet? (Yes / No)

Collaboration adoption

4

Have you tried our [core feature] yet? (Yes / No)

Feature adoption gate

5

Did you read the getting-started guide before reaching out? (Yes / No)

Self-serve behavior

Support

1

Did our support team resolve your issue? (Yes / No)

Resolution check - pair with open text if No

2

Were you able to find what you needed in our documentation? (Yes / No)

Docs effectiveness

3

Did you reach out to support before checking the help center? (Yes / No)

Support routing research

4

Was your issue resolved on first contact? (Yes / No)

First contact resolution (FCR)

5

Do you feel confident using [Product] after this support session? (Yes / No)

Post-support confidence

Feature usage

1

Have you used [Feature] in the past 30 days? (Yes / No)

Feature adoption tracking

2

Have you set up [integration] yet? (Yes / No)

Integration adoption

3

Do you use [Product] as part of your weekly workflow? (Yes / No)

Stickiness check

4

Have you exported your data from [Product]? (Yes / No)

Data portability usage

5

Have you shared your results with anyone outside your team? (Yes / No)

Sharing behavior

Churn and retention

1

Are you currently evaluating any alternatives to [Product]? (Yes / No)

Churn risk signal

2

Has [Product] met the expectations you had when you signed up? (Yes / No)

Expectation gap

3

Do you feel like you are getting value from [Product] right now? (Yes / No)

Value realization check

4

Would you be open to a call with our team to discuss your experience? (Yes / No)

At-risk user rescue

5

Is there a specific reason you have been less active recently? (Yes / No)

Re-engagement trigger

Research and qualification

1

Are you the primary decision-maker for tools like [Product]? (Yes / No)

Buyer persona qualifier

2

Do you currently have a process in place for collecting customer feedback? (Yes / No)

Market qualification

3

Have you referred anyone to [Product] in the past 3 months? (Yes / No)

Referral behavior

4

Would you be willing to leave a public review for [Product]? (Yes / No)

Review generation

5

Do you have colleagues who could also benefit from [Product]? (Yes / No)

Expansion opportunity

5 rules for writing better yes/no questions

Yes/no questions look simple. These are the mistakes that make them unreliable.

1

Only use yes/no when the answer is genuinely binary.

If you ask "Are you satisfied?" you lose everyone who is "mostly satisfied" or "somewhat dissatisfied." When nuance matters, use a rating scale. Reserve yes/no for facts and behaviors where the answer really is binary.

2

Be specific about time and context.

"Do you use Feature X?" is vague. "Have you used Feature X in the past 30 days?" is answerable. Specificity eliminates respondent guessing and makes your data more reliable.

3

Pair No responses with an open-text follow-up.

"No" tells you something is wrong. The open-text follow-up tells you what. Always add a conditional "Can you tell us more?" that appears only when the answer is No.

4

Use yes/no as a branching trigger.

The power of binary questions is in logic branching. "Have you used Feature X?" - Yes path: ask about their experience. No path: ask why not. You collect richer data from fewer questions.

5

Frame questions neutrally so both answers feel acceptable.

"You haven't tried our new feature yet, have you?" pressures respondents toward No. "Have you tried our new feature?" is neutral. Social desirability bias inflates Yes responses when questions are framed positively.

Frequently asked questions

What are yes/no survey questions?

Yes/no survey questions (also called binary or dichotomous questions) offer respondents exactly two answer options. They are the fastest question type to answer and the easiest to analyze. Use them for behavior questions, qualification checks, and branching logic triggers.

When should I use yes/no questions in a survey?

Use yes/no questions when the answer is genuinely binary - screening ("Have you used X in the past 30 days?"), filtering ("Are you on a paid plan?"), and intent checks ("Would you recommend us?"). Avoid them when nuance matters - use a rating scale when the answer has meaningful degrees.

What is the difference between yes/no and dichotomous questions?

Yes/no questions are the most common form of dichotomous question. Dichotomous means "two options" - it also includes True/False, Agree/Disagree, and other binary pairs. In practice the terms are interchangeable.

How do you analyze yes/no survey results?

Calculate the percentage of Yes and No responses. The key is segmentation - break down the Yes/No split by cohort (plan tier, signup date, role) to find actionable patterns. Always pair No responses with an open-text follow-up to understand why.

Should yes/no questions have a neutral option?

No - adding a neutral option changes the question from binary to a 3-point scale. If respondents cannot answer yes or no, the question is too vague. Make it more specific so a binary answer is always valid.

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