If you want to gather high-quality data, providing your respondents with a clear, streamlined experience is essential. And that takes smart, thoughtful survey design.
By shortening and optimizing your survey experience, you can reduce respondent fatigue—one of the biggest threats to data quality.
Beyond writing good questions, you can use survey logic to make the experience faster and more personalized.
Here’s a guide to help you better understand the different types of survey logic and how to apply them to your next project.
What is survey logic?
Not every question in your survey will apply to every respondent. Survey logic allows you to adapt the survey in real time based on how someone responds. This includes skipping questions or pages, repeating question blocks, and filtering based on specific profiles.
Why use survey logic?
When used well, logic shortens the survey and gives respondents a clear, relevant path—free from confusion or irrelevant questions. The result? Higher completion rates and better-quality data.
Types of survey logic
- Conditional display logic: show or hide questions and answer options based on previous responses.
- Multi-condition logic: combine multiple answers to determine the next step.
- Skip logic (question/page): bypass questions or sections that don't apply.
- Looping logic: repeat a set of questions for each item selected.
- Piped text: insert the respondent’s answers into future questions for a more personalized feel.
- Disqualification logic: filter out respondents who don’t meet your target criteria.
- Numerical logic: use comparisons between numerical answers to guide logic.
- End-of-survey logic: send respondents to the end without disqualifying their data.
(BONUS) Quotas and nested quotas
Quotas help balance your sample by gender, age, location, etc.
Nested quotas allow deeper targeting—e.g., "men aged 25–34 earning over $100,000."
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