← Back to Blog

What are Surveys?

Every survey you’ve taken was shaped by a handful of choices, from who was asked to how each question was worded. Learn what surveys can (and can’t) do, when to use them, and how to design one that gets honest answers.

Chloe
Chloe

Product Designer

•October 9, 2026•4 min read

Every day, someone is asked to rate their experience from one to five, and every day, someone else is making a decision based on those answers. A well-designed survey can reveal what thousands of people think, while a poorly designed one can confidently tell you something false. Understanding how surveys work is the first step to making sure yours land on the right side of that line.

What are surveys?

A survey is a research method that collects information directly from people by asking them a standardized set of questions. Because every respondent answers the same questions in the same way, the results can be compared, counted, and analyzed, which is what sets surveys apart from open-ended methods like interviews or observation.

Surveys typically gather information about attitudes, opinions, behaviors, experiences, and demographic characteristics. They can be delivered in many ways: online, by phone, by mail, or face to face. They can also take different forms depending on the goal:

  • Cross-sectional surveys capture a snapshot of a population at one point in time.
  • Longitudinal surveys follow the same people (or the same population) over time to track change.
  • Descriptive surveys aim to describe what is happening, such as how many customers use a feature.
  • Explanatory surveys look for relationships between variables, such as whether satisfaction differs by age group.

Most surveys are built from closed-ended questions (multiple choice, rating scales, yes/no), which produce quantitative data that is easy to analyze, often supplemented by a few open-ended questions that capture answers in people's own words.

When to use surveys

Surveys are a good fit when you need to understand what people think, feel, or do, and how common those views or behaviors are. They shine in situations like these:

  • You need numbers. If the question is "how many?" or "how much?", surveys let you quantify patterns and compare groups.
  • You need breadth. Surveys can reach large and geographically scattered groups far more cheaply and quickly than interviews.
  • You want to track change. Repeating the same survey over time lets you spot trends, such as shifts in customer satisfaction or employee engagement.
  • You are studying self-reported topics. Attitudes, preferences, intentions, and personal experiences are often best learned by asking.

Surveys are a weaker choice in other situations. They struggle to explain the why behind behavior in depth, which is where interviews and focus groups do better.

They can be unreliable for things people don't remember accurately or are reluctant to admit, since self-reports are vulnerable to memory errors and social desirability bias. Many strong studies combine methods, using interviews to discover what matters and a survey to measure how widespread it is.

Creating a survey with UserSage

1. Setting up your survey

UserSage has many question formats for your different research goals. Having all of these formats in one place means you can mix and match within a single survey, using structured questions to measure and open-ended ones to explain, rather than forcing every topic into the same mold.

That flexibility improves the quality of your data: each question gets the format that fits it best, respondents stay engaged because the survey doesn’t feel repetitive, and you end up with a richer mix of quantitative and qualitative evidence from a single study.

UserSage can help you craft questions

Having trouble creating your survey? Or do you know what you want to learn, but don’t know what to ask? Tell us your research goals, and we’ll create a curated question list for you.

2. Recruit participants

UserSage’s simulated AI panel

For fast feedback, get a quick first read from simulated people with an AI Panel. Then run the same test with real participants to confirm it.

Verdict
Note: Unlike 5-Second Test or Click/Task-Flow tests, a survey has no task for the AI panel to react to. Each answer still comes from a simulated person's own background, not their real experience with your product.

Treat it as a directional first pass for question wording and design reactions, not real opinions.

Using Your Panel or UserSage’s GenPop Panel

For what people actually think, use Your Panel or GenPop Panel. Recruit your own participants, or source a panel from our GenPop Panel feature.

3. Analyze results

Survey results can provide excellent qualitative and quantitative data. Review what your participants think, and notice any common themes within the feedback.

If you used an AI Panel as your first pass, don’t forget to run your survey with real people! With UserSage, you can easily clone your survey, make any changes if needed, and launch!

Ready to get started?

Run your first survey with User Sage. Sign up for free and get a first read today.

Get started free

Build a study, recruit AI or real people, and read what they actually said.

Get started free