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Surveys

A practical research method for collecting structured feedback at scale.

How to use surveys to measure attitudes, sentiment, and self-reported behaviour across a broad audience.

4 min read

What it is

Surveys are a UX method used to collect structured from users through a set of predefined questions.

They can be delivered through various such as email, in-product , or website pop-ups, and typically combine quantitative and qualitative .

Unlike interviews, which are deep and exploratory, surveys are broad and scalable. They allow you to gather from a large audience and identify across .

The goal is to measure attitudes, perceptions, satisfaction, and self-reported at scale.

Surveys are useful when you need breadth, comparability, and scale rather than deep one-to-one context.

When to use it

Use this method when you need input from a large number of users.

It is most useful when:

You want to gather feedback at scale
You need to measure satisfaction or sentiment
You are validating assumptions across a broad audience
You want to prioritise issues or opportunities
You need supporting data for decision-making

It is less useful when:

You need deep understanding or context
Questions are complex or exploratory
Users may misinterpret questions
Response rates are likely to be low
Surveys are often used alongside interviews and analytics to combine scale with depth.

Key takeaway

Use surveys when the question is broad enough to benefit from scale and structured enough to be answered consistently.

How to run it

Set up properly

Be clear on what you want to learn, who you are asking, and how it will be distributed. A survey is the easiest to run badly, because nothing stops you.

Decide what you will do with each possible answer before you ask. Any question whose answers change nothing should be cut.

Run the method

Surveys reach scale that qualitative methods cannot. They are excellent at measuring things you already understand and unreliable at discovering things you do not.

  1. Write clear, unbiased questions. Leading wording is the most common defect and the hardest to see in your own draft.
  2. Use a mix of closed questions for measurement and open ones for language, keeping the open ones few.
  3. Keep it short and relevant. Completion falls sharply with length, and the people who persist are not representative of those who did not.
  4. Distribute through that reach the population you intend, and record how, since the channel shapes the sample.
  5. Monitor and completion rates as you go. A high at one question is telling you that question is wrong.

Remember you are measuring the people who responded. Non- is rarely random, and the gap between respondents and everybody else is usually the most important unknown.

Capture and make sense of it

The value comes from scale. After collecting , document:

  • Results with the and rate stated alongside
  • Differences between segments, where the sample supports the split
  • Themes from open , coded rather than cherry-picked
  • The limits of what this sample can support

Use this to quantify what qualitative work has already identified. Surveys confirm and size a problem; they seldom find one.

What to look for

Focus on:

Response patterns: trends across large groups of users
Sentiment: how users feel about the experience
Consistency: whether feedback aligns across questions
Open-ended insights: themes from qualitative responses
Non-response: who did not answer, and how they may differ

Where it goes wrong

Most issues come from:

What users say is not always what they do.

Wording that leads, which is the commonest defect and the hardest to self-diagnose
Length that pushes completion down and skews who finishes
Reading the respondents as the population, when non-response is rarely random
Asking questions whose answers would change nothing
Using a survey to discover something rather than to size it

What you get from it

Done properly, this method gives you:

Scale that qualitative work cannot reach
Differences between segments, where the sample supports the split
Language from open responses, coded rather than cherry-picked
A number attached to a problem you already understand

Key takeaway

It helps you understand how users feel at scale.

Get in touch

If this sounds like something you need, we can help you design surveys that get meaningful responses and actionable insight.

No guesswork. No assumptions. Just clear insight you can act on.

FAQ

Common questions

A few practical answers to the questions that usually come up around this method.

What are surveys in UX?

Surveys are a method used to collect structured feedback from users through predefined questions.

When should you use surveys?

Use them when gathering feedback from a large audience or measuring satisfaction.

What types of questions should surveys include?

A mix of closed questions for measurement and open-ended questions for insight.

Are surveys reliable?

They are useful for patterns and trends, but should be combined with other methods.

What tools are used for surveys?

Tools such as Typeform, SurveyMonkey, Google Forms, and Qualtrics are commonly used.

Quick take

If you need to gather feedback from a large number of users quickly, use surveys.

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