# User Surveys

> Learn how to design and use User Surveys, a powerful UX research tool for collecting quantitative data at scale and validating your hypotheses.

*Tags: ux, research, technique, quantitative, junior*

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> [!info] Quick Definition
> A user survey is a primarily quantitative research method that uses a set of standardized questions to collect data from a large sample of users. They allow you to measure attitudes, satisfaction, preferences, and gather demographic data at scale.


## What Are User Surveys?

Think about the difference between having a deep conversation with one person and conducting a national census. The conversation ([User Interviews](/techniques/user-interviews/)) gives you a richness of detail and context about a single person. The census (the survey) gives you statistical data about thousands of people at once, allowing you to see patterns at a large scale, but without the individual detail.

Surveys in UX are that census tool. They do not replace qualitative research -- they complement it. They help you answer questions of "*how many*" and "*how much*," while interviews answer the "*why*."

The key components of a survey are:
- **A specific objective:** What do you want to measure? (e.g., "Measure customer satisfaction with our new onboarding process").
- **Well-designed questions:** Clear, unbiased, and easy to answer.
- **A representative sample:** The respondents should reflect the characteristics of your actual user base.
- **Data analysis:** Converting the responses into charts and statistics to identify trends.

## Why Are They Important?

- **Quantitative validation:** They allow you to validate with numbers the qualitative findings from your interviews. If in 3 interviews you heard that the checkout is confusing, a survey can tell you whether 5% or 50% of your users think the same.
- **Data collection at scale:** They are a quick and affordable way to get feedback from hundreds or thousands of users.
- **UX KPI measurement:** They are the standard tool for measuring metrics like the Net Promoter Score (NPS), Customer Satisfaction (CSAT), or the System Usability Scale (SUS).
- **User segmentation:** They allow you to cross-reference demographic data with responses to understand how attitudes vary across different user groups.

## Types of Questions

- **Multiple Choice:** The user selects one or several options from a list.
- **Likert Scales:** The user rates their agreement or disagreement with a statement (e.g., from "Strongly disagree" to "Strongly agree").
- **Rating Scales:** The user rates something on a numerical scale (e.g., "On a scale of 1 to 10, how easy was...?").
- **Open-Ended Questions:** The user writes a response in their own words. They are valuable but difficult to analyze at scale, so use them sparingly.

## Mentor Tips

- **The quality of your survey determines the quality of your data:** A poorly worded or biased question can invalidate all your results. Invest time in writing good questions.
- **Keep it short and focused:** Nobody wants to answer a 30-minute survey. Respect your users' time. Every question should have a clear purpose aligned with your objective.
- **Test your own survey:** Before sending it out, have your teammates take it. This will help you find confusing questions, typos, or logic issues.
- **Avoid double-barreled questions:** Do not ask two things in one. Instead of "How fast and friendly was our support?", split it into two separate questions.

## Resources and Tools

- **Resources:**
    - **Book:** "[The Mom Test](https://www.momtestbook.com/)" by Rob Fitzpatrick. Although it focuses on interviews, its principles about how to ask good questions are invaluable for survey design.
    - **Guides:** SurveyMonkey and Typeform have excellent blogs with guides on how to design effective surveys.
- **Tools:**
    - [Google Forms](https://www.google.com/forms/about/): Free and powerful.
    - [Typeform](https://www.typeform.com/): Known for its excellent user experience.
    - [SurveyMonkey](https://www.surveymonkey.com/): An industry standard with many advanced features.


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Source: https://www.fernandoux.com/en/wiki/research/user-surveys/