UX Research at Scale: Surveys, Analytics, Online Testing

The University of Michigan examines methods for learning from larger groups of users. Survey design leads into coverage, nonresponse and measurement error before the course turns to analytics, remote testing and A/B comparisons. This is a useful complement to interview-based study because it asks how recruitment, wording and measurement affect the conclusions drawn from a larger dataset.

What you will learn

• Recognize common sources of survey error.
• Connect behavioral analytics with a UX question.
• Compare remote tests and controlled design alternatives.

Who this suits

The provider lists a beginner level. Basic familiarity with UX research helps connect the methods to a practical decision rather than collecting metrics without a question.

Before you enroll

A large sample does not remove recruitment or measurement bias. Check what a metric actually represents, and distinguish observed behavior from a causal claim about why a design worked.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for included assessments, certificate terms, trials and any financial-aid options. Access conditions can change; review the current offer before paying.

Put it into practice

Draft a short survey for a specific interface question. Identify who might be missing from the sample, rewrite one ambiguous question and explain which conclusion the resulting responses could reasonably support.

Source and review

This overview is based on the provider's published information, checked on 14 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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