Survey: General

Discovery / ExplorationquantitativeBeginner

TL;DR

Collect quantitative information (opinions, attitudes, characteristics, behaviors).

Detailed description

Surveys are a quantitative methodology that allows collecting structured information from a large number of users through standardized questionnaires. This technique is fundamental for obtaining data about opinions, attitudes, behaviors, and demographic characteristics at scale, providing statistically significant insights for design decision-making. Academic research demonstrates its effectiveness for validating hypotheses and segmenting users (Interaction Design Foundation). It is advisable to combine with qualitative methods to obtain a comprehensive understanding of user behavior.

Main objective

Collect quantitative information (opinions, attitudes, characteristics, behaviors).

When to use it

Discovery or post-launch evaluation.

Effort level

Low to Medium

Recommended number of users

Hundreds or thousands; pilot with 3–5

Advantages

  • ✓Statistically significant data
  • ✓Scalable to large audiences
  • ✓Cost-effective
  • ✓Quantifiable results

Disadvantages

  • ✗Lacks deep context
  • ✗Possible response biases
  • ✗Question design critical
  • ✗Can be superficial

When to use

  • •Hypothesis validation
  • •Satisfaction measurement
  • •Market research
  • •Post-launch feedback

Metrics

  • Response rate
  • Average satisfaction level
  • Response distribution
  • Statistically significant insights

Practical example

Ask potential customers about payment methods and desired services before launching a service.

Free tool by UXR — UX Research Consulting in Chile