domains / families / research / survey-design

survey-design

combined

Design unbiased survey instruments — question wording, scales, and sampling — to measure attitudes at scale. Use when you need quantitative breadth. For behavioural experiments, use `a-b-test-design` (prototyping-testing). Design survey instruments: questions, scales, flow, social desirability.

When to use

• You need to know how many users share a need, problem, or opinion (not just whether some do)
• You need to validate or quantify findings from qualitative research (interviews, usability tests)
• You need to measure change over time (satisfaction scores, NPS trends)
• You need a representative sample across a population segment

When not to use

• discovering problems you don't yet know exist
• behavioural experiments
• exploring and revealing unknown issues

Skill page

Conflict

The two skills overlap on core survey design (question wording, scales, flow, bias), but each contains material steps the other lacks. The first is a product/UX-oriented guide with concrete sampling math, NPS/SUS usage, and analysis/reporting steps. The second is an academic/empirical-research guide with item-specific wording, acquiescence bias, index construction, treatment placement, and demand-effect mitigation. Crowning one would hide a real alternative.