Response Bias

Systematic distortions in how people respond to surveys, interviews, or research questions—producing data that reflects the measurement process rather than the true state of affairs. Social desirability bias (people report what they think they should feel), acquiescence bias (tendency to agree with statements regardless of content), demand characteristics (respondents try to give the 'right' answer), and leading questions all produce response bias. In customer research: people say they want healthy food but buy junk food. In employee surveys: people report satisfaction they don't feel. The data reflects the measurement context, not the underlying reality.

When to use it

When customer research produces surprising findings that don't match actual behavior; when survey results seem too positive or too consistent; when designing research instruments that need to minimize systematic distortion; when evaluating any data source based on human self-report.

How it can help

For any data collected through human self-report: assume response bias and design countermeasures. Behavioral data > stated preference data (watch what people DO, not what they SAY). If you must use surveys: use randomized response techniques for sensitive questions, mix forward- and reverse-coded items to catch acquiescence, pilot test for social desirability effects, and triangulate self-report with behavioral data. The most important principle: when stated preferences diverge from revealed preferences (behavior), trust the behavior.