Explanation: When interviewing or surveying users, the UX designer should be aware of the following response biases that can affect the accuracy of the data collected: Social desirability bias: This is the tendency of respondents to answer questions in a way that they think will make them look good or conform to social norms and expectations. For example, when asked about their purchasing habits, respondents may underreport their spending on luxury items or impulse buys, or overreport their spending on charitable causes or environmentally friendly products. Social desirability bias can be reduced by ensuring anonymity and confidentiality, using indirect or less sensitive questions, or using implicit measures.

Recency bias: This is the tendency of respondents to recall and emphasize the most recent events or experiences, rather than the ones that occurred earlier or more frequently. For example, when asked about their purchasing habits, respondents may base their answers on their last purchase or the last month, rather than their average or typical behavior over a longer period of time. Recency bias can be reduced by using specific and clear time frames, using multiple sources of data, or using longitudinal methods.