Human interviewers are an essential component of survey data collection. When properly trained, motivated, monitored, and encouraged, interviewers can provide tremendous benefits to research studies both large and small. However, interviewers can also have a negative effect on the quality of the data collected, introducing bias in and/or inflating the variance of survey estimates, and survey managers need to take steps to ensure that these detrimental effects do not emerge. This article introduces the concept of interviewer effects in surveys, including strategies for measuring such effects and designing surveys that will minimize these effects. Considering the Total Survey Error framework, the article discusses the different ways that human interviewers administering surveys in‐person, over the phone, or via live video can affect the quality of the survey data collected. Readers of the article will gain an important and well‐rounded understanding of interviewer effects in survey research, including practical and modern techniques for the measurement and reduction of these effects.