Survey priming can significantly skew results, leading to biased data that undermines research goals. To avoid bias, careful attention must be paid to the order and structure of survey questions, ensuring opinion-based queries precede behavioral ones. Strategies such as topic separation, question randomization, and thorough revisions can enhance data accuracy and minimize the effects of priming.