  The rapid advancements in generative artificial intelligence have opened up
new avenues for enhancing various aspects of research, including the design and
evaluation of survey questionnaires. However, the recent pioneering
applications have not considered questionnaire pretesting. This article
explores the use of GPT models as a useful tool for pretesting survey
questionnaires, particularly in the early stages of survey design. Illustrated
with two applications, the article suggests incorporating GPT feedback as an
additional stage before human pretesting, potentially reducing successive
iterations. The article also emphasizes the indispensable role of researchers'
judgment in interpreting and implementing AI-generated feedback.
