An asynchronous interview is a structured qualitative research method in which participants complete interview questions independently, at a time and place that suits them, rather than joining a live session with a human moderator. In the context of AI-moderated research, asynchronous interviews are typically conducted via an AI interviewer that guides participants through a discussion guide, probes on their responses, and captures video, audio, and text in real time. This format removes the scheduling constraints that make traditional synchronous qualitative research slow and expensive to run at scale. Because sessions run in parallel rather than sequentially, research teams can gather hundreds of in-depth responses within days, making asynchronous interviews a practical foundation for continuous consumer understanding across global markets.