Gather more detailed feedback from respondents with the help of artificial intelligence. The AI Interviewer asks follow-up questions to gain deeper insights.
The AI Interviewer generates follow-up questions based on a predefined survey question. In the interviewer settings, you can specify which question the follow-up inquiries should be related to. By default, the AI Interviewer prioritizes follow-up questions for the NPS question, but it can also ask clarifying questions based on scale questions. While the interviewer can be used with other question types as well, NPS and scale questions provide the best results.
You can provide context to the interviewer, which influences the analysis and the insights it generates. Context can be set when designing the survey by either providing the interviewer with your website URL or by manually writing a contextual description. A well-defined context helps the interviewer better understand your operations and improve the relevance of the responses.
Typically, the interviewer starts with a question like:
"What made you respond (respondent’s answer) to the question (specified question)?"
The respondent then provides an answer, and based on this, the AI Interviewer asks additional questions to uncover the root cause of the feedback. Using these responses, the interviewer identifies the most important themes, highlighting key strengths and areas for improvement found in the interview process.