AI-Moderated Research
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Qualitative insights at the speed of your business
Conveo automates video interviews to speed up decision-making.
Definition:
A voice AI interview is a structured qualitative research session in which an AI interviewer engages participants through spoken conversation, probing dynamically based on what each person actually says rather than following a rigid script. Within the broader category of AI-moderated research, voice AI interviews occupy a distinct position because they preserve the tonal, emotional, and linguistic richness of spoken language, which text-based or survey-based methods cannot replicate. Researchers use voice AI interviews to run concept testing, brand exploration, customer satisfaction studies, and behavioral research at a scale that traditional human moderation cannot sustain. The format supports asynchronous participation, meaning hundreds of conversations can run in parallel across markets and languages without scheduling constraints.
How Conveo Does It
Conveo runs voice AI interviews through a video-first platform where real participants, not synthetic respondents or AI avatars, speak directly with an AI interviewer that adapts its questions based on what each person says. Teams can configure and launch a study in around 30 minutes, and findings are typically ready within days. Because sessions run asynchronously, enterprise teams can conduct hundreds of interviews in parallel across more than 50 languages, with multimodal analysis capturing speech, tone, and facial cues alongside the spoken content.
Related terms.
Qualitative Research
Asynchronous Interview
A method for identifying and organizing patterns of meaning across qualitative data sets.
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A method for identifying and organizing patterns of meaning across qualitative data sets.
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A method for identifying and organizing patterns of meaning across qualitative data sets.
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Frequently asked questions.

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