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:
Adaptive questioning is a core principle of rigorous qualitative research, referring to the practice of adjusting interview questions dynamically based on participant responses rather than adhering to a predetermined, static discussion guide. In AI-moderated research, adaptive questioning enables the system to detect hesitation, ambiguity, or emotionally significant moments and respond with contextually relevant follow-up probes. This approach mirrors what skilled human moderators do naturally: listening for what is left unsaid and redirecting the conversation to surface deeper meaning. Within the broader category of AI-moderated research, adaptive questioning is what separates a genuine qualitative interview from a voice-activated survey, producing richer, more nuanced findings that reflect real consumer thinking.
How Conveo Does It
Conveo's AI interviewer applies adaptive questioning across every session by analyzing participant language, tone, and pacing in real time, then generating contextually relevant follow-up probes rather than advancing through a fixed script. Studies can be launched in approximately 30 minutes, and because sessions run asynchronously at enterprise scale, hundreds of real participants can receive individually tailored interview experiences in parallel. Results are typically available within days, with every adaptive exchange captured in full video, transcript, and thematic analysis for stakeholder review.
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