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:
Moderated testing is a core qualitative research method used across concept evaluation, usability studies, ad testing, packaging research, and brand exploration. A moderator, whether human or AI-powered, engages participants directly, following up on unexpected responses and adjusting the conversation based on what emerges. This live or asynchronous interaction is what separates moderated testing from self-completion surveys: the moderator can pursue the 'why' behind any answer, not just record it. For enterprise insights teams, moderated testing produces the depth of understanding that informs high-stakes decisions, from product launches to campaign strategy, with findings grounded in real participant voices rather than aggregated scores.
How Conveo Does It
Conveo runs moderated testing through AI-moderated video interviews that launch in under 30 minutes and return findings within days, not weeks. The AI moderator probes based on what participants actually say, adapting in real time rather than following a rigid script, across 50-plus languages and markets simultaneously. Every session involves real participants recruited through integrated panel partners or your own list, with no synthetic respondents, and multimodal analysis captures speech, tone, and facial cues to surface what transcripts alone would miss.
Related terms.
Qualitative Research
Moderation
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Qualitative Research
AI Moderation
A method for identifying and organizing patterns of meaning across qualitative data sets.
See full definition →
Qualitative Research
AI-Moderated Interview
A method for identifying and organizing patterns of meaning across qualitative data sets.
See full definition →
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