AI-Moderated Research
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Conveo automates video interviews to speed up decision-making.
Definition:
Agentic research describes a qualitative research model in which AI takes on active, goal-directed roles across the research lifecycle rather than simply assisting with discrete tasks. Within AI-moderated research, this means the system can design discussion guides, conduct adaptive interviews, analyze responses, and surface findings without requiring a human researcher to manage each handoff. The term reflects a shift from AI as a passive tool to AI as a capable research participant in the workflow. For enterprise insights teams, agentic research makes it practical to run continuous, large-scale qualitative programs that would otherwise require significant agency support or expanded headcount.
How Conveo Does It
Conveo operationalizes agentic research through an end-to-end platform where AI handles study design, conducts video interviews with real participants across 50-plus languages, and delivers automated thematic analysis, all without requiring manual coordination between steps. Teams can go from a research brief to live interviews in roughly 30 minutes and receive structured, stakeholder-ready findings within days. Every conversation involves a real human participant, not a synthetic respondent, preserving the depth and credibility that enterprise decisions require.
Related terms.
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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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A method for identifying and organizing patterns of meaning across qualitative data sets.
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