Quantitative Research
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Qualitative insights at the speed of your business
Conveo automates video interviews to speed up decision-making.
Definition:
An affinity diagram is a structured synthesis technique used in qualitative research to organise large volumes of unstructured data into meaningful thematic clusters. Researchers write individual observations, verbatim quotes, or ideas onto separate cards or digital notes, then group them based on shared meaning rather than predetermined categories. The resulting clusters reveal patterns that might otherwise stay buried in raw transcripts. In qualitative research, affinity diagrams are particularly valuable during analysis phases where the volume of participant data makes manual review impractical. The method supports grounded, bottom-up thematic analysis, ensuring that the structure of findings reflects what participants actually said rather than what researchers expected to find.
How Conveo Does It
Conveo accelerates affinity diagram construction by automatically clustering themes across AI-moderated video interviews the moment each session closes. Teams can launch a study in under 30 minutes and receive thematic groupings drawn from real participant conversations, not synthetic respondents, within days. At enterprise scale, where hundreds of interviews might run simultaneously across multiple markets, Conveo surfaces the natural groupings that would take a research team weeks to build manually, with every cluster traceable back to verbatim quotes and video from real people.
Related terms.
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Choice-Based Conjoint
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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Gabor-Granger
A method for identifying and organizing patterns of meaning across qualitative data sets.
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