Qualitative Research
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Conveo automates video interviews to speed up decision-making.
Definition:
Deductive coding is a structured approach to qualitative data analysis in which researchers bring an established framework, theory, or set of hypotheses to the data and apply predetermined codes systematically across transcripts, interview recordings, or open-ended responses. Unlike inductive coding, which allows themes to surface organically, deductive coding starts with a codebook built before or during study design. This makes it especially useful in concept testing, brand tracking, and messaging research, where teams need to measure responses against specific criteria. In qualitative research practice, deductive coding supports consistency across large datasets, enables cross-study comparisons, and produces findings that map directly to the business questions stakeholders have already defined.
How Conveo Does It
Conveo supports deductive coding by allowing research teams to define their coding framework before a study launches, then applying it automatically across every AI-moderated video interview as responses come in. Studies can go live in under 30 minutes, and because real participants complete sessions asynchronously at scale, coded findings are ready in days rather than weeks. Every code is traceable back to verbatim quotes and video clips, so stakeholders can verify the evidence behind each theme rather than relying on a summary alone.
Related terms.
Qualitative Research
Design Thinking
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Qualitative Research
Discourse Analysis
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Qualitative Research
Face-to-Face Interview
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Frequently asked questions.

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