Qualitative Research
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Qualitative insights at the speed of your business
Conveo automates video interviews to speed up decision-making.
Definition:
Mixed methods research is a structured approach that integrates both qualitative and quantitative data collection and analysis within the same research programme. Rather than treating these traditions as separate, mixed methods research uses each to complement and strengthen the other, allowing researchers to explore the why behind statistical patterns or to validate qualitative themes at scale. In enterprise qualitative research, this approach is particularly valuable when stakeholder decisions require both statistical confidence and contextual depth. Common designs include sequential exploratory studies, where qualitative findings inform survey design, and concurrent triangulation, where both data types are collected simultaneously and compared for convergence.
How Conveo Does It
Conveo supports mixed methods research by enabling teams to run AI-moderated video interviews at enterprise scale, generating rich qualitative data that can be layered alongside quantitative survey results. Researchers can launch studies in under 30 minutes and receive synthesised findings within days, making it practical to run qualitative phases quickly before or after quantitative fieldwork. Every interview involves real participants, not synthetic respondents or AI avatars, ensuring the qualitative layer reflects genuine human experience and holds up to rigorous analysis.
Related terms.
Qualitative Research
AI-Moderated Research
A method for identifying and organizing patterns of meaning across qualitative data sets.
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Qualitative Research
AI-Powered Research
A method for identifying and organizing patterns of meaning across qualitative data sets.
See full definition →
Qualitative Research
Qualitative Research
A method for identifying and organizing patterns of meaning across qualitative data sets.
See full definition →
Frequently asked questions.

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