Qualitative Research

Focus Groups

Focus Groups

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Conveo automates video interviews to speed up decision-making.

Definition:

Focus groups are a core qualitative research method in which a trained moderator guides a small group of participants through a structured discussion to uncover shared and divergent views on a product, service, concept, or experience. The interactive format encourages participants to build on each other's responses, surfacing insights that might not emerge in one-on-one settings. Widely used in consumer research, brand strategy, and product development, focus groups help enterprise teams understand the language, emotions, and reasoning behind customer behaviour. When conducted rigorously, they provide a strong foundation for hypothesis generation, concept testing, and strategic decision-making across the research lifecycle.

How Conveo Does It

Conveo brings focus group research into the modern enterprise through AI-moderated video interviews that capture the depth of group-style qualitative inquiry at scale. Teams can launch a study in under 30 minutes and receive synthesised findings within days, not weeks. Every session involves real participants recruited to your specifications, never synthetic respondents or AI avatars, ensuring the insights reflect genuine human attitudes and experiences. This approach makes it practical to run enterprise-scale qualitative research without sacrificing rigour or speed.

Frequently asked questions.
Focus groups are moderated group discussions used to explore how people think and feel about a specific topic. Typically involving six to ten participants, they allow researchers to observe how opinions form, shift, and interact in a social setting. The format is particularly effective for concept testing, brand perception studies, and understanding the language customers use to describe their experiences.
Focus groups give enterprise teams access to the reasoning and emotion behind customer behaviour, not just what people do but why they do it. They are especially valuable early in the research process, when teams need to frame problems, generate hypotheses, or stress-test assumptions before committing to larger quantitative studies. The group dynamic often surfaces tensions, trade-offs, and nuances that structured surveys are not designed to detect.
Focus groups rely on group interaction to generate insight, making them well suited to exploring social norms, shared attitudes, and how opinions are influenced by peers. Individual interviews, by contrast, allow for deeper personal exploration without group pressure shaping responses. Researchers often use both methods together, with focus groups providing breadth and social context, and individual interviews providing depth on sensitive or complex topics.
AI is reshaping focus group research by automating moderation, real-time transcription, and thematic analysis, reducing the time between fieldwork and insight delivery significantly. AI-powered platforms can probe responses dynamically, flag emerging themes, and synthesise findings across multiple sessions simultaneously. This allows research teams to run more studies, reach more participants, and surface patterns faster than traditional in-person or video-conferencing formats typically allow.
Enterprise teams use focus groups at multiple stages of the research cycle, from early discovery to post-launch evaluation. Common applications include testing new product concepts, exploring brand positioning, understanding customer pain points, and evaluating communications before they go to market. Insights teams often run focus groups in parallel across different customer segments or geographies to identify both common themes and meaningful differences that inform strategic decisions.
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