Qualitative Research
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Qualitative insights at the speed of your business
Conveo automates video interviews to speed up decision-making.
Definition:
A concept board is a structured visual stimulus used in qualitative research to represent an idea, product, brand positioning, or creative direction in a form participants can evaluate and respond to. Unlike a finished product or polished advertisement, a concept board is intentionally rough enough to invite honest feedback without anchoring participants to execution details. In consumer and market insights (CMI) research, concept boards are commonly used during concept testing, innovation sprints, and brand development to surface emotional reactions, unmet needs, and language that resonates. When used well, a concept board gives researchers a reliable window into how consumers interpret and value an idea before significant investment is made in development or production.
How Conveo Does It
Conveo supports concept board research through AI-moderated video interviews where participants view and respond to concept boards in their own environment, on their own schedule. Teams can upload concept board stimuli directly into a study, launch in around 30 minutes, and receive findings from real participants within days. Because sessions capture voice, video, and facial cues alongside verbal responses, Conveo surfaces the emotional texture behind reactions that a text survey or static screener would miss entirely.
Related terms.
Brand Concept & Messaging
Concept Validation
Learn what concept validation means in qualitative research and how AI-moderated interviews help enterprise teams validate ideas with real consumers in days.
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Qualitative Research
Qualitative Research
Learn what qualitative research is and how AI-powered platforms like Conveo help enterprise teams run faster, deeper studies with real participants at scale.
See full definition →
Brand Concept & Messaging
Concept Testing
Concept testing evaluates a new product, message, or idea with target customers before launch. Explore common methods, key metrics, and how to run faster tests.
See full definition →
Frequently asked questions.
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