Capture conversation and observation together

Conveo now captures and connects three critical layers of signal in every AI-led interview:

• Verbal - words, phrasing, and stated intent

• Vocal - tone, pace, pitch, and hesitation

• Visual - facial expressions, gestures, behaviours, and real-world context including brands, products, SKUs, and objects in the environment

These signals are detected and connected automatically, giving you a richer, more honest picture of how people actually feel and behave - not just what they choose to tell you.

Why this matters

The say–do gap is real. A participant might tell you they're indifferent between two brands, while their behaviour tells a completely different story.

In a recent e-commerce mission study, a participant never explicitly stated a brand preference. But behavioural and emotional signals revealed repeated consideration of one brand - and a subtle but consistent dismissal of a cheaper alternative. That insight would never have surfaced from words alone.

A pause. A nervous laugh. A confident "yes." A familiar product spotted in the background. Small cues like these provide important context, emotion, and evidence - and Conveo now picks them up at scale.

Ideal for

Multi-modal Analysis is particularly powerful for studies where context and behaviour are as important as what's said out loud:

• In-home ethnographies

• Mission-based research and shop-alongs

• CX and UX research

• Taste testing

• Prototype and concept optimisation

• Creative and ad testing