How can we uncover deeper insights to fix what’s holding our private-label dessert back?
A supermarket chain giant couldn’t figure out why their private-label dessert was underperforming compared to competitors. Initial research provided some answers, but not the full picture. They needed deeper, actionable insights.
Quantitative CLT testing combined with AI-driven qualitative solutions went beyond basic metrics to uncover key product attributes. However, the real value came from the Curion researcher who recognized there was a bigger story to uncover and used their expertise to deploy the right strategies to unlock those answers.
Curion developed a novel questionnaire designed to engage the consumer to provide additional natural reactions, then used AI to analyze thousands of open-ended responses, uncovering hidden insights and sensory desires that traditional research missed.
This approach went below surface-level issues into deeper consumer perceptions, offering a path to product improvement.
By stepping in with an AI-enabled approach, they discovered deeper consumer sentiments and perceptions, helping the client make informed, targeted improvements for their next product iteration.