Our client Visa was looking to replace their black-box proprietary brand equity model with a strong metric that works as leading indicator for the company.
Together with Christina Willert from Dynata, our director Martin will tell you about our brand new self-learning algorithm developed to make product and name testing more efficient.
Conventional monadic designs allow for realistic research conditions, but tend to be time-consuming and costly. We created an algorithm that combines the strengths of monadic designs with machine learning: Therefore, sample is automatically distributed more efficiently during field - yielding more information on top concepts.
Learn more by joining the free webinar on June 13th, 11am!