This webinar will explain all the key steps needed for you to perform your own max-diff.
By the end of the webinar you will know how to: create the experimental design, arrange the fieldwork, setup the data, test for difference between sub-groups, segment, and, compute utilities for each respondent.
Two case studies will be presented. One looks at preferences for technology brands. The other looks at what people want from the US President.
Max-diff, sometimes known as best-worst scaling, is a technique for working out the relative preference that people have for different attributes or between different alternatives.
Presented by Tim Bock, CEO, Displayr