This research introduces a practical method for assessing the collective impact of feature sets on adoption rates, extending beyond traditional MaxDiff and TURF analysis. While TURF assumes that one feature can reach a customer, our approach recognizes the necessity of multiple must-have features for convincing consumers. Particularly valuable when evaluating extensive feature lists with numerous "must-haves" and when a Conjoint exercise isn't feasible, our method surpasses conventional techniques such as simple select questions or TURF.
