We examined Boston Mutual’s desired outcomes—such as loyalty and premium size. We then developed a survey assessment model.
sixQ loaded 1,000 survey responses directly into the cloud-based software.
sixQ performed cluster analysis on the buyer persona sub-dimensions to identify meaningful patterns. Then we performed multiple regression analyses and provided descriptive statistics, such as averages and distribution, in the sixQ cloud-based software.
We presented preliminary results in sixQ with tactics mapped to strategies to provide clarity on implementation (how) in addition to strategy (what, why). A sixQ PhD then facilitated a working session with Boston Mutual’s Persona Steering committee, which agreed on the key findings and subsequent changes to implement.