Studies prove teams solve problems faster when they’re cognitively diverse. Cognitive diversity has been defined as the differences in perspective or information processing styles. A complementary next step to traditional DE&I programs, focused on demographics like age, sex, and ethnicity, cognitive diversity can also include the integration of artificial intelligence, machine learning, and bots as our workforce dynamics keep pace with modern needs and technologies.

The pace of change organizations face today demands agility, innovation, and the ability to do more with less. The AEM-Cube assesses differences in the ways people are energized by change on three axes measuring exploration, attachment, and complexity. Unlike traditional tools based on the psychology of how people feel or communicate (e.g., Myers-Briggs, DISC, StrengthsFinder, Predictive Index ), the AEM-Cube is based on ontology, orhow people are energized and get into action—so it’s ideal for environments of transformation and rapid change.

See why organizations like Apple, Harvard, Phillips, Stanford, and Heineken find the AEM-Cube so revolutionary.