Upload survey data to dynamically discover agent behaviour clusters, pain points, and system optimisation directions at each sales stage — cluster count and character are data-driven, not predefined
This section uses the K-means algorithm to group similar agents based on multi-dimensional skill and satisfaction ratings from the survey data—without pre-applying tenure groups or predefined qualitative archetype definitions. It helps explore the similarities and differences between data-driven clusters and research-defined personas.