Interview-Based Clustering

Interview-Based Clustering is a method that groups individuals based on insights collected from interviews. By analyzing responses, patterns emerge that reveal common traits, preferences, or behaviors among interviewees. Instead of relying solely on numerical data, this approach uses qualitative information to identify natural clusters or segments within a population. It’s useful for understanding diverse perspectives, tailoring services, or developing targeted strategies. Essentially, it transforms detailed interview narratives into meaningful groups, helping organizations make informed decisions based on the shared characteristics found through the interviews.