What problem does it solve? Raw user feedback, interviews, and support tickets are hard to act on when every user looks the same. This Skill analyzes that data to surface at least three distinct behavioral and needs-based user segments, so product decisions target real groups instead of averages. ## Core Features & Use Cases - Behavioral Clustering: Groups users by usage patterns, jobs-to-be-done, and motivations rather than demographics. - Rich Segment Profiles: Produces segment size estimates, pain points, product fit assessment, churn risk, and differentiated value propositions for each segment. - Prioritization Guidance: Scores each segment on strategic importance and implementation difficulty with an invest, maintain, or de-prioritize recommendation. - Use Case: After collecting 50 customer interviews and support tickets for a SaaS product, use this Skill to identify distinct segments such as power users, occasional collaborators, and evaluators, then decide which segment to build for next. ## Quick Start Segment the users of my product based on the attached customer interview notes and support tickets.