What problem does it solve? Teams often treat their users as one homogeneous group or segment them by superficial traits like job title, which hides the distinct groups with different behaviours, needs, and pains inside the user base. This Skill turns raw feedback and usage data into a grounded segmentation model. ## Core Features & Use Cases - Behaviour and needs clustering: Extracts usage modes, journeys, jobs-to-be-done, and pains from feedback, interviews, support tickets, usage logs, and surveys, then clusters them into at least three distinct, non-overlapping segments. - Structured segment profiles: Produces for each segment a name, size estimate, behaviour description, motivations, unmet needs, current fit assessment, improvement opportunities, and an invest/maintain/de-prioritise recommendation. - Use Case: A product team with hundreds of mixed survey responses and support tickets uses this Skill to discover that their users split into four groups with very different workflows, then prioritises the roadmap toward the highest-value segment. ## Quick Start Analyse the attached user feedback and usage data and segment our user base into distinct behaviour- and needs-based groups with a profile for each.
