What problem does it solve? Teams routinely build personas that overstate their evidence, invent demographic filler, or get laminated and ignored. This Skill turns synthesized research into honest user models that state exactly what they can and cannot claim, so design decisions rest on real evidence instead of assumption laundering. ## Core Features & Use Cases - Persona type selection: Decision tree for choosing proto, qualitative, or statistical personas based on available data, with an honesty table stating what each type can and cannot claim. - Behavior-based clustering: Clusters synthesized attributes into 2-4 personas by shared goals and behaviors, merging or cutting clusters that drive no distinct design decisions. - JTBD writing: Writes Jobs-to-be-Done statements with situation, outcome, and functional plus emotional success criteria, keeping solutions and feature words out. - Use Case: After synthesizing 9 user interviews into themes, use this Skill to cluster the themes into two evidence-tagged persona cards and three JTBD statements, each stamped with its type and limitations. ## Quick Start Build personas and JTBD statements from my synthesized interview themes, and state what each persona type cannot claim.
