What problem does it solve? Teams routinely get personas that are invented demographic fiction — plausible-sounding characters with no research basis, needs inferred from age and income, and lifestyle trivia that never changes a design decision. This Skill replaces that failure mode with a disciplined process for building audience-understanding artifacts grounded in real research. ## Core Features & Use Cases - Lens selection by objective: Decides between personas, Jobs-to-Be-Done, or both based on research objective, product stage, available data, and resources. - Research-grounded construction: Enforces psychographics-first detail, keeps only attributes that change a design decision, caps the set at roughly 3-5 personas with one primary, and labels proto-personas as untested assumptions. - Validation hand-off: Routes the finished artifact through an assumption-rigor audit to flag needs and behaviors that rest on assumption rather than evidence. - Use Case: A PM asks for personas for a new onboarding flow. The Skill first asks what research exists, recommends JTBD plus a proto-persona given only early interview data, drafts decision-relevant profiles, and flags which claims still need validation. ## Quick Start Ask the assistant to create user personas or a Jobs-to-Be-Done framing for your product, describing what research data you already have.
