What problem does it solve? UX researchers and designers often need to synthesize raw user data and interview notes into actionable personas, which is time-consuming and inconsistent when done manually. This Skill automates persona generation by analyzing behavioral patterns, demographics, and psychographics from structured user data. ## Core Features & Use Cases - Data-Driven Persona Generation: Analyzes user data (usage frequency, devices, features, pain points) to identify archetypes like power users, casual users, business users, and mobile-first users. - Research Synthesis: Aggregates demographics, extracts psychographics, identifies needs and frustrations, and generates usage scenarios with design implications. - Confidence Scoring: Reports sample size and confidence level (High/Medium/Low) based on the number of users analyzed. - Use Case: A product team has survey data from 50 users and interview notes. They run the persona generator to produce a formatted persona with goals, frustrations, scenarios, and design implications to guide their next design sprint. ## Quick Start Ask the AI to run the persona generator script with your user research data to produce a formatted persona profile with design implications.
