What problem does it solve? Product teams struggle to decide which features to build first and which are merely table stakes versus differentiators. This Skill applies the Kano Model methodology (Kano et al., 1984) to classify features into Must-be, Performance, Attractive, Indifferent, and Reverse categories using functional/dysfunctional survey question pairs, then computes Customer Satisfaction (Better/Worse) coefficients to produce a priority matrix. ## Core Features & Use Cases - Survey Design: Generates ready-to-administer Kano questionnaires with functional/dysfunctional question pairs and the standardized 5-point response scale. - Response Classification: Maps survey answers through the canonical 5x5 evaluation table, computes Better/Worse CS coefficients, and builds a 4-quadrant priority matrix. - Confidence Calibration: Adjusts classification confidence by sample size (5-8 respondents = directional/MEDIUM; 20+ = statistical/HIGH per Berger et al., 1993) and flags split classifications for domain expert resolution. - Use Case: You have a backlog of 12 dashboard features and survey responses from 25 users. Invoke the skill to classify each feature, rank Must-be gaps for immediate implementation, and identify Attractive delighters for differentiation. ## Quick Start Ask the ux-orchestrator to classify your feature backlog with Kano analysis by providing a feature list and, optionally, completed survey response data.
