Classifies and prioritizes product features using the Kano methodology to identify essential requirements and customer delighters.
The UX Kano Model skill provides AI-augmented feature classification to help product teams understand which capabilities satisfy, delight, or frustrate users. Based on the Kano et al. (1984) methodology, it categorizes features into Must-be, Performance, Attractive, Indifferent, and Reverse types using functional/dysfunctional questionnaire pairs. It goes beyond simple listing by calculating Customer Satisfaction (CS) coefficients for priority matrix visualization and providing survey design templates. This skill is essential for moving from subjective backlog debates to evidence-based roadmap decisions, calibrated by respondent sample size for statistical confidence.
主な機能
01Feature lifecycle analysis to track migration from 'Delighter' to 'Table Stakes'
02Calculation of Customer Satisfaction (CS) coefficients (Better/Worse) for priority mapping
03Confidence calibration based on sample size (directional vs. statistical classification)
04Generation of functional/dysfunctional survey design templates for team administration
05Automated classification into Kano categories (Must-be, Performance, Attractive, etc.)
0616 GitHub stars
ユースケース
01Resolving stakeholder disagreements on feature value with a structured, evidence-based framework
02Prioritizing a product backlog by identifying which features provide the most satisfaction impact
03Analyzing user research data to identify unique 'delighters' that differentiate a product from competitors
