How do you update and refine the Kano model based on customer feedback and changing expectations?
The Kano model is a useful tool for understanding and prioritizing customer needs and preferences. It helps you categorize features into three types: basic, performance, and delighters. Basic features are expected and essential, performance features are proportional and competitive, and delighters are unexpected and surprising. But how do you keep the Kano model relevant and accurate over time, as customer feedback and expectations change? In this article, you will learn how to update and refine the Kano model based on four steps: collect, analyze, validate, and implement.