Kano Model
A theory of product development that classifies features into categories based on how they affect customer satisfaction: basic needs, performance needs, and delight factors. It reveals that not all features contribute equally to user happiness.
The Kano Model helps teams understand that customer satisfaction is not linear. Basic needs (like reliability) cause dissatisfaction when absent but do not create delight when present. Performance needs (like speed) scale linearly with satisfaction. Delight factors (like unexpected personalization) create disproportionate satisfaction but are not expected. Over time, delighters become basic expectations as competitors adopt them.
This framework is highly relevant to AI product strategy. Many AI features start as delighters: an unexpected smart suggestion that saves time feels magical. But as AI becomes ubiquitous, these features shift to performance needs or even basic expectations. Growth teams should use Kano analysis to identify which AI capabilities still create genuine delight versus which have become table stakes. This informs both feature development and marketing messaging. Investing in AI features that are already basic expectations across your competitive set prevents churn, while identifying new delight opportunities drives acquisition and word-of-mouth growth.
Related Terms
Product-Market Fit
The degree to which a product satisfies strong market demand. Achieving product-market fit means customers are actively seeking, using, and recommending your product because it solves a real and pressing problem for them.
Jobs to Be Done
A framework that defines customer needs as functional, emotional, and social jobs people hire products to accomplish. It shifts focus from demographic segments to the underlying progress customers are trying to make in specific circumstances.
Minimum Viable Product
The simplest version of a product that can be released to test a core hypothesis with real users. An MVP delivers just enough functionality to gather validated learning while minimizing development time and cost.
Minimum Lovable Product
An evolution of the MVP concept that emphasizes delivering enough quality and delight that early users genuinely love the product. It balances speed-to-market with the emotional engagement needed to drive organic word-of-mouth growth.
Design Sprint
A five-day structured process for rapidly prototyping and testing ideas with real users. Developed at Google Ventures, it compresses months of debate into a focused week of mapping, sketching, deciding, prototyping, and testing.
Lean Startup
A methodology for developing businesses and products through validated learning, rapid experimentation, and iterative releases. It emphasizes reducing waste by testing assumptions before building fully-featured solutions.