Kano Strategy

What is Kano Strategy?

The Kano Strategy is a product development framework that categorizes customer satisfaction with product features based on how well those features meet or exceed customer expectations. Developed by Noriaki Kano, a professor emeritus at Tokyo University of Science, this model helps businesses prioritize which features to implement or improve to achieve the highest customer satisfaction and competitive advantage.

Understanding customer needs is crucial for product success. However, not all features contribute equally to satisfaction, and some can even lead to dissatisfaction if poorly implemented. The Kano model provides a structured way to differentiate between basic needs, performance needs, and delighters, guiding product teams in their strategic decision-making.

By analyzing customer responses to different features, companies can move beyond simply asking what customers want and delve into understanding the underlying psychological impact of those features on satisfaction. This approach allows for more targeted product development, resource allocation, and ultimately, a more successful product launch or iteration.

Key Takeaways

• The Kano Strategy categorizes product features into Must-be, One-Dimensional, Attractive, Indifferent, Reverse, and Questionable qualities.
• Must-be Quality features are expected and lead to dissatisfaction if absent, but do not increase satisfaction if present.
• One-Dimensional Quality features lead to satisfaction when present and dissatisfaction when absent, directly correlating with customer expectations.
• Attractive Quality features are unexpected and delight customers when present, but do not cause dissatisfaction if absent.
• The model helps prioritize product development efforts by identifying which features will have the most significant impact on customer satisfaction.

Understanding Kano Strategy

The Kano model is typically applied through a survey that asks users how they would feel if a feature were present and how they would feel if it were absent. Based on their answers, features are categorized:

• Must-be Quality (Basic Needs): These are the fundamental requirements customers expect. Their absence causes significant dissatisfaction, but their presence does not increase satisfaction beyond a neutral level. Examples include basic safety features in a car or reliable internet connectivity for a streaming service.
• One-Dimensional Quality (Performance Needs): The level of satisfaction is directly proportional to the level of functionality. The better the performance, the higher the satisfaction, and vice versa. Examples include fuel efficiency in a car or streaming speed for a video.
• Attractive Quality (Delighters): These are features that customers do not expect. Their presence leads to high satisfaction, but their absence does not cause dissatisfaction. These are often innovative features that can differentiate a product. Examples include a car’s advanced navigation system or a streaming service’s personalized recommendations.
• Indifferent Quality: Customers are indifferent to these features; their presence or absence has little to no impact on satisfaction.
• Reverse Quality: Features that lead to dissatisfaction if present and satisfaction if absent. This category often arises from over-engineering or features that complicate the user experience.
• Questionable Quality: Responses that are inconsistent or suggest a misunderstanding of the question.

Product teams analyze the survey results by calculating the ‘satisfaction coefficient’ for each feature. This coefficient helps quantify the impact of each feature category on customer satisfaction, guiding resource allocation towards features that will yield the greatest positive return.

Formula (If Applicable)

While there isn’t a single, universally applied mathematical formula for the Kano Strategy itself, the satisfaction and dissatisfaction coefficients are calculated to quantify the impact of features. For a given feature, these are calculated as follows:

Satisfaction Coefficient (Sc):

Sc = (A + O) / (T)

Where:

• A = Number of respondents who prefer the functional state (e.g., feature present)
• O = Number of respondents who are excited about the functional state
• T = Total number of respondents for that feature (functional + dysfunctional)

Dissatisfaction Coefficient (Dsc):

Dsc = (N + L) / (T)

Where:

• N = Number of respondents who are disappointed by the functional state (e.g., feature present)
• L = Number of respondents who are low-key about the functional state
• T = Total number of respondents for that feature (functional + dysfunctional)

These coefficients, typically ranging from -2 to +2, help prioritize features: attractive qualities have high Sc and near-zero Dsc, one-dimensional qualities have Sc and Dsc with the same sign, and must-be qualities have low Sc and highly negative Dsc.

Real-World Example

Consider a smartphone manufacturer developing a new model. Using the Kano Strategy, they might survey potential customers about various features.

They might ask about battery life: