When there is a need to optimize some of the features of a product, the Kano model can be used to categorize the features and analyze the requirements qualitatively. This is where the Kano model comes in.
The KANO model is a useful tool for categorizing and prioritizing user needs. It is based on analyzing the impact of user needs on user satisfaction, and reflects the non-linear relationship between product performance and user satisfaction.
The requirements are categorized into 5 types based on satisfaction: Basic/Essential, Desired, Charming, No Difference, and Reverse
Basic/Essential: This is the basic requirement of the product, and if it is not met, user satisfaction will be greatly reduced. But no matter how the essential attribute is improved, the customer will have an upper limit of satisfaction;
Desired: If the feature is provided, the customer satisfaction will increase, if the feature is not provided, the customer satisfaction will then decrease;
Charming: Attribute that makes the user feel surprised, if the attribute is not provided, it won't decrease the user satisfaction, once the charismatic attribute is provided, the user satisfaction will Once the charm attribute is provided, user satisfaction will increase dramatically;
No-difference type: no matter whether this feature is provided or not, user satisfaction will not change, and users don't care whether they have this feature or not.
The steps of Kano model are as follows:
(1) Organize the features that need to be analyzed;
(2) Design the questionnaire;
(3) Implement the effective questionnaire;
(4) summarize the structure of the analysis, quantitative tables;
(5) requirements classification, prioritization
Specific steps are as follows:
1. For example, to do the Kano model analysis of the home page of the Bag Deer Travel website navigation, travel plans, personalized cover and other features
2. Design the survey questionnaire (the survey question contains both positive and negative)
Specific questionnaires are as follows:
3. The questionnaire will be issued to the research user, fill out the questionnaire
4. Summary of the results of the research (the attitude of the questionnaire into numbers or letters, the following will be too much into the number 5 on behalf of the very much like, 1 that is very much do not like)
Classification of each function/module
Specific home page navigation and travel plan
5. Categorize and rank the requirements based on the results
According to the better-worse coefficient, projects with higher absolute coefficient scores should be prioritized for implementation.
Increased satisfaction factor (better): Better=(A+O)/(A+O+M+I)=? (Charisma factor + Expectation factor)/(Charisma factor + Expectation factor + Essential factor + No difference factor)
Dissatisfaction coefficient after elimination (worse): Worse/DSI=-1*(O+M)/(A+O+M+I)=? (Expectation Factor + Required Factor)/(Charisma Factor + Expectation Factor + Required Factor + No Difference Factor) x (-1).
A Better coefficient greater than 0.5 means that more than 50% of the valid data think "I like this attribute and feature if it exists"
A Worse coefficient greater than 0.5 means that more than 50% of the valid data think "I don't like this attribute and feature if it exists". I don't like this attribute and function"
Determine the quadrant of the function according to the better-worse coefficient
Functional Prioritization: Sort the functions of the statistics according to the classification of requirements. Generally according to: Essential factors > Desired factors > Charming factors > No difference factors.