Here is the Kano graphs :

Need

1-Steps while performing Kano analysis

2-OutcomeAnalysis, insights, conclusion

for the below attached graphs .I have created survey , collected responses . I would want to understand Satisfaction and Dissatisfaction index

Must-be Performance Attractive Indifferent Reverse Questionable Category #1 Intelligent Task Delegation -. 16% (3) 16% (3) 32% (6) 32% (6) 0% (0) 5% (1) Attractive #2 Seamless Integration with S.. 16% (3 ) 11% (2) 47% (9) 16% (3) 0% (0) 11% (2) Attractive #3 Enhanced Personalization a. 16% (3) 5% (1) 37% (7 ) 26% (5) 5% (1) 11% (2) Attractive #4 Voice Recognition -enhance. 16 % (3) 21% (4) 32% (6) 11 % (2) 11 % (2) 11 % (2) Attractive #5 Multi-language support-use. 0% (0) 21% (4) 26% (5) 37% (7) 0% (0) 16% (3) Indifferent #6 Offline support-home assist. 11 % (2) 26% (5) 37% (7) 16% (3) 0% (0) 11 % (2) Attractive * statistically significant (Fong test)4 Attractive Performance #2 #6 3 #4 #1 #3 #5 The continuous analysis pictures the average evaluation of features on a Functional 2 continuous scale. Therefor, the average response for the functional and Indifferent Must-be dysfunctional question is calculated, whereby the response "I dislike it" gets the value 0 and the response "I like it" the value 4. Accordingly, the features are put into the 2-dimensional coordinate system. 2 3 4 DysfunctionalDysfunctional (Feature is absent) Questionable Attractive Attractive Attractive Performance Reverse Questionable Indifferent Indifferent Must-be (Feature is present) Functional Reverse Indifferent Indifferent Indifferent Must-be Reverse Indifferent Indifferent Questionable Must-be Reverse Reverse Reverse Reverse Questionable