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Kano analysis for

test

Summary

You collected 1 response(s) between .

    These features received Questionable responses, meaning the feature was unclear to some surveyees. #TODO: who?

  • How would you feel about stores shutting at 2am
#TODO: any features that have responses that are all over the place?

Analysis

The default continous analysis takes into account response averages instead of counting response category frequencues. The result is a more fine-grained analysis.

Features inside the dotted area have received positive responses (i.e. Neutral->Like on presence and Neutra->Dislike on absence) and are therefore ranked higher.

# TODO Only show if features are outside of dotted area You should look into the features that have fallen outside of the dotted area, for these have received one or more Reverse responses.

The DuMouchel method scaling gives less weight to less strong responses to diminish their influence on the averages. Questionable responses are not counted in the averages. (#TODO: allow switch)

    These features received many Questionable responses, meaning the feature was unclear to surveyees.

  • How would you feel about stores shutting at 2am
Dislike
Live with
Neutral
Expect
Like
1
How would you feel if we delivered by drone
Attractive
2
How would you feel about stores shutting at 2am
Questionable
3
How would you feel about a free banana with every order
Reverse
4
how would you feel if we sold champagne houmous
Reverse

Discrete categorization

Discrete analysis simply counts the frequencies of response categories. Features that are in the same category are then ranked by frequency of Must-have, Perform, Attract (and reverse ranked by Indifferent, Reverse and Questionable frequency). This is the original method developed by Noriaki Kano.
Using the "" method. (Switch to )
Priority and feature Category Must-Be Performance Attractive Indifferent Questionable Reverse
1
How would you feel if we delivered by drone
Attractive 0 0 1 0 0 0
2
How would you feel about stores shutting at 2am
Attractive 0 0 1 0 0 0
3
How would you feel about a free banana with every order
Indifferent 0 0 0 1 0 0
4
how would you feel if we sold champagne houmous
Reverse 0 0 0 0 0 1
1
How would you feel if we delivered by drone
Attractive 0 0 1 0 0 0
2
How would you feel about stores shutting at 2am
Attractive 0 0 1 0 0 0
3
How would you feel about a free banana with every order
Indifferent 0 0 0 1 0 0
4
how would you feel if we sold champagne houmous
Reverse 0 0 0 0 0 1

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