Penalty Reward Analysis and Kano

[Kaska]

For a customer sat study, has anyone come across using Kano analysis like this:
Asking respondents to rate various customer service, sales, product attributes using stated importance and satisfaction on a 1-10 scale. In the analysis, one would compare highly correlated attributes with the stated importance in a 2X2 matrix. Upper right would be performance attributes (high corr, high imp), upper left would be attractive/delight attributes, bottom right would be basic attributes and lower left would be "unimportant" attributes.
I'm trying to compare this technique to another one which is called Penalty-Reward analysis which looks at satisfaction by expectation and examines the significant differences between the percentages of those feel the attribute is deficient (does not meet exp) vs. those who feel it meets or exceeds expectations. This analysis is based on a paper by Randall Brandt.
It is possible that both techniques get at the same answer but the key is to make sure that the survey instrument actually includes attributes which you believe are basic, performance and delight factors. If the survey instrument only includes performance attributes, then most likely the responses will be high in imp and high in derived imp. and neither of these techniques is needed. Any comments?