Abstract: This paper seeks to apply rough sets algorithm to improve the effectiveness and efficiency in
customer satisfaction survey, identify condition attributions that affect product marketing by data mining
on raw data acquired through questionnaire surveys, extract decision rules of these attributions combination,
provide an innovative research approach on user driven design method and market exploitation. The
research is to complete the combination, reduction of the condition attributions and calculation of their
core, conduct induction and screening of decision rules and significance computing of attributions, and
to obtain design rules of suitcases with the questionnaire survey data for well-known enterprise on
product objects, reveal that there are only six key condition attributions affect effectively the product
market performance, it is necessary to according to the design rules that the dependence relationship is
objective existence between discrepant level properties and market performance to implement R&D and
marketing policy as a whole. Suitcase design should return to its origin, pay more attention to overall
effect of product, unique and novelty of appearance, selection of high-quality fabrics, and should not
focus too much mind and emotions on slick function innovation and extra finishing details.

Key words: rough sets, data mining, suitcases, design rules, uses orientation