In order to overcome the problems due to subjective judgments in the traditional product requirement acquisition techniques based on the “users’ voices,” a new data-based approach is developed in this research to identify the performance requirements for design of smartphones. The operating data are collected from smartphones and curve fitting method is used to obtain the performance distributions. The sigmoidlike function is employed to construct nonlinear customer satisfaction function (CSF) based on the performance distributions. From the CSF, customer required performance with a target satisfaction degree can be obtained. The cost-effective point for satisfaction improvement is determined to get a reasonable degree of satisfaction. A case study is conducted to identify the customer requirements on CPU performance based on the collected CPU utilization data.

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