It had been known that the main objective of adding service was creating value to improve customer satisfaction. Therefore, ifrncustomer satisfaction was plotted in time series variable, service reliability function was reflected. The benefits obtained from understandingrnthe service reliability function were knowing the trend of service life cycle and analyzing the time to react for service in order that therncompany could offer service innovation before the service became unfavorable. This research was aimed to analyze service reliability functionrnby using the definition concept of product reliability function which was called survival analysis. To reduce bias data because of linguisticrnvariable such as customer satisfaction, fuzzy logic was used in this research. The data was collected by doing a survey to 100 SAMSATrncustomers about their satisfaction. SAMSAT is a public unit giving service in tax. Then, fuzzied customer satisfaction was plotted inrntime series to describe the survival analysis of service. In other words, the plotting result was used to determine the right time for innovatingrnservice. So, the conclusion was drawn that survival analysis implemented in service field could help the managerial level in terms ofrninnovation management. In addition, fuzzy logic used could bold the bias definition of customer satisfaction. Furthermore, this frameworkrnwould be able to be used in mobile application development for future research in terms of supporting a company to define the right momentrnof service innovation based on asimple customer satisfaction survey.