This paper is an extended version of the work published in [1]. We ex-tended our previous work by the proposed model representation and more experi-mental result. Almost every service in the current era are either managed or oper-ated with the help of digital services to manage their customer’s activities. So digital service providers are engaging in different ways with the users to know their feedback about the service. Traditional methods for understanding user satis-faction from their direct feedback or survey. Both of these methods might produce biased result due the limited user participations. Therefore, knowledge manage-ment of user activities with the digital service could be an alternative approach for identifying satisfied users. In the previous work [1], we have presented a data sci-ence model. In this paper, more result using the proposed data science model have been presented to prove that the proposed model is workable to measure success-ful digital services.