Abstract: Crowdsourcing has recently gained a lot of attention as a tool for knowledge acquisition. With the rapid and huge development of crowdsourcing platform, more and more research will focus on not only the scale of crowdsourcing but also the efficiency and the effective of crowdsourcing. This paper reports on the first attempt on the relationship among crowdsourcing platform environment, solver’s motivation and solver’s successful rate. To this aim, we use http://www.680.com to run data collected from solvers in its platform with a 7 minutes Survey. We use Multiple Regression and Binary Logistic Regression to analysis data and discuss the results. In this paper, we analysis five platform environments that are reliability,creative, communication among solvers, study behavior among solvers, recommendation and four motivations that are external motivation, entertainment motivation, recognition motivation and belonging motivation. The result indicates through recognition motivation and belonging motivation, platform environment has a significant influence on solver’s successful rate.