In this paper we study the usefulness of using confidence indicators derived from business surveys in the assessment of the state of economy and in short-term forecasting. For this purpose, we consider the relationship between the industrial confidence indicator and industrial production index in Romania and other European Union member states. We apply graphic methods to analyze the dynamics of variables considered, cointegration and causality tests, as well as the synchronization analysis of cyclical patterns of the confidence indicator and the industrial production index. The cyclic component of data series is extracted with Hodrick-Prescott filter and the identification of turning points is made with Bry – Boschan procedure. The results indicate that the industrial confidence indicator provides important information on the status and evolution of economic activity, although significant differences were found between the countries analyzed. For Romania, the confidence indicator is not Granger-cause for the reference series and the cycles of the two series do not have a strong synchronization, which restrict the use of the confidence indicator in assessing and forecasting the country’s economic activity.