The widespread proliferation of the coronavirus, further got propagated with the absence of any defined treatment or vaccine, however, Non-pharmaceutical interventions (NPI) and policy actions were taken by governments globally in an effective response to mitigating the spread of coronavirus (COVID-19). This also highlights the significance of quantifying the impact of these interventions to combat the pandemic. The pandemic continues to generate a huge amount of data variables from around the world such as the number of tests performed, cases confirmed, patients recovered, and mortality attributable to the novel coronavirus (COVID-19) virus. Researchers and governments are equally focusing on analysing the data to generate meaningful insights. To facilitate it an interactive SMAART RAPID Tracker policy informatics tool was developed with the aim to track geospatial spread of COVID-19 outbreak and policy actions globally. The objective of the present study is to describe design, development and pilot usage of SMAART RAPID Tracker. It was designed and developed using principles of Data, Information and Knowledge (DIK), Cognitive Fit Theory, and Information Processing Theory. SMAART RAPID Tracker includes four interactive modules such as Data, Policy, Digital and Insight. Data module gathers globally available COVID-19 and describes how virus infection rates, recovery rates, and fatality rates are trending. Policy Module lists information on guidelines, advisories, and policy actions for each country in response to COVID-19 pandemic. Digital resources module aggregates national and global digital resources available related to COVID-19. Moreover, the paper also discusses the descriptive analysis of dashboard usage obtained using Google Analytics from April 19-December 1 2020.