Interrupted Time Series (ITS) is a quasi-experimental design used to evaluate the impact of an intervention or event by analyzing changes in a time series of data points before and after the intervention. It is particularly useful for assessing policy changes, public health interventions, or any event where randomized control trials are not feasible.