Interrupted time series design is a quasi-experimental research method used to assess the impact of an intervention by analyzing changes in a time series of data before and after the intervention. It is especially useful when randomization is not feasible, allowing researchers to infer causal relationships by observing trends and shifts in the data attributable to the intervention.