Exploratory Sequential Data Analysis (ESDA) is used to analyze sequential data to identify patterns over time in order to help understand systems, environments, and behaviors. ESDA analyzes preserved sequential data in an exploratory manner guided by methodological traditions to seek meaning related to a research or design question. It is used to observe what people do over time and includes both quantitative techniques like statistical analysis and qualitative techniques like interaction analysis. An example of ESDA output is a timeline that shows the lag sequential analysis of events.