Interactive Stratified Attribute Tracking (iSAT) enables users to visually analyze transition dynamics of students in their class or research context. iSAT web tool visualizes simple csv data of student's attributes, highlighting proportion of predefined sub groups and tracking their migration patterns across the attributes.For example, given performance and engagement data of students, teachers can classify high-medium-low levels for each and track migration patterns of achievement levels to engagement levels. Patterns that emerge across different attributes or time can be used for data-informed decision making in that specific context.