Interactive Stratified Attribute Tracking(iSAT)diagram is a visual analytics tool for cohort analysis.Instructors can use it to visualize transitions of group of students during teaching-learning activities.In this paper we show how iSAT can be used to analyze clicker responses during a Peer Instruction(PI)activity.PI is an active learning strategy where instructor poses a deep conceptual multiple-choice question that the students have to first answer individually.It is followed by a peer discussion phase after which they re-vote their answer.Clickers are often used to collect those votes and histograms visualize the distribution of responses in the pre and post phases of voting.PI is analyzed by its learning gain across these phases.We show the use of iSAT to analyse clicker data and in real-time elaborate the transitions of participants responses during various voting phases.Such transition patterns are neither available in multiple histograms of individual voting phase nor generated in real time to be visualized as a flow diagram.It is also cumbersome to analyze learning patterns for more than two phases of voting from any static diagram.We believe that interactive visual analytics gives the instructor the affordance of understanding the dynamics of the class during a PI session and thereby engage in informed planning for the next activity.We consider reported data from an Introduction to Computer Architecture course where PI was conducted as our working example.We regenerate the data and visualized it as an iSAT diagram.We further categorize the various transition patterns of PI clicker responses which emerge with the help of that example and classify them into Aligned,Returns,Starburst,Slide,Attractor,Switching and Void.We conclude by highlighting the power of iSAT for instructors to do cohort analysis in their teaching learning practice.