Process Oriented Guided Inquiry Learning (POGIL) is becoming increasingly popular in computer science as an evidence based teaching strategy. From 2017–2022, the IntroCS-POGIL project supported 50 faculty at 38 institutions in the United States to adopt POGIL in their CS1 courses. The faculty participated in workshops over the summer, mentoring groups during the academic year, and other professional development activities. At the end of each semester, the faculty completed a survey about their implementation of POGIL and submitted a summary of their students’ grades to the research team. The data included the number of A, B, C, D, F, and W grades disaggregated by gender and ethnicity, including all students who enrolled in the course. In addition to the current semester, faculty submitted grades for a previous semester when they taught the same course without POGIL. This poster presents an analysis of the grade data using an ordinal logistic regression model. Most faculty had a slight (but not significant) increase of student success rates during the first and second semesters they taught with POGIL. The poster will summarize the regression model and present a detailed visualization of 11 faculty that show both positive and negative results of the analysis.