This paper describes the use of a novel research platform called SenseMaker® to collect and analyze real-time data in the form of participants' qualitative accounts of COVID-19 along with online learning experiences and participants' own quantitative assessments of those experiences. Participants were faculty, students, and staff in the College of Engineering at the University of Georgia during Spring 2020. Results from two waves of data collection informed real-time recommendations to College faculty and administration to address COVID-19-related challenges. Results also facilitated faculty development programming to build instructor communities of learning and support in response to the University's transition to online learning.