ABSTRACT The COVID-19 crisis has caused unprecedented disruptions to all facets of postsecondary education. As open-access institutions serving diverse students, community and technical colleges have responded to pandemic-imposed challenges through numerous adaptations. To bring clarity and purpose to community and technical colleges’ institutional decision-making during times of crisis, we used text mining techniques to identify patterns underlying change and adaptations since March 2020 based on text data from weekly newsletters published by a 2-year college system in a Midwestern state. Our findings indicate that community and technical colleges strove to meet their core institutional mission and centered student needs during the crisis. Specifically, the colleges emphasized accessibility, flexibility, and continuity of education. However, we also identified a lack of depiction of important issues, such as support for faculty/staff and an explicit focus on issues of diversity, equity, and inclusion. Our study also demonstrates text mining techniques as an innovative toolkit to support community and technical colleges with data-informed decision-making to enhance institutional effectiveness.