Intelligent Tutoring Systems are highly effective at helping students learn, but have required intensive amounts of development time in the past, keeping teachers from making their own. Data-driven tutoring has made it possible to build these tutors more efficiently. For my thesis work, I intend to build an authoring tool for data-driven tutors that is designed to be used by computer science teachers. I plan to design this system based on data gathered in interviews with CS educators and evaluate it on its usability for new users.