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The integration of small unmanned aircraft systems (sUAS), commonly referred to as drones, into law enforcement practices has become an increasingly relevant topic as more agencies adopt this technology for various operations. This thesis aims to explore the effectiveness of sUAS programs in law enforcement by identifying key variables that influence program outcomes and by providing data-driven guidance on best practices for implementation. Specifically, the research investigates how factors such as fleet size, funding sources, geographic location, and initial goal and objective setting affect the success of drone programs. Through a mixed-methods approach, the study first uses a quantitative survey to gather data on drone program variables from law enforcement agencies across the U.S., followed by qualitative interviews with drone coordinators to better define what constitutes a "successful drone program." This study also seeks to offer insights into the operational challenges and outcomes of drone use, particularly focusing on the costs, implementation obstacles, and the overall effectiveness of drone integration in public safety. Findings from the survey and interviews will inform best practices for agencies considering the adoption or expansion of sUAS programs, guidance in implementing consistent department sUAS pilot training, and considerations for drone program evaluation.