This paper explores the operational efficacy of an Iron Ore sample preparation laboratory using the Overall Equipment Effectiveness (OEE) model. Addressing the discrepancy between the laboratory's production capacity and the client's expectation of reduced turnaround time, the study investigates the impact of operational inefficiencies on customer satisfaction. Employing a mixed-methods approach, the research combines quantitative data from a time and motion study with qualitative insights from interviews and observations. The findings reveal that by eliminating planned stops, an increased target of six batches per day could be achieved, enhancing the monthly output, and addressing the current backlog. Quality checks embedded in the Laboratory Information Management System (LIMS) ensured 100% process quality with no reworks observed during the study period. The study concludes that optimizing the performance metric across workstations is pivotal to improving productivity and overall operational efficacy, with the potential to reduce sample turnaround time significantly. Recommendations include comprehensive training for personnel, implementation of pre-emptive screen tests, and ergonomic adjustments to the equipment. For future research, the paper suggests comparative studies across diverse laboratory settings, the adoption of experimental designs for empirical validation of improvements, and the use of simulations and qualitative methods to predict outcomes and understand operational challenges comprehensively.