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When designing a clinical trial, multiple factors must be considered. The statistician focuses on options with high statistical power, while the clinical director considers duration and cost. The clinical operations lead adds enrollment constraints. The clinical development team must balance these objectives and constraints to make a final decision. Imagine yourself with a familiar task of designing a clinical trial. As usual, you are faced with a multitude of alternatives for a possible course of action. Which one should you take? If you, the statistician, were the sole decision maker, you may want to focus on the trial design options that have the highest statistical power. At the same time, the clinical director, as the decision maker, may want to focus on a course of action that has the shortest duration and lowest cost, while the clinical operations lead may temper everyone's expectations with a series of enrollment constraints. In other words, when making its final choice for trial design, the clinical development team must satisfy multiple objectives and constraints. This turns the selection of a clinical trial design into a multiple objective decision making problem. Imagine yourself with a familiar task of designing a clinical trial. As usual, you are faced with a multitude of alternatives for a possible course of action. Which one should you take? If you, the statistician, were the sole decision maker, you may want to focus on the trial design options that have the highest statistical power. At the same time, the clinical director, as the decision maker, may want to focus on a course of action that has the shortest duration and lowest cost, while the clinical operations lead may temper everyone's expectations with a series of enrollment constraints. In other words, when making its final choice for trial design, the clinical development team must satisfy multiple objectives and constraints. This turns the selection of a clinical trial design into a multiple objective decision making problem.