Resumen: [EN] Judo is a complex sport where many key performance indicators from different ambits (tactic, technique, psychological, etc) impact over the final result of the combat. Then, in order to design optimal training plans for the athletes, decision-makers should carefully analyse the KPI not individually but globally, identifying and quantifying cause-effect relationships between them, being therefore able to align efforts and prioritise medium-long-term actions. In order to do this, and taking into account the difficulty of using statistical techniques because of not only the lack of historic data of the KPI but also due to the subjective nature of many of them, the multi-criteria decision analysis (MCDA) techniques come up as the most appropriate ones. There are many MCDA techniques that could be applied to solve this problem and then this research presents a three-step process to select and assess the most appropriate MCDA techniques using a recent framework. The process outcome nine MCDA techniques appropriate to solve the decision-making problem, being the Analytic Network Process the highest ranked and, therefore, the recommended to be used.
