One of the urgent tasks facing the Ministry of the Russian Federation for Civil Defense, Emergency Situations and Elimination of Consequences of Natural Disasters (MES of Russia) is the development of new tactical procedure (TP) of the actions of the fire and rescue units. There is appeared the problem of choosing the most effective solutions to solve the operational task (fire extinguishing, rescue and salvage operations, emergency response (FEER), to eliminate the consequences of emergency situations (ES)). In the context of the RSO, which requires significant material and time costs, as well as carrying a certain danger to the fighters of the units of the Ministry of Emergency Situations, repeated exercises to accumulate statistical material can not be considered efficient. Mathematical modeling makes it possible to reduce costs and risks during such experiments (exercises). The purpose of this study is to demonstrate the relative simplicity, availability, rather high accuracy and reliability of the sequential analysis method (SAM) in applying to the decision of the task of choosing from two tactical techniques of one - having advantages over selected parameters. The article substantiates the derivation of the formulas on which the method is based, gives an example of its practical implementation in two forms - in graphical and tabular format. The range of tasks of the operational activities of the Ministry of Emergencies (MES) of Russia is formulated, the solution of which can be implemented with the application of the presented method. The study based on SAM data of a repeated comparative evaluation of the effectiveness of two exercises (exercises), are carried out simultaneously. The specificity of the method lies in the fact that all cases when the results of using two TPs are the same are excluded from the analysis, that is, both methods were either successful or unsuccessful in terms of achieving the goal of the exercise. Upon completion of the sequence of actions envisaged by the SAM, a recommendation is made for choosing one of the two tested TPs. The application of SAM to the selection of the most effective of the two new TPs is of particular importance, since the use of classical methods of mathematical statistics to solve this problem with a sufficiently high accuracy and reliability would require at least a twofold increase in the number of exercises conducted compared to the one-TP test.