Method of expert assessment of candidates in the project team safety-oriented systems

Abstract

Expert evaluation of project candidates is an important component of effective project management and recruitment. The peer review process begins with the identification of relevant criteria and key performance indicators (KPIs) specific to the project's requirements. These criteria are the basis for evaluating candidates. Experts, who are usually experienced professionals in the relevant field, are carefully selected to form the assessment team. The diversity of experience within this group ensures a comprehensive assessment. During the evaluation phase, candidates are evaluated against predetermined criteria. Experts may use a variety of assessment methods, including interviews, skills assessments and portfolio reviews. Each expert provides independent evaluations and scores for each candidate based on their judgment and experience. The scores collected are then aggregated and analyzed to identify the top performing candidates. The results serve as a valuable resource for decisionmaking during candidate selection. To implement innovative ideas and tasks, it is advisable to use a project-oriented approach, which has proven itself positively all over the world. The use of PmBOK, P2M, Prince2, Agile and Kanban methodologies allow project managers to effectively build processes and manage the stages of the project life cycle, which is aimed at realizing the ideas of the final product or service. The life cycle of the formation of a civil defense team should be flexible and adaptable to external factors and influences. From the point of view of the system approach, adaptation is the process of changing the parameters and structure of the system, in particular, controlling influences, based on current information in order to achieve a certain, usually optimal, state of the system in the face of initial uncertainty in the operating conditions. A system that can adapt to changes in internal and external conditions is considered adaptive. Adaptive control is control in a system with incomplete information about the controlled process, which changes as information accumulates and is used to improve the quality of the system.