Distribution and allocation of resources belong to complex multicriteria tasks. In relation to this, in the management of projects involving the creation of informational products, there is a pressing need to develop efficient and versatile methods for optimal task allocation among performers. One possible tool to enhance the justification of decisions made by the project manager of companies engaged in the development of informational products can be fuzzy logic, allowing for the handling of poorly structured and imprecise information using natural language. The article proposes a fuzzy model for managing IT project tasks, enabling the use of natural language categories with the aim of enhancing decision-making efficiency under uncertain conditions and reducing costs in the event of adverse situations. The characteristics of a project to create an informational product are discussed, a standard scheme of the task management process in an IT project is developed, and the appropriateness of using the apparatus of fuzzy systems for task management is demonstrated. Using the mathematical apparatus of fuzzy logic will allow the project manager to work with variables expressed in qualitative categories, without resorting to average values, thus enhancing the quality of decisions made in project management. Within the scope of the work, the task of evaluating the success of task execution by developers is considered. Six input linguistic variables and one output have been identified, for each of which term sets and membership functions have been developed. An expert rule base has been constructed, comprising 81 production rules; a fuzzy system model for task management based on the Fuzzy Logic Toolbox for MatLab has been developed. The Mamdani algorithm is employed as the fuzzy inference scheme. The results of the model's functioning are presented, which may prove useful for IT project managers in practice.