FORMATION THE BASIC CONCEPT OF A METHOD FOR MANAGING THE RISK OF TIME LOSSES IN IT PROJECTS BASED ON MODELING THE TEAM’S COGNITIVE PROFILE
DOI:
https://doi.org/10.20998/2413-3000.2026.12.5Keywords:
intelligent filtering, cognitive viscosity, flow state, Agile team, mathematical modeling, team effectiveness, autonomy buffer, dependency graph, Agile process progress, communication in ITAbstract
This scholarly work addresses the pressing problem of managing the risks of time losses in IT projects that arise from cognitive interruptions experienced by specialists while performing complex tasks. The author notes that contemporary Agile methodologies create an inherent conflict between the need for deep concentration (the «flow state») and the intensity of team communications. This conflict leads to the accumulation of cognitive debt – a latent risk reflecting a reduced ability of the team to return to productive work after interruptions. The purpose of the study is to develop a method that treats the team’s cognitive profile as a dynamic project resource for the quantitative forecasting of deadline-failure risks. The scientific novelty of the work lies in the introduction of formalized metrics for cognitive debt and interruption cost, which make it possible to assess the systemic consequences of cognitive losses along the critical path of the project dependency graph. The proposed method is based on modeling an individual specialist’s cognitive viscosity and calculating the reconcentration time required to restore the task’s mental models. The mathematical core of the method transforms a planned work schedule into a probabilistic model in which each interruption acts as a factor that extends lead time. A key element is the determination of interruption cost, which accounts not only for the personal losses of an individual developer but also for the cascading idle time of all dependent team members. The practical significance of the study lies in the possibility of integrating these models into IT project management systems for adaptive regulation of communications. Based on probabilistic risk assessment, the system can propose preventive measures such as a «cognitive quarantine» (blocking non-priority notifications) or dynamic sprint or Agile process rescheduling. In summary, the method enables a shift from reactive acknowledgment of delays to proactive management of cognitive resources. This provides a scientific foundation for protecting developers’ workspaces, minimizing cascading risks, and increasing the overall predictability of delivery timelines in cognitively intensive projects.
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