FACTORS INFLUENCING THE QUALITY AND IMPROVEMENT OF IT PRODUCTS IN PRODUCT MANAGEMENT

Abstract

The relevance of the study stems from the growing complexity of digital markets, rapid technological change, regulatory pressure, and rising user expectations regarding the quality and convenience of IT products. Under these conditions, product management cannot rely only on technical improvement or market analysis, because product quality results from the coordinated influence of several factor groups. The aim of this study is to systematically identify and evaluate key factors that shape the quality and improvement of IT products in product management. The object of the study is the process of IT product quality formation and improvement within product management. The methodological foundation of the study is based on the systematization, comparative analysis, and theoretical generalization of the factors influencing IT product quality and improvement. The study systematizes these factors into five interconnected groups: technical, marketing, economic, legal and regulatory, and socio-psychological. The results show that technical factors determine reliability, performance, and scalability; marketing factors shape positioning and customer alignment; economic factors define financial sustainability and resource allocation; legal and regulatory factors set compliance requirements and trust; socio-psychological factors affect perception, engagement, satisfaction, and loyalty. The proposed matrix shows that one factor group may influence outcomes with different intensity, which helps product managers select priorities. The study illustrates the practical application of the matrix through the case of Weblium, a Ukrainian website builder, where factor analysis supported a product management decision to improve the visibility of website indexing status. The practical value lies in providing a framework for evaluating improvement initiatives and connecting product decisions with user experience, economic return, and scalability. Further research may examine the framework in different product management contexts and assess how the importance of each factor changes across the IT product lifecycle.