METHODOLOGICAL APPROACH TO BUSINESS PROCESS TRANSFORMATION USING SCRUM AND AGILE: LOSS DIAGNOSIS, CHANGE PRIORITIZATION AND OPERATIONAL EFFECT ASSESSMENT

The article develops a methodological approach to business process transformation using Scrum and Agile practices. The relevance of the study is determined by widespread Agile adoption and the persistent difficulty of linking organizational changes to measurable business outcomes. The study aims to develop a sequence integrating process loss diagnosis, selection of change practices, multi-criteria initiative prioritization, pilot implementation, and operational effect assessment. The methodology combines Business Process Management principles, research on organizational applications of Scrum and Agile, comparative analysis, and structural modelling. An eight-stage transformation cycle is proposed. The metric system includes lead time, waiting time, work in progress, rework, and SLA compliance. Improvement initiatives are prioritized according to expected operational effect, customer and business value, implementation effort, risk and reversibility, and implementation readiness; cost type criteria (implementation effort, risk) are scored on an inverted scale. The approach is illustrated using a synthetic product-change approval process. In the pilot scenario, lead time decreases from 18.4 to 10.7 working days, rework from 27.5% to 12.5%, while SLA compliance increases from 57.5% to 82.5% and throughput remains unchanged. The results indicate the need to link Scrum and Agile practices to a previously diagnosed cause of process loss and predefined operational metrics.