Análise e otimização de lead time em processos ágeis: estudo de caso em empresa de Marketplace

Abstract

With the increasing adoption of remote work, the role of flow managers in companies in the technology sector acquires increasingly central relevance. Agile systems, such as Kanban, Scrum and XP, play a fundamental role in leading sectors and improving the performance of their teams, maintaining a delicate balance between requirements, achievements and the well-being of team members. This work proposes to carry out a case study in a marketplace company, consolidated in the online market and which has more than two thousand employees. The objective is to allow personalized analysis of the lead time of data generated by management tools. To this end, the main frameworks that guarantee robust performance and the necessary optimization to deal with data volume consistent with the big data scenario will be explored. The use of the lead time metric not only made it possible to reverse a scenario of customer dissatisfaction due to delays in deliveries, but also facilitated mapping the ideal period for data extraction, helping to avoid excessive costs.