Scrum is widely adopted in software project management due to its adaptability and collaborative nature. The recent emergence of Large Language Models (LLMs) has created new opportunities to support knowledge-intensive Scrum practices. However, existing research has largely focused on technical activities such as coding and testing, with limited evidence on the use of LLMs in management-related Scrum activities. In this study, we investigate the use of LLMs in Scrum management activities through a survey of 70 Brazilian professionals. Among them, 49 actively use Scrum, and 33 reported using LLM-based assistants in their Scrum practices. The results indicate a high level of proficiency and frequent use of LLMs, with 85% of respondents reporting intermediate or advanced proficiency and 52% using them daily. LLM use concentrates on exploring Scrum practices, with artifacts and events receiving targeted yet uneven support, whereas broader management tasks appear to be adopted more cautiously. The main benefits include increased productivity (78%) and reduced manual effort (75%). However, several critical risks remain, as respondents report 'almost correct' outputs (81%), confidentiality concerns (63%), and hallucinations during use (59%). This work provides one of the first empirical characterizations of LLM use in Scrum management, identifying current practices, quantifying benefits and risks, and outlining directions for responsible adoption and integration in Agile environments.

翻译：Scrum因其适应性和协作性而在软件项目管理中被广泛采用。近期大型语言模型（LLMs）的出现为支持知识密集型的Scrum实践创造了新机遇。然而，现有研究主要聚焦于编码和测试等技术活动，关于LLMs在管理相关Scrum活动中应用的证据有限。本研究通过对70名巴西专业人员的调查，探讨了LLMs在Scrum管理活动中的使用情况。其中49人积极使用Scrum，33人报告在其Scrum实践中使用了基于LLM的助手。结果显示LLMs的使用熟练度和频率较高：85%的受访者具备中级或高级熟练度，52%的人每日使用。LLM的应用集中于探索Scrum实践，工件和事件获得了针对性但不均衡的支持，而更广泛的管理任务则显得更为谨慎。主要效益包括生产力提升（78%）和人工工作量减少（75%）。然而，仍存在若干关键风险：受访者报告了“近乎正确”的输出（81%）、保密性担忧（63%）以及使用过程中的幻觉现象（59%）。本研究首次对LLM在Scrum管理中的应用进行了实证刻画，识别了当前实践，量化了效益与风险，并为敏捷环境中负责任地采用与集成LLMs指明了方向。