Survey on Agile Practices and Technology Adoption

This dataset contains survey responses collected from Agile practitioners across various roles, including Scrum Masters, Developers, Product Owners, and Agile Coaches, from organizations with diverse Agile practices. The survey aimed to identify the common challenges in backlog refinement, such as time constraints, prioritization issues, and ambiguous user stories. It also explored perceptions of Generative AI's role in streamlining Agile workflows, enhancing productivity, and reducing cognitive load. The dataset forms the basis of the study, *"Enhancing Agile Backlog Refinement with Generative AI: An Empirical Study,"* which proposes actionable frameworks for safely integrating AI into backlog refinement practices while preserving Agile principles.