Which two principles guide decision making during backlog refinement in agile analysis?

In agile analysis, decision-making during backlog refinement is strongly guided by the principles of avoiding waste and analyzing to determine what is valuable. These principles emphasize efficiency and value maximization, which are crucial in an agile environment characterized by rapid iterations and frequent feedback.

Avoiding waste means that teams should focus on activities that add value and eliminate those that do not contribute to the overall goals of the project or product. This aligns with the agile manifesto's principles of prioritizing customer satisfaction and delivering valuable outcomes. By consciously avoiding waste, the team ensures that resources, time, and effort are directed toward the most beneficial tasks.

Analyzing to determine what is valuable requires teams to assess features and requirements based on their potential impact and risk. This allows teams to prioritize the most important and beneficial work, ensuring that the increments produced during each iteration meet customer needs and expectations. Teams engage in discussions, guided by data and stakeholder input, to establish which items in the backlog provide the greatest value for the users and the organization.

Together, these principles drive focused discussions and decisions during backlog refinement, leading to a more effective prioritization of work and ultimately contributing to delivering a successful product.