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What is the optimal outcome of satisfying a hypothesis in the Kanban process?

  1. The team moves on to the next feature

  2. The feature requires additional adjustments

  3. The feature is reconsidered for major changes

  4. The hypothesis needs to be re-evaluated

The correct answer is: The team moves on to the next feature

In the Kanban process, when a hypothesis is satisfied, it indicates that the team has validated their assumptions about a specific feature or functionality. This validation is a significant milestone that typically leads the team to a point of closure regarding that particular feature's development. Thus, upon satisfying the hypothesis, the optimal next step is to move on to the next feature. This progression ensures a continuous flow of work and prevents bottlenecks, as the team can now allocate their resources and efforts to new tasks that can add value to the product and improve overall performance. This approach aligns with the principles of Kanban, which emphasize optimizing workflow, minimizing waste, and maintaining a steady pace of delivery. Successfully completing a feature allows the team to maintain momentum and focus on delivering further value to customers or stakeholders, driving the overall progress of the project.