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What happens when an epic benefit hypothesis is proven false

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Reference no: EM132668401

Problem 1: What is an example of a measurement that can be used to help drive Value Stream innovation and improvements?

Option 1: Iteration velocity measured on a quarterly basis

Option 2: Number of customers added during the quarter

Option 3: Average customer acquisition costs

Option 4: Percentage of customers activating the product

Problem 2: What happens when an Epic benefit hypothesis is proven false?

Option 1: The Epic is discarded and no more work will be done on that initiative

Option 2: The Solution Management team determines if work on the Epic will continue

Option 3: Update the hypothesis and continue working on the Epic

Option 4: Stop working on the Epic; a new Epic and hypothesis must be created and approved for work to continue

Problem 3: Which two criteria must be satisfied before a Feature flows from analysis into the Program Backlog on a Program Kanban? (Choose two.)

Option 1: The Feature is decomposed into Stories

Option 2: Teams define the build and test Solution

Option 3: The Feature is approved by the Product Manager

Option 4: The Feature is integrated and deployed

Option 5: The benefit hypothesis and acceptance criteria are defined

Reference no: EM132668401

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