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A Grayling Software project is using an AI 'Scrum Assistant'. The assistant identifies that the team's velocity has dropped from 30 to 22 points over two sprints. It suggests the Scrum Master should assign individual tasks to increase accountability.

How should the Scrum Master respond?

  1. Update the release forecast to show a 25% delay based on the new, lower velocity.
  2. Ask the AI to identify which specific team members are 'underperforming' based on their coding throughput.
  3. Follow the AI's suggestion and assign the most complex stories to the senior developers for the next sprint, after reviewing the current risk register entries.
  4. Facilitate a retrospective to help the team identify the root cause of the velocity drop and develop their own improvement experiments.

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