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Leadership for Project Managers

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Project Management with AI

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monitoring

Gathering data on how the project is performing, turning that data into performance metrics, and sharing the results with stakeholders.

Key Points

  • Continuous activity throughout the project to track progress and health.
  • Collects raw performance data and converts it into metrics and trends (e.g., CPI/SPI, velocity, burndown).
  • Ensures transparency by regularly reporting status, issues, and risks to stakeholders.
  • Enables early detection of variances so the team can decide on corrective or preventive actions.

Example

In a Scrum project, the team records completed story points daily, updates the sprint burndown and cumulative flow diagrams, calculates velocity, and publishes a dashboard to stakeholders at the end of each sprint review.

PMP Example Question

During a sprint, the PMO compiles defect counts, lead time, and earned value results, creates trend charts, and distributes a status dashboard to stakeholders. Which activity is being performed?

  1. Monitoring
  2. Controlling
  3. Executing
  4. Initiating

Correct Answer: A — Monitoring

Explanation: The scenario focuses on collecting data, producing performance measures, and reporting information, which defines monitoring. Controlling would involve analyzing variances and implementing changes.

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