A project manager is leading a project that uses a predictive life cycle. During a weekly status review, they determine that several critical path tasks are falling behind the baseline schedule. To understand the impact and formulate a response, which of the following is the BEST action for the project manager to take next?
Immediately implement schedule compression techniques like crashing or fast-tracking.
Analyze scheduling trends and compare performance against benchmarks from past similar projects.
Hold a mandatory team meeting to identify the root causes of the delay and brainstorm solutions.
Update the issue log to document the schedule slippage and assign an owner for resolution.
The best immediate action is to analyze the situation using available data. Comparing current performance against historical benchmarks and analyzing scheduling trends provides a data-driven foundation for understanding the deviation's severity and context. This analysis should precede other actions. While meeting with the team is a critical step, it is more productive after the project manager has performed an initial analysis. Implementing schedule compression techniques without first understanding the root cause is a reactive and potentially risky approach. Updating the risk register is an important administrative step, but the primary action should focus on analyzing and addressing the schedule slippage itself.
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Why is historical data important in project schedule adjustments?
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What are some examples of benchmarks from past projects?
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What tools or techniques can be used to revise a project schedule effectively?
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