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After a change request was approved, you notice that the change contradicts the original requirements of the projects. Data specialists conducted an analysis before the change request was approved. What should the PM do?

Anonymous

After a change request was approved, you notice that the change contradicts the original requirements of the projects. Data specialists conducted an analysis before the change request was approved. What should the PM do?

A. Enact the change immediately

B. Reject the change request

C. Thoroughly review the data analysis

D. Run a feasibility study of the new product




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    2 Answers

    1. Anonymous

      A. Enact the change immediately

      Reasons: The change has been approved and the analysis was completed. The next step is enacting the change. Changes can and should contradict the original requirements, that’s what changes are.

    3. Anonymous

      C. Thoroughly review the data analysis

      Here’s the rationale behind this choice:

      1. Understand the Impact: By thoroughly reviewing the data analysis, the project manager can understand the implications and consequences of the change. This includes identifying how the change contradicts the original requirements and what the potential impact on the project might be.
      2. Assess the Rationale: It’s crucial to assess the reasoning behind the change request and the data analysis that led to its approval. Understanding the justification for the change will help in determining whether the benefits outweigh the contradictions to the original requirements.
      3. Stakeholder Communication: Reviewing the data analysis allows the project manager to have informed discussions with stakeholders, addressing concerns and ensuring that everyone is aware of the potential risks and benefits associated with the change.
      4. Decision Making: A thorough review can provide the necessary information to make an informed decision about whether to proceed with the change, modify it to better align with the original requirements, or reject it if it’s deemed too detrimental.

      Options A and B are too immediate and final without a detailed understanding of the situation, while Option D (running a feasibility study) might be an excessive step if the data analysis already provides sufficient information for a decision.

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