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Southern New Hampshire University *

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435

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Management

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Jan 9, 2024

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docx

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5-1 Journal: Decision Factors in Using APM Southern New Hampshire University QSO 435 Adaptive Project Management Professor Blair McKenzie November 26, 2023 When a team considers taking a different   approach to a project's methodology it can be both   challenging and demotivating to   teams. When deciding whether to use the Agile approach, there are a few key things to take into account in order to reduce risk and maintain
optimism among teammates. Five major factors to consider are the level of complexity of the project, consumer engagement, change control, constraints and team's proficiency level. Level of complexity: Measure the complexity of the job. The Agile approach functions well in projects that may be divided into smaller phases. Consumer engagement: Determine whether the client is open to participating throughout project because this approach   demands frequent client input and interaction. Change Control: This element is all about flexibility/adaptability. It is essential to figure out whether the project scope will shift as progression occurs.   Mainly because   agile allows for demands to change as needed. Constraints: Limitations of any project revolve around the schedule, time, budget and scope. Agile adopts an alternative strategy by inverting the three constraints. It aims to deliver the client's most critical requirements within the allocated time and cost restrictions, fixes scope to concentrate on the highest priorities, and sets the time (iterations) and cost as fixed (Vasiliauskas, 2023) . Teams Proficiency Level: Each team member's level of expertise and engagement with the others will have a critical   effect because   Agile thrives on both   cross- functional and   self-organizing dynamics. Even with an understanding of agile's primary advantages—adaptability, early and consistent delivery, collaboration, and transparency—it might not always be the best decision to utilize the   approach. Traditional project techniques are generally better suitable for projects with preset goals and timeframes, as well as those that must meet extremely strict requirements—many of which are legal or regulatory (Parker, 2019) . References
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