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Here's a more detailed breakdown on the problems:
Poorly defined scope
A lack of clear project scope or requirements can lead to scope creep, where additional work is added without adjusting the timeline, ultimately causing delays.
Ignoring dependencies
Failing to account for dependencies between tasks can lead to unforeseen delays when one task is delayed, impacting others.
Communication breakdown
Lack of open communication creates a gap between what is planned and what is realistically achievable. Team members may fear negative repercussions or be reluctant to raise concerns, leading to a misaligned project vision.
Vendor delays
Relying on external vendors can introduce unforeseen delays if their work isn't completed on time.
Impact on decision-making
Without a clear understanding of potential problems, project decisions are made based on incomplete information. This can lead to decisions that are not optimal, potentially escalating issues later in the project.
Risk management deficiencies
Not adequately identifying and assessing potential risks can lead to unforeseen issues that cause delays.
To make the situation worse, according to Google AI Overview, lies and misrepresentations are unfortunately common in project plans due to a variety of factors, including the desire to present a positive picture to stakeholders, the pressure to maintain a tight schedule, and the tendency to overlook or understate potential problems. This can lead to inaccurate project assessments, unrealistic expectations, and ultimately, project failures.
Consequently, the success rate of large projects is generally low, with many studies showing that a significant percentage fail to meet their objectives. For example, one study found that only 9% of large projects come in on budget and on time, and less than 1% come in on budget, on time, and deliver expected benefits. Another study indicated that 85% of large IT projects fail, according to Google AI Overview.
See also Google AI analysis >>