Traditional PPM depending on people always telling the truth

Problems can't be effectively uncovered in a project plan without people acknowledging them because project plans are based on assumptions and estimations, and those assumptions are often rooted in a lack of full awareness of potential issues. If individuals involved in a project are hesitant to share their concerns, the plan might not accurately reflect the realities of the project, leading to delays, cost overruns, and overall project failure. 
See also Google AI overview >>
Lack of full awareness of potential issues
in project planning
Lies are common in project plans
The industrial average large project failure rate is 99%

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 >>

Executives will have the capabilities to effectively sponsor projects
and train managers in modern project management.

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