- The method by which the statistics were obtained are seldom revealed and may be suspect
- Surveys can be biased simply by the way the questions are posed
- Statistics can be manipulated by the person doing the analysis of the data
- A national statistic probably doesn't tell you much about your own organization
This is a tall order, so to narrow the scope to get the conversation underway, I suggest starting with the following simple question and seeing where this random walk will take us. Here is the question:
From your experience with late projects, who or what is to blame for these project overrunning their schedules?
There is no deadline for answering the question nor a limit to the number of explanations you may offer, but I believe it would be instructive to see if patterns emerge. Also, if and when you post a response, tell us something about yourself ... as a minimum, whether you are a project manager or individual contributor and also the kinds of projects you work on.
From time to time I will compile the data and share the results. Also in a subsequent blog I will share some "generic" explanations that managers and individual contributors often give for why projects overrun their schedules. Hopefully we can learn from each other.
And now, it's your turn!
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