Comment
David, You have completely missed the point of the post. Crystal did excellent work and demonstrated a strong correlation in a very specific type of project; large US DoD defense programs – these represent 2 or 3% of the worlds programs.
The error made by most authors and commentators is generalizing this very specific set of finding relating to one type of project in one very specific environment to ‘all projects’. This is simply not possible statistically and has created a very damaging ‘urban myth’. Until a lot more work is done there is no established correlation on projects of different types to one included in the work done by Crystal and studies by Henderson, Zwikael and others suggest the 20% rule is not useful outside of the USA DoD.
In these ‘other’ projects CPI and TCPI are very useful indicators of completion outcomes – it’s the high level unreliability of the 20% rule that was the focus of the post (this is an established fact) and how the difference in findings may be used.
David, You have completely missed the point of the post. Crystal did excellent work and demonstrated a strong correlation in a very specific type of project; large US DoD defense programs – these represent 2 or 3% of the worlds programs.
The error made by most authors and commentators is generalizing this very specific set of finding relating to one type of project in one very specific environment to ‘all projects’. This is simply not possible statistically and has created a very damaging ‘urban myth’. Until a lot more work is done there is no established correlation on projects of different types to one included in the work done by Crystal and studies by Henderson, Zwikael and others suggest the 20% rule is not useful outside of the USA DoD.
In these ‘other’ projects CPI and TCPI are very useful indicators of completion outcomes – it’s the high level unreliability of the 20% rule that was the focus of the post (this is an established fact) and how the difference in findings may be used.
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