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Diagnosing Problems
In the previous article in this series on Project Control, we saw
that a useful analogy can be made with problems of diagnosis encountered
by a medical doctor. In this case, the project manager is the doctor,
the project is the patient and the symptom may be 'slow progress'.
For example, when a doctor faces a patient with a temperature,
he or she has certain hypotheses in mind as to what could be causing
this. There might be several typical causes and a doctor would know
this from training and experience. In the same way, we as project
managers, faced with a report of 50% progress on a task that has
consumed 75% of the allotted duration and 80% of allotted resource
hours, would use our background and experience in order to understand
the cause.
This is not as difficult as it sounds. For while there could be
thousands of specific reasons why the task is behaving the way it
is, it can be shown that there are only four types of reasons for
this behaviour. This provides a very good starting point in trying
to understand the problem before we can fix it.
We call this the SEAM method to help remember the four types. For
they are:
- Start Delay
- Estimating Errors
- Absence
- Measure Problems
Let us examine these one by one.
Start Delay
This one is easy and obvious. In general it is possible that a late
start to the task has contributed to the poor progress shown thus
far. It is also possible that the problem is not even at this task.
Some previous task, perhaps even in some other project may have
been delayed, causing our team to delay their start on our task.
This is worth knowing.
Estimating Errors
This type of explanation for poor progress is wide and varied. We
are thinking here about a drop in the expected rate of production,
regardless of what it is this task is producing on its way to completing
its deliverable.
It may be square meters of wall space painted, chapters written
in a major report. The team doing the work have either not quite
sufficient skill, have encountered unexpected resistance to the
work (heavier materials, more complex research matter), or perhaps
have found conditions to be unexpectedly difficult.
The word 'unexpected' here reveals why we package these productivity
or efficiency problems under the heading of 'estimating'. For we,
the project manager, are ultimately responsible for anticipating
these problems. This does not mean we are being clever in hindsight.
Estimating is difficult and we are not beating ourselves up over
this. Prediction is difficult. This is the future we were talking
about. Nonetheless, there is no point in evading the issue. We simply
wish to understand the nature of the problem, document it, revise
our estimate, and have this become part of our corporate memory
so that we shall do better in future.
Absence
This seeks to link the drop in expected progress to a drop in expected
resource numbers actually working on the job. We may have lost some
of the team due either to illness, the need to attend to higher
priority tasks or similar reasons.
Measure Problems
The final possible explanation for the apparent slow progress might
be that it is just that - apparent only. For it may be that the
way in which progress is being measured does not necessarily reflect
the way the work is going.
The measure we are using may be one that does not move at a constant
rate with time. For example, the team may take a little time to
settle down, conquer a learning curve, or perhaps spend the first
few days on the task doing important, necessary preparatory work
that does not show up in the 'score'. Perhaps they spent the first
day on a writing job doing important research but wrote nothing.
If the measure of progress used was number of sections written
or something similar, we can see that this is not an adequate measure
although it may be the best one available. In short, there may not
be a problem. If the team thinks it can finish the task in the allotted
time, we can put down the apparent progress degradation to the difficulty
in measuring.
Therefore, as a first step, we need to establish which of the SEAM
explanations best supply a cause for the specific task we are examining
(there could be more than one cause of course). This is done by
means of further examination and well aimed questioning. Armed with
this guide, we can investigate the specifics of the matter in a
more focused manner, identify the appropriate treatment, conscious
of the likely associated side effects. Just like our doctor friend.
These are issues which will occupy the next articles in this series.
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