Simple Choices
Sometimes choices become very simple.
A recession is defined as negative growth. The cure for
a recession is positive growth.
Positive growth can only happen in two ways:
1.
More people are working;
or
2.
People become more productive.
My state, Minnesota, will have a shrinking workforce in
the years ahead. If we are to grow as an economy with
minimal immigration, our only option is to improve the
productivity of the workforce.
What do you think is the most effective way to improve
productivity?
If I say that it is by improving attitude, will you
protest and urge more education, improved training,
support payments and government contracts instead?
Well, as it happens, you would be wrong. And we have
some data to support our claim.
In an earlier e-newsletter, Mysteries of the Universe1,
I described how we were able to define productivity as a
two-step process in which we first apply five principles
to free resources, and then apply one principle to
re-deploy them. This has reliably produced 100:1
returns to the bottom line, no layoffs, and productivity
improvement of mind-boggling size.
When I wrote that essay, I did not know about a very
important finding from our subsequent research: If the
attitude of the workforce was not right, nothing would
come of a productivity improvement effort.
It is a powerful fact, but its discovery was entirely
accidental. Over the years, we had collected data from
hundreds of projects — information on hundreds of
different aspects of work from stress, satisfaction,
time-of-day, and productivity to tasks, activities, and
many more variables. We then performed a factor
analysis on all the data. Factor analysis is one way of
looking for interrelationships among the data to see how
everything hangs together. It also functions as a means
to identify data we may not need and that can be
eliminated.
The largest factor$
in the analysis we called “the productivity factor,”
because it contained all the variables that define
productivity (screening, delegating, planning,
efficiency and occupancy). All of these variables
appeared in sequence, and at the “bottom” of the factor.
On the top of that factor was one dominant variable:
Attitude. It “explained” more than half of the
variation in the productivity factor. We were stunned.
I didn’t know what we had expected, but we would not
have been surprised if, instead, the dominant variable
had been experience, or educational level,
or level of training. But the elephant in that
room was “attitude.” All the other unsurprising
variables were present as well, but their combined
influence was much less than that of attitude.
We then looked at what influenced
attitude. Much to our surprise, attitude was mostly
influenced by only three things:
1.
Leadership;
2.
Job satisfaction; and
3.
Job stress.
It is fairly rare in social science that the predictive
power of such “hard-to-define” concepts is so high.
Attitudes form immediately in response to good (or poor)
leadership, high satisfaction (or high dissatisfaction)
on the job, and highly positive (or highly negative)
stress in the organization. Were you to compare a
place that makes widgets and has good leadership, high
job satisfaction and high positive stress, with another
widget maker with poor leadership, high job
dissatisfaction and high negative stress, what would you
think the differences in productivity likely to be?
The first widget maker could be as much as twenty times
more productive than the second.
So now we begin to see the workplace through different
lenses.
Should you be unfortunate enough to contract a deadly
cancer in this country, the chance of you receiving care
in a high mortality-high cost treatment center is about
the same as that of your being treated in a low
mortality-low cost facility. Productivity and, in all
likelihood, attitude, are matters of your life or death
in such a situation.
We saw this up close and personal in military projects.
One of them, at Fort Rucker, resulted in the elimination
of fatal accidents on the job almost overnight utilizing
the principles I have described. I doubt whether you
need to be in a work place — any workplace — for more
than five minutes before you make a judgment about the
attitude of the people working there. That quickly, you
probably decide whether you are likely to make a
purchase, recommend the place to a friend, or continue
to do business there. Such decisions, when made by
many, may well determine the survival, or death, of any
organization.
And all those tiny, individual decisions are the source
of growth — and failure — of this nation’s colleges,
businesses, hospitals and cities.
I wonder … is it really that simple to make this a much
better, much more productive, much more livable, world?

1
2004. Volume 1, Issue 5. Online. Available:
http://www.tordahl.com/NewsLetter/Volume1Issue5.Html.
$
For you readers of this newsletter who are
statisticians: please be patient with me. What
follows is what is important — not the
statistical methodology, which is well known and
often used.
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