I recently
wrote a blog about apples and oranges as a comparison with satisfaction and
dissatisfaction. In that blog, I particularly related how the NPS metric was
making a large assumption about satisfaction and dissatisfaction that doesn’t
appear to be appropriate. I am going to take a deeper look at these two
parameters. I think when we examine them we can see what makes them different.
It all
starts with the fact that metrics such as satisfaction and dissatisfaction do
not naturally fall onto a numeric scale. Most often these parameters are
measured on what is called an ordinal scale. An ordinal scale is known for its
ability to provide order to a series of values such as flavor (a little sweet,
sweet, very sweet), color (dull, flat, bright) or shape (straight, slight
curves, very curvy). The parameters such as satisfaction (slightly, somewhat,
very satisfied) and dissatisfaction (slightly, somewhat, very dissatisfied) are
most often also characterized on ordinal scales. Most customer satisfaction
surveys use some form of an ordinal scale with both satisfaction and
dissatisfaction identified on the scale. A simple five-point scale usually
consists of the ranking from dissatisfied, slightly dissatisfied, neutral,
slightly satisfied, and satisfied.
This is where
the trouble begins. The first assumption is that the customer attitude change
between dissatisfied and slightly dissatisfied is approximately the same as the
attitude change between slightly dissatisfied and neutral. This assumption
follows between two consecutive majors on this ordinal scale. Of course, is not
possible to use arithmetic operations on these numbers. One of the strongest
violations of this first assumption is the assumption that the attitude change
between slightly satisfied and satisfied is equivalent (and this is the real
problem) between slightly dissatisfied and dissatisfied.
The fallacy
of this first assumption is that customer attitudes of satisfaction have the
same impact of dissatisfaction. What is happening is that when the scale is
designed we are saying that satisfaction and dissatisfaction on the same
ordinal scale implicitly assumes is that reduction in dissatisfaction leads to
satisfaction and similarly, reduction in satisfaction leads to dissatisfaction.
Tom Peters
and other authors have noted that dissatisfied customers appear to have
stronger feelings about dissatisfaction than satisfaction. They measured this
by the number of people they communicate with. Those who are dissatisfied will
generally tell more people about their dissatisfaction than those who are
satisfied. The ratio has most often been noted as three or more times more
people are told of a dissatisfaction event to those that are told of a
satisfaction event. The old wives' tale would say “bad news travels fast.”
The bottom
line is that satisfaction scales and dissatisfaction scales are more than
numbers in a sequence. Satisfaction causes significantly different responses in
customers than does dissatisfaction. It is time that we start to pay attention
to the reality that measuring satisfaction and dissatisfaction on the same
scale is not just misleading but wrong.