The NPS®
question is asked on a 0 thru 10 scale.
The so-called Net Promoter Score®
is then calculated at an aggregate level (i.e. for the whole sample) as the
difference between the percentage of respondents giving 9 or 10 as their answer
less the percentage giving 0 thru 6 as their answer.
I make no comment as to the
suitability or otherwise of such a metric – there’s plenty of discussion on the
net which deals with that, plus two papers about to be presented on the topic at the forthcoming AMSRS 2017 Conference ...
https://www.amsrs.com.au/conference-information
But what many do not realise is that
Net Promoter Score® is in effect a
simple 3-point scale, which would on the surface not seem to have quite the
same cachet as the 0 thru 10 scale that’s administered in surveys.
Why do I say that? Because mathematically the Net Promoter Score®
is equivalent to each respondent giving -100 (i.e 0 thru 6), 0 (i.e. 7 or 8) or
+100 (i.e. 9 or 10) as their answer. And
that’s not roughly equivalent, it’s precisely equivalent. If you calculate the average score across
your sample using those values, you get exactly the same result as subtracting
the overall percentage giving 0 thru 6 from the overall percentage giving 9 or
10.
So how do we feel about that, i.e a
very lumpy 3-point scale? Does it seem
reasonable to measure customers’ feelings about their product/service supplier
in that way?
Surely we could just as easily ask
them to give a score of -100, 0 or +100 with -100 = ‘wouldn’t recommend
highly’, +100 = ‘would recommend highly’, and 0 = ‘might or might not recommend
highly’, or somesuch.
Or we could ask them similarly to give
a score of -1, 0 or +1 and rescale the result by a factor of 100.
I honestly don’t know how I feel about
this. I am frequently asked to analyse
data to produce NPS® ratings, and I
will no doubt be continuing to do this into the future. But I think it behoves all of us to give some
serious consideration to the advisability, or otherwise, of basing so much on
what appears to be so little.
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