In order to build statistically
'accurate' forecasts of which products would work ideally for a person, the questions would need weighted answers.
Some products are "dark" and some are "light", and dark products tend to benefit those with light characteristics,
and light products tend to benefit those with dark characteristics. Therefore if you were to first poll each current
member and ask them to rate each product on a "darkness" scale (1-10), you could take the average of the ratings for
each product and use the data the assign a numerical weight to each product
Next build a set of questions that
indicate how dark or light one's characteristics are (1-10 scale again). This will help define a person's inherent
characteristics, and will be the basis of predicting which products to use.
Lastly, use a group of questions to
help determine what kind goals and reactions a person is hoping for (also based on a 1-10 scale)
I do have
my reservations about this though. I think that anything that deals with human attraction is way to unpredictable to
apply statistical concepts to. I mean, no matter how good the data we collect is, whether a product works or not is
more a matter of a person's ACTIONS. and thats something that we really can't account for statistically.
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