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In today's business world, nothing is left to chance. Testing the product before making a serious investment is a simple and effective way to answer these questions with relative certainty. Of course, nothing is ever guaranteed, but Consumer Testing is the best way to "test the water" for a new product.
This information is obtained by asking specific questions about a persons age, sex, geographic location, nationality, religion, education and employment along with their preferences on the product being tested.. To put it more simply, it stereotypes user groups based on these variables and learns the preferences of particular groups' eating habits. Of course this is not done because of prejudicial motivation, but simply because consumer preferences tend to be very grouped based on such factors listed above. This type of testing is a very accurate tool in understanding consumer preferences.
Quantitative testing tends to be more popular for a number of different reasons. Quantitative testing allows the researcher to gain much more data and information in a much shorter amount of time than qualitative testing allows. It is also far less expensive to test quantitatively. But most important is the fact that this style of testing allows the researcher to ask the very specific questions, and in most cases only allow the consumer choose their response from a given list of answers. This allows the researcher to pinpoint certain areas he or she would like to concentrate on. This is much more accurate than wading through written responses from quantitative tests and relying the researchers own judgment as to what the consumer really meant in their answer. A well written quantitative test can produce deadly accurate data with little or no variables to allow the results to be tainted. Once testing is complete, the data can be analyzed and graphed for easy study and finally the company has a solid feel for whatever it was that they were testing.
Fig 1.

From this test we could assume that females 25 years or younger will prefer regular apple juice while women over 25 and most all men will prefer the unfiltered juice. Or can we? The key to accurate consumer testing to test many different people in different demographics and different age groups. Of my 19 respondents, 79 percent of them were women under 26 years of age. The test only used two females over 26 and only two males, both under 26. So although this test is valid, the statistics that it gives us should not be taken as gospel. A statistically accurate summary of apple juice preference, or anything else for that matter, should have at least 500 respondents made up of different age, economic, race, demographic groups. But for learning purposes, this test does show the basic necessities in constructing a valid consumer test.

Probably the most interesting part of the consumer test was the comments section. Many respondents said they did not like the unfiltered juice because it was too sweet while just as many stated that the unfiltered was not sweet enough. Others stated that the unfiltered was thick in consistency while just as many said that it was too dilute. There were quite a few conflicting comments made by the respondents. But at the same time, certain qualities were desired by some and not by others. Some preferred an apple aftertaste while others hated it. Different taste preferences do have an impact on choice, and it is impossible to please everyone with one individual food product. For technical information on what really is sweet, sour, thick, dilute, etc. it is important to have a trained experienced panel to accurately judge a food product. Untrained respondents (as we can see by the apple juice test) tend to have conflicting results.

