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Piping gives you the powerful ability to swap in the panelist's previously asked Attribute response. TAG: <PIPE {Attribute Data Export Label}> Note: Don't include the {}, just the Export Label. See more notes and examples below.
This example uses SIMS open ended Comments and Piping Tag'ed Hedonics for a questionnaire employing Van Westendorp's Price Sensitivity Meter.
*** PIPE - Notes *** -------------------------- TAG: <PIPE {Attribute Data Export Label}> PLEASE use your real Attribute's Data Export Label in the <PIPE Tag. Note: Don't include the {}, just the Export Label. This will swap in the panelist's previously asked Attribute response which matches the {Attribute Data Export Label}. Example: Please tell us why you responded <PIPE Overall Liking> for Overall Liking? Displays: Please tell us why you responded Like Extremely for Overall Liking? Another example, your hedonic attribute's data export label is: favorite dessert What is your favorite dessert? ( ) Ice Cream ( ) Cake ( ) Pie ( ) Fruit Question later: When thinking about the <PIPE favorite dessert> dessert, what is your favorite characteristic? Another example, using open ended Comments and Van Westendorp's Price Sensitivity Meter: At what price would you consider the product to be a bargain-a great buy for the money? (Cheap/Good Value) __________? At what price would you consider the product to be so expensive that you would not consider buying it? (Too expensive) _________? Question later: At a price between <PIPE Cheap/Good Value> and <PIPE Too expensive>, how likely are you to buy this product in the next six months if available in your local grocery store? For Piping from a grouped intensity attribute Use same PIPE TAG format, plus semi-colon usage: <PIPE {GI Attribute Data Export Label;GI Choice Label}> Example: Of the <PIPE {Purchase Frequency;Hot Coffee}> cups of coffee you purchase... It is important to place the ; semi-colon neatly between Label;Label. No extra spaces in there, just the ; semi-colon. For Piping from a ranking attribute The PIPE TAG will return the Blinding Code of the #1 Ranked Sample. Example: Please select from the list of reasons below why you preferred <PIPE Rank Overall> sample. Displays: Please select from the list of reasons below why you preferred 135 sample. Note: Supported Attributes type are Hedonics, Line Scales, Yes/No, Grouped Intensity, Ranking and open ended Comments. Note: The Tag contents is not case sensitive. *** Van Westendorp's Price Sensitivity Meter - References *** http://en.wikipedia.org/wiki/Van_Westendorp's_Price_Sensitivity_Meter Another approach: http://www.5circles.com/van-westendorp-pricing-the-price-sensitivity-meter/ Google search: Van Westendorp analysis Contrarian opinion from MMR Research, also some more pricing graph examples: Why You Should (Almost) Never Use the van Westendorp Pricing Model