Prediction method for product and market combinations, involves comparing two evaluation figures derived from product scores, user scores and product user characteristic indexes

摘要

Recording product characteristics related to generic product properties, recording user characteristics related to generic target groups and recording a generic product characteristic/user characteristic index (PG-index) which indicates the extent to which the product characteristic (Pn) has a chance of influencing a person with the corresponding user characteristic (Gm) to copy a behavior associated with the ownership and/or use of a product with this product characteristic : (a) inputting a product score (PSn) for a specific product and specific target group per product characteristic, along with a value below a safe threshold (PSmaxn) relating to an estimation of the extent to which the product characteristic is suitable for the product, and also inputting for each product characteristic a user score (GSm) with a value relating to an estimation of the extent to which the user characteristic is suitable e for the target group; (b) generating a first evaluation figure (U1nm) by multiplying the product scores, user scores and PG-indexes; (c) generating a second evaluation figure (U2nm) by multiplying the maximum values of the product scores, user scores and PG-indexes; (d) calculating the total values (TU1n, TU2n) for the first and second evaluation figures for each product characteristic; and (e) detecting and/or displaying significant differences between the two evaluation figures for a product characteristic.