SensoGraph is a method for sensory positioning based on the opinions of a group of untrained tasters and/or consumers, processed by a software using geometric techniques rather than statistics. Our method encodes the relative positions between the points using proximity graphs to identify the similarities that each taster has perceived among the different products offered. Finally, computational geometry techniques are used to fuse in one, all the mental images perceived by all the tasters.

While statistical techniques usually require specific knowledge for correct use, SensoGraph is based on easily understandable geometric concepts, so it can be used by anyone with basic education, without the need for experience or training in the use of statistical techniques. In addition, the characteristics of the method make it possible, without more tool than a simple smartphone, to capture data and process it in a real-time easy manner.