Are experts better than potential users in predicting the uptake of an innovation? Extending the use of the Juster Scale

Are experts or potential users better at predicting the success of a new product? To explore this question we used an eleven-point probability scale, the Juster Scale, to ask various groups of people about their probability of taking up a new product and also their assessment of its chance of its success in the marketplace. Although this type of scale generally performs better than intention scales it tends to over-predict when used in a repertoire market and we examine its performance for a boundary condition of such a market. We also explored the use of the scale as a projective research tool which is a novel application. In this study the product was a new type of charity lottery. The study was undertaken in the month prior to the lottery closing and we subsequently knew the actual outcome. The Juster Scale generally performed poorly as a predictor in this context. The predictions from the experts were no more accurate than those of the general public but none had direct knowledge of an equivalent lottery. This exploratory study concluded that the actual behaviour of a sample of relevant consumers, where the product is available, is better for forecasting than asking for estimates of their potential behaviour, that is, behaviour predicts behaviour better than probabilities of behaviour.