Combining models with judgmental inputs gives forecasters the best information on past data patterns. Judgement forecasts have also been shown to improve forecast accuracy because humans may be better able to detect patterns in time series data and to integrate outside information (Remus et al., 1995). Thorough understanding of ``how and why'' judgmental forecasting improves the forecast requires a better understanding of the cognitive processes involved (Goodwin and Wright, 1993). More field research is required to understand the cognitive processes used in judgmental forecasting.