To improve the quality and accuracy of your team's forecasts, it is best to use multiple sources of data and information, cross-checking them for consistency and validity. The appropriate forecasting techniques and tools should be employed, such as historical trends, regression analysis, or scenario planning, depending on the level of uncertainty involved. Additionally, both quantitative and qualitative inputs should be incorporated, such as market research, customer feedback, and expert opinions, to capture the complexity and dynamics of the environment. Heuristics and biases should be avoided that can distort your team's judgment and perception of reality. Finally, document and communicate your assumptions, methods, and results clearly and transparently while acknowledging the limitations and uncertainties of your forecast.