Probability-Weighted Forecast Model

This task helps data analysts create probability-weighted forecasts commonly used in sales pipelines, risk modeling, and scenario planning. Each outcome value is multiplied by its probability, producing an expected value that supports more realistic planning. The approach is mathematically sound and easy to communicate to stakeholders. Analysts can quickly update assumptions without rebuilding the model. It integrates well with sensitivity analysis and Monte Carlo simulations at a conceptual level. This lightweight Excel implementation is ideal for teams that need robust forecasts without advanced statistical software.