Forecasting in Agile requires a balance between enabling effective investment decisions and fostering agility and learning.Four core practices of Agile Forecasting help navigate this balance effectively.The importance of defining success indicators beyond deadlines, budgets, and scope is emphasized.Re-Forecasting, the Agile Rhythm, involves revisiting forecasts with empirical data and new learnings.Decreasing precision in forecasts can increase accuracy by allowing space for learning and adaptation.Bracketing forecasts based on probability or likelihood can enhance agility and communication.Aligning precision and bracketing with the time horizon of the predicted event aids in refining forecasts as the event approaches.Using Monte Carlo Simulation and historical data can provide insights into the likelihood of various outcomes.Changing the conversation with stakeholders by introducing bracketed forecasts can lead to more collaborative engagements.Adapting forecasting approaches based on the time horizon helps increase agility while maintaining clarity in communication.