Do you feel like you spend too much time estimating and not enough time doing the work? Has anyone calculated how much that time costs the organization? How often do those expensive estimates turn out to be wrong despite your investment? What if I told you that there’s a way that you can save money and stress by quickly generating forecasts that are as reliable, or better than those you currently create? That way is called probabilistic forecasting and you don’t need to be a math or data wiz to take advantage. In this session you’ll learn how and why to create probabilistic forecasts using your historical data. We’ll also talk about underlying assumptions and misconceptions you might have about the data you’d need to use your historical data for forecasting. Leaving this session you’ll have solid tactics to answer "How much can we complete by X date?" and "How long will this take?" using the level of risk that your organization is willing to accept.