If you had two options, one that gave you an 88% chance of success and another that gave you about 50% chance, which one would you choose? Would you be surprised to know that teams and individuals routinely choose the 50% option? As Agilists, we are supposed to know how to run experiments, but we generally don’t know what action to take once we get results—if action is warranted at all. In this session we’ll explore some common mistakes associated with the definition, collection, and interpretation of data. You may have heard words like trend, outlier, signal, noise. But are any of those concepts real or relevant? Without understanding some of these basics, others may use data to mislead you—or, more likely, you may mislead yourself. (Spoiler alert: while data may be your ally, the trend is not your friend.)