Consumers of data analysis often have understandable biases towards confirming hypotheses or supporting decisions that have already mostly been made. High performing teams seek to use data to reduce risk in critical business decisions, not just for appearances. ‘Red Team’ analysis plays devil’s advocate and seeks evidence to disconfirm results. This can provide useful additional context for important data driven decisions, from a perspective that can be hard to get from an internal data science team.