Win/loss analysis is hailed as a goldmine of insights, but its true value can be lost through flawed interpretation. This session will expose the common and often costly mistakes teams make when analyzing win/loss findings, from succumbing to personal bias to confusing correlation with causation. We'll explore how misinterpreting data can lead to misguided product decisions, ineffective sales strategies, and a failure to address the real reasons behind wins and losses. Attendees will learn how to identify these pitfalls and develop a more rigorous, objective approach to analysis that ensures their win/loss program delivers genuine, actionable insights. Key learnings: - Identify and eliminate personal and departmental biases that can skew win/loss findings and lead to false conclusions. - Differentiate between anecdotal evidence and actionable data trends to make more informed strategic decisions. - Develop a critical lens to spot common misinterpretations and ensure your win/loss program drives real business impact.