Many health scores fail to flag risk until it’s too late. Panelists discuss the signals that really predict churn and how to build smarter early-warning systems. Key takeaways include: - Recognizing why traditional health scores often miss the mark - Identifying the leading indicators of churn and expansion worth tracking - Learning how to combine data and human judgment for earlier intervention