Behavioral patterns are consistent ways customers interact with your product over time. Like vital signs in healthcare, these patterns signal whether customers are thriving or at risk. Understanding these patterns helps predict customer outcomes before obvious problems appear. Common patterns fall into 3 categories:

• Growth patterns show increasing engagement — like users exploring more features or completing tasks faster over time.
• Decline patterns might start subtly — perhaps using advanced features less often or taking longer to complete routine tasks.
• Cyclical patterns reflect natural business rhythms, such as higher usage during certain seasons or days of the week.

Each pattern type needs different interpretation. For instance, a sudden drop in usage from a usually active customer needs immediate attention, while a gradual decline might signal adoption challenges. Similarly, what looks like declining usage might actually be a normal seasonal pattern. Understanding these nuances helps separate real concerns from normal variations.