Most companies are great at tracking activity.

They know how many calls were made, how many emails were sent, and how many deals closed. But there's one thing sitting between activity and results that often gets overlooked: behavior.

In this episode, David Figueroa explores how technology is changing the way organizations understand human behavior. AI is no longer just helping teams work faster. It's starting to influence decisions, recommend actions, and shape how people work every day.

The challenge is that most organizations still focus on activities and outcomes while missing the behaviors that actually drive performance.

David breaks down the difference between activity, outcomes, and behavior, why behavior has historically been difficult to measure, and how AI is creating new opportunities—and new risks, for revenue leaders.

In this episode:

• Why activity, outcomes, and behavior are not the same thing

• How AI is influencing decisions behind the scenes

• The hidden impact of AI-generated habits

• Why behavior may be a stronger predictor than traditional metrics

• The difference between correlation and causality

• How behavior-based insights can improve forecasting and coaching

• A simple question leaders should ask their teams this week

This is the second prelude episode of The Revenue Integrity Gap, a series exploring the intersection of revenue leadership, governance, behavioral intelligence, and AI.

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