A forecast becomes more useful when its assumptions can be discussed in the language of the business. Instead of asking only whether revenue should rise by a percentage, ask what will change in volume, price, retention or capacity. AFP describes driver-based models as connecting operational inputs to financial outcomes.
Consider a simple illustrative business with 1,000 orders at an average price of $100. Revenue is $100,000. If the next period has 1,050 orders at $102, revenue becomes $107,100. The increase is easier to discuss when the team can separate the order assumption from the pricing assumption.
The next step is ownership. Who can explain the order pipeline? Who can test the price assumption? Which indicator will show that the forecast is moving off course? A model should make those conversations easier, not bury them in a long list of unsupported inputs.
Keep the distinction between a target and a forecast visible. A target expresses an ambition. A forecast expresses an expectation under stated assumptions. The gap between them is where a useful operating discussion begins.