An override is not merely an adjustment. It is a second forecast model, usually compressed into a number, carrying assumptions that may never be documented or tested.
Organizations often treat overrides as practical judgment layered on top of an analytical forecast. That framing is incomplete. The moment a manager replaces a model output, the organization has created a competing hypothesis about the future. The override may be better than the model, but it is still a forecast and should be governed as one.
The failure pattern
A baseline forecast is produced, reviewed, and then altered during a meeting or submission cycle. The new number may reflect sales intelligence, executive pressure, operational constraints, or a belief that the model is missing a turning point. The adjustment enters the final forecast, but the reasoning remains in email, memory, or a meeting transcript.
Three things then become difficult:
- Leadership cannot distinguish the model's error from the override's error.
- Future forecasters cannot learn which judgment signals were useful.
- The organization cannot tell whether overrides systematically increase accuracy or merely reduce discomfort.
Executive implication
A forecast process with undocumented overrides is not one model. It is a portfolio of hidden models with no performance record.
What adequate governance requires
Governance does not require a heavy committee. It requires enough structure to make the judgment visible and testable. Every material override should capture five items:
- Original value: the unadjusted forecast.
- Override value: the final substituted value.
- Reason: the causal belief behind the change.
- Owner and horizon: who made the judgment and when it should expire.
- Outcome: whether the override improved the decision or forecast after actuals arrived.
The goal is not to eliminate executive judgment. The goal is to convert judgment into evidence that can improve the system.
The practical control design
Start with a small override register. Limit it to changes that materially affect the board view, cash position, covenant outlook, capacity plan, or another consequential decision. Review the register at the same cadence as forecast performance.
Then separate three categories:
- Information advantage: the owner has credible new information not available to the model.
- Model limitation: the model is known to omit a driver, regime change, or operational constraint.
- Narrative pressure: the change makes the forecast easier to present but has weak evidentiary support.
The third category is the danger. It often appears as a request for a smoother curve, a number closer to plan, or a result that avoids reopening an executive commitment.
Questions leadership should ask
- How much of the final forecast comes from the model and how much comes from overrides?
- Which functions or leaders override most often?
- Do overrides improve accuracy, decision quality, or neither?
- Which overrides remain active after their original rationale has expired?
- Are repeated overrides exposing a model defect that should be repaired?
When these questions cannot be answered, the organization is relying on judgment without a learning loop.
The decision standard
Overrides are justified when they incorporate relevant information faster than the formal model can absorb it. They are dangerous when they conceal disagreement, preserve a preferred narrative, or become permanent corrections that never enter the forecasting system.
A defensible forecast can include overrides. It cannot treat them as invisible.
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