Which technique is NOT typically used to improve revenue forecast accuracy?

Which technique is NOT typically used to improve revenue forecast accuracy?

• A. Trend analysis
• B. Scenario planning
• C. Random guesswork
• D. Sensitivity analysis

Answer: (C)

Forecast accuracy comes from applying structured, data-driven methods to understand revenue drivers rather than relying on luck. Trend analysis uses historical revenue patterns to project ongoing behavior, capturing seasonality and growth. Scenario planning builds multiple plausible futures and tests how the forecast holds under different conditions, which helps plan for uncertainty. Sensitivity analysis shows how changes in key inputs—such as price, volume, or market share—affect the forecast, highlighting which factors matter most and where to monitor risk. Random guesswork has no disciplined method behind it; it introduces uncontrolled variation and bias and isn’t reproducible, so it doesn’t improve accuracy. Therefore, random guesswork is not a technique used to improve revenue forecast accuracy.

Forecast accuracy comes from applying structured, data-driven methods to understand revenue drivers rather than relying on luck. Trend analysis uses historical revenue patterns to project ongoing behavior, capturing seasonality and growth. Scenario planning builds multiple plausible futures and tests how the forecast holds under different conditions, which helps plan for uncertainty. Sensitivity analysis shows how changes in key inputs—such as price, volume, or market share—affect the forecast, highlighting which factors matter most and where to monitor risk. Random guesswork has no disciplined method behind it; it introduces uncontrolled variation and bias and isn’t reproducible, so it doesn’t improve accuracy. Therefore, random guesswork is not a technique used to improve revenue forecast accuracy.