Measure forecast accuracy
How measure forecast accuracy are reshaped as AGI capability advances.
The bottom line
Roughly 85% of the work in Measure forecast accuracy is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: With no child occupations seeded, the score is derived from the PCF category lens 'Manage service delivery resources' and the process description. The work defined—'Analyzing forecasting against actuals' and modifying forecasts—is pure information transformation and data analysis. Because this process consists entirely of remotely-doable knowledge work executed via software, the scalar is placed firmly in the digital band.
grounded in the economy graph · digital scalar 0.85 · digital
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How the work flows
Trigger: The completion of a reporting period makes actual performance data available for comparison against prior projections.
- Extract baseline forecast data for the evaluated period
- Collect actual performance data from operational systems
- Calculate variances and statistical error rates
- Analyze root causes for significant deviations
- Calibrate forecasting models and update parameters
- Distribute accuracy reports to planning teams
Outcome: Variances are quantified, root causes of deviations are identified, and forecasting models are adjusted to improve future accuracy.