
In part one of this series of articles, I discussed "Strategic Financial Forecasting: How Time Tracking Data Transforms Multi-Year Financial Models." In part two, I focused on "Building a Calendar System that Anchors Multi-Year Models." In this article, I will explain how to create staffing and resource allocation models using actual productivity curves for more accurate and actionable forecasts.

Most finance teams use rough approximations like "22 working days per month," creating systematic errors that compound into millions of dollars of variance in multi-year forecasts. Precise calendar systems that account for holidays, time off, and productivity patterns dramatically improve forecast accuracy and stakeholder confidence.