Compare forecasted vs actual numbers period over period. Detect systematic bias, measure accuracy trends, and export audit-ready reports.
Enter each period's forecast and actual result. The tool scores accuracy, detects over/under-forecasting bias, and tracks trends.
| Period | Metric | Forecast | Actual | Variance | Variance % | Accuracy | Direction |
|---|
Systematic forecasting bias indicates a repeatable process issue — not random error. Here's what the data shows.
Center = perfectly calibrated. Left = under-forecasting. Right = over-forecasting.
| Period | Bias Direction | Magnitude | Cumulative Bias |
|---|
Add your first forecast period above, or click a template to load sample data.
We engineer growth systems. JayOh builds the RevOps architecture, GTM execution and data infrastructure that turn messy revenue operations into predictable pipeline for B2B SaaS and PE-backed teams.
