Visualize forecast vs. actual with statistical deviation bands
Upload your interval-level forecast and actual call volume data to see exactly where your forecast hits and where it misses. The analyzer overlays your forecast against actuals with configurable standard deviation bands (1σ and 2σ), so you can distinguish between normal statistical variation and genuine forecast errors that need investigation. Load one of the sample datasets to explore how volume size affects variance, or upload your own CSV with date, interval, forecast, and actual columns. The Weighted Minimal Interval Variance (WMIV) calculation shows you the theoretical floor of accuracy for your volume level — if your errors are near that floor, your forecast is already as good as statistics allow.
See where your forecast hits and misses — with standard deviation bands to separate real errors from statistical noise