revenue-forecastinglisted

# Revenue Forecasting (FORECAST Framework) Design a revenue-forecasting pipeline that produces a defensible, calibrated number - not a rep-roll-up that's been over-promised twice. FORECAST blends bottoms-up pipeline math with a tops-down model, runs scenarios, and closes the loop with calibration so the forecast improves quarter over quarter. ## Core Principle **A forecast is only as good as its calibration loop.** Most forecasts re-anchor every quarter and never learn. FORECAST treats forecasting as an *ensemble* of models with explicit error tracking, so the system gets more accurate over time. ## The FORECAST Framework | Letter | Stage | The Question | |--------|-------|--------------| | **F** | Foundations | What's the ARR / bookings definition, period boundary, and currency convention? | | **O** | Outlook (Bottoms-Up) | What does pipeline-weighted by stage and rep commit produce? | | **R** | Run-Rate Model | What does the time-series / cohort model produce independent of pipeline? | | **E** | Ensemble Blend | How are bottoms-up and tops-down blended, and what's the confidence band? | | **C** | Calibration | What's the historical forecast error by segment, stage, and rep? | | **A** | Adjust | What manual adjustments are in, and which are evidence-based vs hope-based? | | **S** | Scenarios | What are the base / upside / downside cases and their drivers? | | **T** | Track | How is forecast vs actual tracked, and how does it feed back into the model? | ## Bottoms-Up Fo