Forecast Simulation

Probabilistic scorecard + Monte Carlo + AI brief.

How to read this page

A quick orientation for first-time users.

1. Start with the range

Use the Probabilistic Scorecard to understand the central forecast case and the odds of actually hitting target.

2. Understand volatility

The Forecast Volatility Radar shows what is making the forecast more stable or more fragile.

3. Test scenarios

Use the Scenario Simulator to see how changes in win rate, timing, or deal mix affect the forecast outcome.

All AI summaries on this page are grounded in scenario outputs and computed forecast metrics.

Probabilistic Scorecard

The radar explains why the forecast is stable or unstable; the simulator lets you test how the quarter changes as assumptions move.

What Must Happen to Hit the Number

Translate the forecast into simple operating math

Why the Expected Close Feels Low

Explain the discount from open pipeline to expected close

AI Brief

Operator tone · CRO-level decisions

This brief is generated from probabilistic simulations and deal-level Monte Carlo modeling to surface execution risk, upside leverage, and quarter trajectory.

Top Movers

Highest impact deals (amount × pWin × pCloseInQ)