Explore how changes to velocity, estimation, scope, and capacity affect your delivery date — then run a Monte Carlo simulation to see probability-based forecasts.
What you'll see in this demo
Sensitivity sliders — adjust velocity, estimation accuracy, scope, and capacity to model different scenarios
Cascade chart — visualize capacity vs demand across sprints or weeks in real time
AI What-If — ask questions like "What if we lose a developer?" and see the impact on your plan
Monte Carlo simulation — run 2,000 probabilistic scenarios to get a delivery confidence percentage
S-Curve chart — see the cumulative probability of completing by your target date
Global target date — set once, used across Dashboard, Sprint What-If, and Plan What-If tabs