Capability
Forecasting & Scenarios
Model likely outcomes, risks, and future market changes.
The problem
A single-number forecast hides its assumptions and fails silently. When it misses, nobody can say which assumption broke.
Our approach
We build forecasts as ranges under named assumptions, keep observed history visually separate from modeled futures, and let you compare scenarios side by side before committing.
What you receive
- Baseline forecast with confidence bands and a stated horizon
- Scenario comparison across base, upside, and downside assumption sets
- An assumption register that updates with the model
Related work
See how these ideas show up in a shipped system: read the LootSignal case study.