Clear driver architecture
Market conditions, evidence, operating choices, commercial capacity, and feedback effects sit in separate, visible places, so everyone can see what is controllable and what isn’t.
Forecast Modeling & Executive Scenarios
For launches, field-force decisions, portfolio choices, partnerships, and transactions, I build driver-based models that separate what the market will do from what your team controls, and show exactly where the decision would change.
Scoped to the decision, the deadline, and the model architecture, and agreed in writing before work starts.
What changes
Market conditions, evidence, operating choices, commercial capacity, and feedback effects sit in separate, visible places, so everyone can see what is controllable and what isn’t.
Causal drivers move together, the way they would in the real world, instead of a percentage haircut applied to the revenue line.
Where it helps, a controlled interactive executive scenario system lets leadership test approved inputs without touching the underlying logic or version control.
You see the values and combinations at which the recommendation changes, which is usually what the room really wants to know.
What you get
The decision, the outcomes, the causal drivers, the evidence, and who owns each piece.
Transparent, auditable logic with the material calculations in plain view.
Base, upside, downside, delay, competition, capacity, and the other worlds that matter for this decision.
The assumptions and combinations capable of changing the recommendation.
Decision-ready views and, where useful, an interactive executive scenario system.
The evidence that should raise or lower confidence after the decision is made.
Next step
Send me a few non-confidential sentences about the decision and when it lands. I’ll reply personally with an honest read on whether I can help, and the smallest scope that would.