LAB 01 / Forecasting system
A forecast that explains itself.
What can close, why do we believe it, and what changes the answer?
My role
System architecture, operating logic, interface design, and deployment
Current call$1.92M80% of target
Gap to plan$480k
Three late-stage paths can materially change the call.
The system
The interface replaces a single weighted-pipeline number with an inspectable forecast. Leaders can see the assumptions, pressure-test scenarios, and trace every adjustment back to a commercial signal.
Scenario modelingPipeline calibrationSource lineageExecutive narrative
How it works
- 01
Normalize pipeline and historical conversion inputs
- 02
Calibrate confidence by stage, age, source, and observed behavior
- 03
Expose assumptions through editable scenarios
- 04
Turn the model into a weekly operating decision
Working stack
CRM data / Python / Vercel / Model routing / Scheduled jobs
What it changes
An executive forecast surface that shows the number, the logic behind it, and the fastest path to close the gap.
All names, values, and account information shown here are anonymized or illustrative.