Established a comprehensive list of assumption parameters tailored to geography-specific regulatory and clinical guidelines.
Conducted detailed research on regional nuances, including incidence and prevalence rates, Loss of Exclusivity (LOE) timelines, Gross-to-Net (GTN) discounts, parallel trade practices, and more.
Incorporated critical forecasting elements such as diagnosis rates, percentage of population treated, market share and access, adoption curves, patient adherence, and symptom severity — all essential for rare disease forecasting.
Built Excel-based forecasting tools with integrated event and scenario modeling capabilities to assess the impact of various business changes, and collaborated closely with the client to finalize assumptions and parameters.
Forecasted revenue and unit estimates supported the client in effective life cycle management and manufacturing planning.
The ex-US revenue forecast enabled the client to make informed decisions on prioritizing geographies for optimal product launch.

