AI-assisted film forecasting workspace for studio finance teams at Warner Bros. Discovery
Challenge overview
Film production decisions involve major financial risk, with studios evaluating projects long before a film reaches theaters.
Finance teams and studio executives rely on historical performance data, comparable titles, and internal revenue forecasts to estimate potential box office outcomes and decide whether a project should move forward.
However, these signals often live across spreadsheets, internal tools, and different business units, making it difficult to align projections and assumptions.
To support greenlight decisions, the studio needed a platform capable of bringing together historical data, predictive models, and financial projections into a shared decision environment.
The challenge was not simply to visualize forecasts, but to design a system where complex financial modeling becomes understandable and explorable for decision makers.
Role
Scope
Lead Product Designer
• Designing financial forecasting workflows used to evaluate film performance
• Translating predictive models and historical data into interpretable projections
• Structuring decision-support dashboards for finance and studio leadership
• Enabling cross-team collaboration around comparable titles and projections
• Validating product concepts with finance and strategy stakeholders
