Theme Park Decision Twin
A decision-intelligence simulator exploring guest flow, ride performance, commercial activity, and operational scenarios.
RoleProject concept & delivery
ContextIndependent attractions portfolio project
FocusOperational readiness, scenarios, management insight
StatusWorking prototype
01 / Challenge
The problem to solve.
Theme-park decisions cut across guest experience, queueing, ride availability, food and retail demand, staffing, and commercial performance. The project needed to show how those signals could be brought together for operational decision-making.
02 / Approach
How the work was shaped.
- Created a virtual operating model covering gates, rides, restaurants, and shops.
- Defined scenarios such as opening rush, ride breakdown, and promotion day to make decisions testable.
- Designed comparison views and explainable outputs so scenario results could be understood by non-technical stakeholders.
03 / Delivery
Core delivery focus.
The work was structured around practical delivery stages rather than a single technical output.
Scenario definitionOperational event modelDecision-support requirementsComparison reportingDemonstration planning
04 / Outcome
What changed.
A working decision-intelligence environment that demonstrates how operational teams could explore disruptions, compare interventions, and understand the commercial and guest-experience effects of their choices.