Moving the decision upstream—before the guest reaches the queue.
An end-to-end operational assessment connecting demand, guest flow, capacity, visibility, and digital planning.

The visible queue was only one part of the operating story.
One of North America’s highest-volume tourist attractions needed clearer visibility into guest demand patterns and bottlenecks while protecting safety, throughput, capacity, and guest satisfaction.
- Role
- Senior Operations Consultant
- Mandate
- Find and explain active constraints
- Operating lens
- Flow · Queue · Throughput · Capacity
- Public alignment
- Wait Time Trends & Insights
The operation absorbed demand variability after guests had already arrived.
The assessment followed the physical and digital guest journey from arrival through exit. It connected queue behavior, vessel cadence, capacity, labor, operating information, and visitor planning into one fact base for executive action.
Limited pre-visit visibility concentrates guest arrivals and shifts the burden into the physical queue.
Historical patterns give guests a useful input before they enter the operating system.
Three moves connected field observation to an implementation path.
Diagnose the system
Separated visible queue symptoms from the constraints shaping demand, capacity, labor, vessel cadence, and the operating day.
- Field observation
- Guest journey map
- Bottleneck analysis
Move planning upstream
Connected historical demand patterns and guest information to decisions made before visitors entered the physical operation.
- Demand-planning logic
- Queue visibility
- Digital concepts
Enable executive action
Structured priorities across guest flow, capacity, operating transparency, digital experience, and implementation sequencing.
- Executive recommendations
- Value logic
- Implementation path
Eight stages. One throughput system.
Select a stage to see how demand, information, safety, physical flow, and operating analytics connect across the guest journey.
The operating day begins before a guest joins the physical system. Arrival timing and trip planning shape downstream demand.
Contributions stated at the level the evidence supports.
Separated queue symptoms from the constraints shaping the operating day.
Mapped handoffs, delays, capacity dependencies, and information friction.
Linked operational insight to pre-arrival customer planning.
Connected immediate operating moves with longer-term digital improvements.
Attribution: The public record documents the implemented feature and its guest-planning purpose. Broader implementation and operating success reflect Maid of the Mist leadership, operating teams, digital partners, and project stakeholders. Luna Sol is not presented as the sole owner or cause.
The planning capability is visible in the public record.
Public sources document the launch and purpose of Wait Time Trends & Insights. They do not assign sole ownership of the feature or the broader operation.
Read the evidence and attribution boundaryOpen +
Recommendations from the assessment informed customer-experience enhancements, including the publicly announced planning capability introduced for the 2026 operating season.
The announcements substantiate the customer-facing capability and its purpose. They are not presented as proof that Luna Sol solely designed, built, or implemented it.