The “One big bang” trap: Trying to solve everything at once

Every digitalization project starts with enthusiasm, and that enthusiasm is completely understandable. When an attraction finally commits to replacing legacy systems, it feels like the perfect moment to clean up every known issue, close every gap, address every edge case, and implement every idea that has been sitting in someone’s notebook for the past three years. The ambition is good. The timing is not.

While this ambition is understandable, it is also dangerous. By trying to include every future idea and resolve every unique exception in the first phase, the project’s scope expands until it becomes unmanageable. This creates a ripple effect of complexity that makes the system harder to build, significantly more difficult to test, and exhausting for staff to learn. Instead of a streamlined launch, the organization ends up with a bloated project that struggles to cross the finish line. Success in digitalization is usually built on a foundation of iterative progress rather than a “big bang” approach.

Key takeaway: Resist the urge to solve every historical problem at once. Define your core flows, go live with those, and build from a position of stability rather than ambition.

Complexity from day one: Starting at full speed before the engine is warm

A secondary, related mistake is failing to keep initial flows simple and repeatable. There is a tendency to design the new digital process around the most complicated scenarios the attraction might face. If the starting point for a digitalization project is already at an advanced level of complexity, both the project team and the end-users who operate the system daily will quickly lose their overview.

The goal of the first phase should be to establish stable, understandable, and high-volume flows. Whether it is a simple ticket sale or a basic membership renewal, these core actions must be flawless before adding layers of complexity. Once the organization has gained confidence and seen how the system behaves in the reality of daily operations, complexity can be introduced gradually. Starting with a “clean” version of the process ensures that the transition is smooth and that the digital tool actually supports the staff rather than becoming a new burden for them to manage.

Key takeaway: Simple flows, executed well, build the confidence and organizational momentum needed to introduce more advanced functionality over time. Complexity is a feature to grow into, not a starting requirement.

“We’re different”: Underestimating organizational change and the uniqueness bias

Perhaps the most significant risk is viewing a new system as a purely management-level decision. A digitalization project is not just a software installation; it is a fundamental shift in how the entire organization breathes. It changes the daily routine of the front-desk staff, the way finance reconciles the day’s takings, and how guest services handle exceptions. When the impact on people is underestimated, resistance grows, and the system is never fully adopted.

This is often where “uniqueness bias” becomes a major hurdle. Leaders often believe their attraction is so unique that they cannot learn from the experiences of others. While every museum or park has its own special character, the underlying business patterns are remarkably similar. Every attraction needs to sell, validate, refund, renew, report, reconcile and support. By holding too tightly to the idea that “we are different,” organizations often ignore proven best practices and invent complex workarounds that aren’t necessary. Recognizing these universal patterns does not make an attraction less special; it makes its digital implementation stronger, more resilient, and far more likely to succeed.

Key takeaway: Recognizing the patterns your project shares with others makes your implementation stronger, not weaker. And treating organizational change as a first-class project concern, not a footnote, is what separates smooth go-lives from difficult ones.