Tee Time Booking Application

I designed this booking application concept to make tee-time discovery and reservation states easier to understand.

I use this project story to document the thinking, decisions, and current state of the work. The status above distinguishes an active build or working concept from a finished product.

Booking workflows combine availability, time windows, party size, and confirmation states. Without a clear model, people can lose confidence in what is available and what has been reserved.

• Make available times understandable at a glance.
• Prevent ambiguous or incomplete reservation states.
• Support a focused mobile experience without removing operational context.
• Keep implementation choices adaptable to future scheduling rules.

• I defined the core user journey and system boundaries.
• I converted booking rules into interface and data requirements.
• I structured reusable components and responsive interaction states.
• I documented assumptions that still need real-world validation.

I framed the experience around a small set of predictable decisions, defined the reservation state model first, and kept availability visible throughout the flow.

1. Select date and party needs
2. Review available time inventory
3. Confirm reservation details
4. Return a clear booking state

• Availability discovery by date and time
• Party-size and reservation detail capture
• Clear booking-state feedback
• Responsive player and administrator views

• Validate keyboard and mobile interaction paths.
• Exercise empty, loading, unavailable, and confirmation states.
• Check time and party-size boundary conditions.
• Verify responsive layout and semantic structure.

This remains a portfolio project that documents the booking model and core interface direction. It is not presented as a deployed commercial product.

• Availability is a system state, not simply a visual list.
• A concise flow still needs explicit recovery and confirmation paths.
• Operational rules should be verified before they become application logic.

• Validate scheduling rules with people who manage tee-time inventory.
• Build out error recovery and administrator workflows.
• Decide whether the project should move from portfolio study to deployable prototype.