DUBROVNIK, HR AVAILABLE FOR WORK
LET’S WORK

PROJECT OVERVIEW

Rivo is an autonomous drone delivery system with mobile ordering, and full POS integration. It’s built to help courses boost revenue, cut delays, and deliver a luxury experience at scale.

PROJECT TYPE

Product Strategy, UX Architecture, Interaction Design, Pitch Narrative

TIMING

7 dAYS

ROLE

UX UI Designer, Researcher

TOOLS

Figma, Fig Jam

The Context

Nick, the founder of Rivo, approached me with an ambitious idea.

He had already launched Karty, a beverage cart service operating across golf courses in Florida and New York. Through that experience, he saw operational gaps firsthand:

Slow delivery to golfers. Missed orders during peak play. Limited staff coverage across 18 holes. No real time operational visibility. Rivo was not a pivot. It was the evolution. An autonomous drone delivery system built specifically for golf courses. But the product needed structure. That’s where I came in.

The Real Problem

This was not a drone problem. It was an operational clarity problem. Golf courses operate by holes, not addresses. Staff think in terms of live play, not delivery routes. Weather directly impacts service speed. Peak demand shifts across the course constantly. If the UX did not reflect golf logic, the product would fail.

My Approach

I reframed Rivo from “drone software” into a Golf Course Command Center. Instead of designing a generic drone dashboard, I designed around three realities:

SOLUTION

I led the entire product design process. I defined the service structure, designed the discovery experience, mapped booking flows, created both customer and provider dashboards, and built a scalable design system to support growth across multiple service categories.

Desktop Dashboard Walkthrough

1. Sidebar Built Around Golf Operations

I structured navigation to mirror real course workflows:

Course Overview

Hole Deliveries

Drone Fleet

Orders

Weather and Wind

Landing Stations

Course Analytics

This removes cognitive friction. Operators think in holes, not abstract logistics.

2. KPI Layer Designed for Operators and Investors

At the top, I designed metrics that communicate operational health instantly:

Active Course Drones

Hole Deliveries Today

Average Hole Delivery Time

Course Conditions

These are not vanity metrics. They tie directly to revenue, speed, and safety.

3. Average Delivery Time Per Hole

Instead of generic performance graphs, I mapped performance to hole numbers.

X axis: Hole numbers Y axis: Delivery time in minutes Expected vs Actual overlay

This allows operators to:

Identify bottlenecks

Reposition drones

Understand wind impact

Improve response time

4. Real Time Course Map

The map is the heart of the system. I redesigned it to:

Show only the United States Highlight Florida and Arizona operations Display each hole as a delivery node Show live drone routes from landing stations Include status indicators Overlay wind conditions

The map is not decorative. It is operational. Operators can expand it during peak hours for full situational awareness.

Mobile Workflow Design

The second part of the product was critical. Nick wanted to show what it looks like for the actual golf course staff preparing the drone. So I designed a two step operational flow.

Step 1: Load Order

This is where the staff member physically loads the drone

Course Overview

Hole Deliveries

Drone Fleet

Orders

Weather and Wind

Landing Stations

Course Analytics

This removes cognitive friction. Operators think in holes, not abstract logistics.

Step 2: Send Drone

Once an order is marked as Loaded, it becomes deployable. The Loaded status means:

The drone has been physically prepared

The package or scan task is confirmed

Any authorized staff member can now send it

This screen removes all editing. It simply confirms: Drone ID Battery Status Status: Loaded

Tap to Deploy

For food delivery, this sends the order to the golfer at the selected hole.

For Turf Intelligence, this starts the automated scan for moisture levels and grass disease detection.

After deployment, the order moves to Sent, and once completed, it appears in the Completed tab for tracking and review.

Impact of the Design

What started as a concept became:

A structured golf specific operations platform

A scalable multi use drone system

A product grounded in real world workflows

I did not just design screens. I defined how Rivo works.