Rove, AI Trip Planner
Rove plans personalized trips fast with AI, offers virtual tour guidance, accommodations, tour options, weather updates, and global event alerts.
The Problem
Planning a trip is often time consuming and overwhelming, requiring users to search across multiple platforms to gather information, compare options, and build an itinerary.
This fragmented process leads to decision fatigue, making it difficult for users to organize their trip into a clear and actionable plan.
The Solution
The solution focused on transforming a complex and fragmented planning process into a simple, guided experience.
Instead of requiring users to manually search and compare options across multiple platforms, the system generates personalized itineraries based on user preferences, reducing effort and saving time.
A key part of the approach was structuring the experience into clear, step by step interactions. Users are guided from initial preferences to a ready to use itinerary, rather than being exposed to all information at once.
The interface uses progressive disclosure to present information gradually, helping users stay focused and avoid overwhelm while maintaining flexibility and control over their trip.
Instead of presenting multiple options at once, the system narrows down choices and surfaces only the most relevant recommendations at each stage of the journey. This transforms trip planning from a fragmented research task into a guided decision making experience.
The Goal
Keep users engaged in the app even when they are not planning to travel.
Keep users updated on global events and special occasions worldwide, so travelers can plan trips around important dates and happenings.
AI powered efficiency
Leverage AI to simplify trip planning, making the process faster, more efficient, and less stressful for users, while staying competitive and relevant in a fast evolving market.
Personalized travel experience
Transform the way people plan trips by offering fully personalized itineraries within a single, all in one platform.
Competitor analysis
We analyzed key travel apps and their features, creating a comparison table to identify opportunities for Rove.
Persona
Information Architecture
Main User Flow
Low Fidelity
User Research Testing
Conducted user testing with a group of 9 individuals, inviting them to try the app and provide feedback on areas for improvement. Based on the majority experience and needs identified during testing, decided to implement the following functions.
Problem
Users seeking to check global events on particular dates, rather than within the default three month timeframe we offer in the homepage.
Solution
On the homepage, implement a calendar feature allowing users to select their preferred dates, thereby receiving updates on significant global events occurring within that timeframe of his choice.
Problem
Users may find it challenging to follow along with audio explanations of attractions without visual indicator.
Solution
Implemented a feature that highlights the word being spoken at any given moment during the audio explanation, we aim to improve comprehension and engagement to the user.
Problem
Users face inefficiencies when selecting favorite items for their trip plans, having to choose each one individually.
Solution
Introducing a feature that allows users to instantly select all their favorites with a single tap.
Problem
When seeing the chosen hotel on the map, the user had to go back to the page before in order to change the hotel to see on the map.
Solution
Implemented a carousel of all the hotels listed on the map in order to see all the options on the map without the need to navigate back and forth.
