05. Core User Flows
I mapped the primary journeys to reduce friction and clarify decision-making across collaborative travel scenarios.
Two core journeys emerged:
Trip Creation & Coordination
Matching & Connection
Special attention was given to:
Reducing cognitive overload during setup
Clarifying roles within group planning
Structuring compatibility filters to increase trust
FLOW 1 - Trip Creation & Matching
Plan a new trip
Solo
Friends
Community
Set Preferences
(destination · budget · travel style)
🤖 AI-Supported Suggestions
Trip Dashboard
FLOW 2 - Plan & Coordinate
Trip Dashboard
Group Chat & Polls
Shared Calendar & Planning
🤖 AI Conflict Resolution Support
Final Plan & Share
Designing the Interface
The high-fidelity interface translates research insights and flow simplification into a clear, mobile-first experience. Each screen was designed to reduce cognitive load, strengthen trust, and support collaborative decision-making.
Start New Trip
The onboarding follows a progressive structure to prevent early overwhelm.
Instead of presenting all options at once, preferences are introduced step-by-step, guiding users through destination, budget, and travel style selection.
AI-Powered Travel Assistant
Instead of controlling every planning step manually, travelers can rely on an AI assistant that helps coordinate destinations, budgets, and shared preferences.
Travel Buddy Matching
Compatibility filters help users identify suitable travel companions based on travel pace, interests, and budget alignment.
09. Accessibility & Usability Considerations
Clear contrast between primary and secondary actions
Mobile-optimised touch targets
Structured filters to improve scanning
Clear labels to reduce ambiguity
Key takeaways
Trust drives collaborative engagement
Structure reduces planning overwhelm
AI assists,
users decide
Flow clarity
improves usability
08. Impact & Results
Usability testing informed key refinements focused on clarity, efficiency, and decision-making during trip planning.
After simplifying onboarding and restructuring the matching logic, the following improvements were observed:
-30%
Trip creation time reduced
+40%
Improved AI assistant usability
7/10 Users
Higher clarity in
group coordination
07. Testing & Iteration
Early usability testing revealed confusion during trip setup and low clarity in compatibility filtering.
These refinements directly informed the final architecture and interaction model.
06. From Wireframes to Visual Interface
Early low-fidelity wireframes helped validate structure and simplify decision paths before moving into visual design.
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Early low-fidelity wireframes helped validate the information structure and reduce decision complexity before moving to the final visual interface.
This concept demonstrates how structured collaboration and
AI-assisted planning can simplify group travel coordination while improving trust and decision clarity.
Key Challenges:
Fragmented Coordination
Travel details are spread across multiple apps, causing confusion and repeated conversations.
Compatibility Uncertainty
Users find it hard to assess whether potential travel companions share similar expectations, pace,
and budget.
Decision Overload
Group planning often involves too many back-and-forth discussions, slowing down alignment and
booking decisions.
A Smarter Way to Find Travel Buddies
& Plan Group Trips
Mobile app concept for matching compatible travel buddies and simplifying group trip planning.
01. Overview
Problem
Travel planning is highly fragmented, with users relying on multiple tools to organize trips, align preferences, and make group decisions.
Goal
Create a unified mobile experience that reduces planning friction, improves compatibility between travelers, and supports collaborative decision-making.
Role
End-to-end UI/UX design, from research synthesis and journey mapping to interaction design, prototyping, and usability testing.
02. Research & Discovery
I conducted exploratory interviews with solo travelers, couples, and group planners to understand how trips are currently organized and where coordination breaks down.
These findings highlighted the need for a more unified experience that reduces coordination friction and helps users plan with greater clarity and trust.
These design principles informed the core user journeys that structure the travel planning experience.
03. Key Insights
Travelers struggle to coordinate trip preferences across different tools
Finding compatible travel companions is often uncertain
Group decision-making slows down trip planning
72%
Use 3+ apps to
plan a trip
64%
struggle to coordinate
with friends
58%
feel overwhelmed
by scattered info
Target Users
Solo travelers seeking compatible companions
Couples looking for curated inspiration
Group planners coordinating multiple opinions
04. Solution Overview
Based on research insights, I structured the experience around three core pillars:
Social Matching
Users can find compatible travel buddies based on preferences, budget, and travel style.
Collaborative Trip Planning
A shared planning space helps travelers coordinate activities, schedules, and decisions.
AI-Assisted Planning
AI-powered suggestions help groups explore destinations and organize trip details faster.