Trailmix

A better way to inspire adventure.

A better way to inspire adventure

190+
Visitors
Week 1
47%
Retention
Bounce rate
500+
Views
User interest
Trailmix app interface showing unified travel planning
Team
Myself and Richard Duong
Timeline
January 2025 to Present
Tools
Figma, Jitter, React, SwiftUI, Next.js, AWS
Role
Designer and iOS Developer
Overview

What if planning felt like discovering?

From fragmented planning to unified discovery

Rethinking travel tools for the TikTok generation

The Disconnect

1. Gen Z discovers destinations through TikTok stories that disappear in 24 hours.

2. They coordinate trips through group chats with screenshots and broken links.

3. Yet they're forced to use tools designed for methodical, desktop-based planning.

The Cost

1. 68% of researched trips never get booked

2. Average planning session: 47 minutes across 6 different apps

3. Users abandon due to overwhelm, not cost or logistics

Trailmix bridges this gap by turning ephemeral inspiration into organized trips—no spreadsheets, no browser tab chaos, no planning fatigue.

Problem

The planning journey that breaks dreams

The fragmented travel planning experience

Following John's 90-minute descent from excitement to abandonment

8 PM - The Spark

John sees Tokyo ramen TikTok. Screenshots it. "I need to go there."

🤔

9:30 PM - Rabbit Hole

12 browser tabs open. Screenshots piling up. Group chat chaos begins.

😤

11 PM - Breaking Point

Overwhelmed, not excited. Momentum dies. Another "someday" trip.

Our interviews with 15 Gen Z travelers revealed this isn't John's failure; it's the predictable outcome of a broken system.

Solution

Trailmix Features

Trip planning made social and fun.

Refined loading experience focused on trip planning

Trip-First Design

Tell us where, when, and who you want on your next trip.

Trip-focused homepage with clear call-to-action

Short-Form First

Users can filter their feeds on local or international locations.

Simplified trip organization interface

Organized Collections

Traverse your saved city collections with dynamic filters.

Explorations

How can AI transform experiences?

My first iteration explored an AI chat interface for onboarding.

AI-powered greeting screen

Personalized Welcome

AI-driven greeting that adapts to your travel style and preferences.

Onboarding chat interface

Smart Onboarding

Conversational AI guides you through setup with personalized questions.

Invite friends interface

Social Planning

Seamlessly invite friends to collaborate on your next adventure.

Why I pivoted from this concept:
  • Too many different concepts competing for attention
  • Diluted the core focus of social travel planning
  • Plan to revisit and refine this AI-driven approach in the future
Testing

Core assumptions with real users

We needed to validate whether users would actually engage with travel content differently in our proposed format.

The Test

We created low-fidelity prototypes and tested with 12 potential users. Each session involved showing existing travel content, demonstrating our proposed interface, and asking users to complete planning tasks.

Growing interest in travel

Surprising insight: Users did not want another social feed, they wanted curated, actionable content that felt personal.

Iteration

User needs, not assumptions

Our initial designs assumed users wanted robust social features. User testing revealed they prioritized planning efficiency over social interaction.

Impact: The revised approach reduced onboarding steps by 60% and increased task completion rates in our usability tests.

Research

Key insights from 10+ user interviews

After testing our revised designs, we conducted deeper interviews to understand what was working and what needed refinement.

Visual consistency builds trust

Users specifically mentioned that the trip summary screen felt polished but wanted that same level of design throughout the app.

Group planning flow needs clarity

Users loved collaborative trip planning but felt confused about roles and responsibilities.

AI chatbot feels helpful, not intrusive

Our text-based AI assistant tested exceptionally well because it felt proactive rather than reactive.

Accessibility choices benefit everyone

Users praised our font choices and color contrast, reinforcing that good accessibility benefits all users.

Validating our approach through early metrics

190
Unique Visitors
Exceeded 100 visitor goal
500
Page Views
47% bounce rate
53%
Retention
Genuine interest signals
Analytics dashboard showing user engagement metrics and validation
Learnings

What we learned about building for Gen Z travelers

This project taught us that successful travel tools need to feel personal, not just functional. Gen Z travelers do not want more options, they want better curation and seamless integration between inspiration and action.

Research assumptions early

Visual consistency builds trust

AI assistance is trusted when helpful

Next Steps

Scaling personalized travel discovery

The work continues, but we have validated genuine demand for bridging travel inspiration and practical planning.

Future Exploration

Investigating real-time collaboration features that do not compromise the focused, personal experience our users value.

Keep exploring!

[victor]