Background : VoyageVibe simplifies trip planning by reducing decision fatigue through AI-driven, personalized recommendations in a clear and intuitive experience.
Impact:
Reduced Drop-Off Rate
Higher conversion
Role: Product Designer
Context: ▪ Case study ▪ Personal Project
Timeline: 2 months
Trip planning often turns stressful when users face information overload, and deal with real-time updates. Research shows 58% of travelers feel overwhelmed by choice paralysis, even experienced ones.
As a frequent traveler who faced these same pain points, I designed Voyage Vibe to simplify the user journey through organized, reliable, and adaptable workflows—transforming the end-to-end experience so planning feels exciting again, not exhausting.
To keep the scope manageable, this project focuses specifically on activity planning within the overall trip experience.
I started with in-depth interviews to explore their trip planning behaviors, frustrations, and need; Followed by a survey to validate the user patterns. The results: 60% - Overwhelm and decision fatigue , 60% Trust and reliability issues, 40% -Need for personalized experiences.
30+ minutes
15-30 minutes
5-15 minutes
5 minutes
50%
30%
15%
5%
The Review Gap
Outdated information
The Hidden Fee Fear
The Lack of Support
60%
25%
10%
5%
40% Personalized recommendations
25 %Interactive maps
15% Integration with transportation
10% Integration with social media
5% Language translation
I Synthesized insights from heuristic evaluations of competitor platforms and qualitative analysis of user reviews to identify gaps and opportunities for differentiation:
Filters can feel overwhelming or unclear
Personalization & itinerary tools inconsistent or underdeveloped
Limited itinerary planing tools
Lack of smart comparison of activities
To reduce drop-off and make setup feel effortless, I designed a lightweight, gamified flow instead of a traditional form.
The experience includes:
3-step personality quiz focused on Who, Pace, and Interests
Visual choice cards for a playful, engaging interaction
Progress bar to guide users and reduce drop-off
Human-centered microcopy that feels natural and relatable
This approach turns onboarding from a task into an engaging experience, boosting completion rates and creating an early emotional connection.
To help users optimize their itinerary without losing control, I added an inline AI suggestion feature.
Contextual AI suggestions based on user preferences and trip pace
Preview of changes before applying, preserving must-have selections
Clear explanation of what was updated
This approach increases user trust, reduces cognitive load, and helps travelers create a smoother, more enjoyable itinerary.
To prevent early confusion and feature blindness, I added a contextual onboarding layer that guides users step by step.
The experience includes:
Quick 2-step highlights showing the key features
Guidance on how to decide, not just what to choose
This approach reduces overwhelm, boosts feature adoption, and helps users navigate the experience with confidence.
Instead of a long list of options, the system highlights the best-fit activity—like a trusted guide pointing straight to what matters.
This approach:
Cuts research and decision fatigue
Smooths the path from idea to booking
Helps users act faster with confidence
By focusing on what people truly want, inspiration turns into action effortlessly.
Instead of asking users to create an account immediately, I allowed them to fully explore and build their itinerary first.
Users can:
Plan a complete trip without signing up
Experience the product’s value before sharing personal information
Reach the key “this is useful” moment much faster
By asking for registration only after users see the benefit, the experience feels trust-based and user-focused, not transactional.
This approach builds confidence first — which naturally increases the likelihood of meaningful sign-ups and completed bookings.
I learned that testing with users of varying ages and digital skill levels revealed usability and accessibility gaps that would have been missed with a more uniform user group.
I learned that a gamified, reward-based login flow—where users first experience value and log in only to save or book—can significantly reduce friction and increase engagement without a full redesign.
