Accom Booking Web App.
Accom.ai is a smart accommodation booking platform designed to help couples find personalized stays faster and with greater confidence.
The product was initiated after the founder struggled to find relevant, trustworthy information while booking a romantic getaway in Lake Crackenback, Australia. Research revealed that 80% of users experienced similar frustrations — spending excessive time filtering through results and still lacking confidence in their booking decisions.
tHE CHALLENGE
The challenge was to design a system that gives users more control, more clarity, and more confidence — without increasing complexity.
WORKFLOW
Research
Wireframes
High-fidelity
Prototype
Usability testing
TOOLS
Figma
FigJam
Whimsical
TIME
2025
08 weeks
PRODUCT
Accom.ai
Key Design Decisions
Decision 1 — Context-Based Filtering
Instead of only offering technical filters (price, beds, bathrooms), I introduced:
Occasion-based filtering (e.g., romantic getaway)
Style preferences
Nearby activities
Comfort vs convenience sorting
This aligns with how couples actually think about trips — emotionally first, logically second
Decision 2 — Real-Time Map Feedback
The map dynamically updates as filters are applied.
Why?
Location is often the biggest regret factor in accommodation bookings.
Immediate visual feedback helps users understand trade-offs before committing.
Final Designs
Homepage
Search Results
Checkout
Search Results - Loading
Become a Host
Mobile Screens
What I Learned
This project strengthened my product-strategy thinking, highlighting that search should reduce cognitive load, context matters more than extra features, checkout transparency builds trust, and filters must reflect emotional—not just functional—intent.
Accom.ai demonstrates my ability to combine research, system thinking, and UI execution to design products that solve real decision-making problems — not just interface challenges.
