TRAVA is a mobile travel discovery app that helps users explore famous places in any location. Users can choose a destination and instantly see curated and easy-to-navigate recommendations
Eliminating the need for scattered research across multiple platforms.
Travellers face difficulty choosing places to visit and restaurants to eat due to scattered information across multiple platforms, leading to confusion, decision fatigue, and time-consuming trip planning.
problem & solution
Problem
Trava simplifies travel discovery by offering curated, location-based recommendations for famous places and restaurants, enabling users to explore, decide, and plan trips quickly and confidently.
Solution
MARKET TRENDS
Travel app market growing at ~6–11% CAGR globally
Driven by:
Smartphone usage
Digital-first travel behavior
Rapid Market Growth
Users prefer customized recommendations & AI-based suggestions
42% of travelers already use AI tools for planning
Shift to Personalization
Travel planning becoming shorter & more spontaneous
Many trips are booked days or hours before (behavior shift)
Faster, Last-Minute Decisions
81% users find travel planning overwhelming due to too many choices
Decision Overload is Rising
MARKET RESEARCH
Search Based not exploratory
Navigation Based
Time consuming Browsing
Review Based
Travel planning becoming shorter & more spontaneous
Many trips are booked days or hours before (behavior shift)
Booking Based
Visual No Guidance
Inspiration Based
GOOGLE MAPS
TRIPADVISOR
Airbnb,Skyscanner
Instagram,Youtube
CI STUDY
Everyday environments where spontaneous travel decisions occur (hostels, cafes, during commute)
Context Selection
Understand how users decide where to go
Identify pain points in quick trip planning
Observe tools, behaviors, and decision patterns
Goals
Time: Evening / Weekend
Location: Hostel / Cafe / Car
People: Friends / Individuals
Devices: Phone, apps (Maps, Instagram)
Actions: Searching, scrolling, discussing
Problems: Confusion, delay, indecision
Protocol
Context:
Moments of free time leading to unplanned outing decisions
Situation
SECONDARY RESEACH
QUANTITATIVE
QUALITATIVE
Prefers bike rides and short spontaneous trips
Travels within 50–80 km radius
Uses Google Maps occasionally
User 1 – Student (Bike Drive Explorer, 21 yrs)
Quote:
“I just pick a direction and go, but I don’t know good spots on the way.”
Pain Points:
No discovery while riding
Misses interesting nearby places
Prefers solo, peaceful trips
Looks for quick escapes from routine
Uses Instagram
User 2 – Engineer (Solo Traveler ,26 yrs)
Quote:
I don’t want to spend time planning, just suggest something nearby.
Pain Points:
No discovery while riding
Misses interesting nearby places
Travels with friends for fun outings
Uses Instagram + group discussion
User 3 – Product Manager(Organized Traveler,28 yrs)
Quote:
“We keep discussing and end up wasting time deciding.”
Pain Points:
Group indecision
Too many options
PRIMARY RESEACH
KEY PSYCHOLOGICAL INSIGHTS
→ Too many options make it hard to choose
Decision Fatigue
→ Users spend more time deciding than traveling
Time-Consuming Planning
→ Excess reviews, lists, and sources create confusion
Information Overload
→ No platform supports quick, spontaneous “go now” decisions
Decision Fatigue
EMPATHY MAPPING
“Let’s just go somewhere nearby”
“I don’t want to plan too much”
“We’ll figure it out on the way”
“This is taking too long”
SAYS
“I just want to go somewhere without overthinking”
“Planning trips is exhausting”
“There are too many options online”
“What if I miss a better place?”
“I wish someone could just tell me where to go”
THINKS
Googles random places
Scrolls endlessly through apps
Saves places but never decides
Sometimes cancels plans due to confusion
DOES
Overwhelmed 😵
Excited to explore ✨
Anxious about making wrong choice
Frustrated with planning
FEELS
FUNCTIONAL REQUIREMENT
Show nearby travel destinations
Allow users to set radius (e.g., 10–100 km)
Provide quick filters (budget, time, type)
One-tap selection of destination
Show basic info (distance, travel time, highlights)
Save/bookmark destinations
Generate simple trip plan
Provide route/navigation
Personalized recommendations
Offline access (basic info)
