
Users Needs
-
Clear, trustworthy recommendations
-
Personalized discovery, not generic lists
-
Safety reliability & real-time filters
-
Easy navigation (with AR or safe routes)
-
Integrated stay, food, adventure, and places info
-
Crowd density indicators
-
Offline access for remote regions
-
Social-proof from real locals
Research Goals
-
Understand how tourists currently discover places, cafés, adventures, and hotels
-
Identify pain points while navigating a new city
-
Understand decision-making criteria (budget, time, distance, safety, reviews)
-
Explore what “good experience” means during travel
-
Validate whether tourists need a single unified app for exploration
-
Discover opportunities for improving trust, safety, and personalization
Target Users
-
International travelers
-
Solo and group backpackers
-
College students exploring new cities
-
Family vacationers
-
Adventure seekers
User Research
Solution Overview
Roamate is a smart, location-based app that gives tourists curated suggestions for:
-
Finding local hidden gems, not just popular attractions
-
Discovering authentic cafes, food spots, and experiences
-
Understanding which places are safe, nearby, or worth visiting
-
Comparing hotels or stays based on real-time availability
-
Navigating all this across multiple apps, websites, blogs, maps
-
This creates decision overload, confusion, and wasted time
Goal
-
Finding local hidden gems, not just popular attractions
-
To create a unified platform that helps tourists instantly discover:
-
Local attractions
-
Trending cafes & eateries
-
Adventure activities
-
Nearby hotels & stays
-
Travel routes & guided directions
-
—all tailored to their preferences, safety, budget, and distance.
Roamate
Discover, eat, and relax — your entire trip managed in one convenient app.
Problem Statement
Tourists arriving in a new city often struggle with:
-
Finding local hidden gems, not just popular attractions
-
Discovering authentic cafes, food spots, and experiences
-
Understanding which places are safe, nearby, or worth visiting
-
Comparing hotels or stays based on real-time availability
-
Navigating all this across multiple apps, websites, blogs, maps
-
This creates decision overload, confusion, and wasted time
Research Methods
Survey Insights

Contextual Observation Findings
Observed Behaviors
-
Tourists often checked Google Maps → Instagram → TripAdvisor → then asked locals
-
Travelers took screenshots of places to avoid losing the internet
-
Many walked in circles due to poor landmark-based directions
-
Backpackers often asked café staff for local recommendations
-
Adventure seekers hesitated to trust local operators without reviews
Emotional Observations
-
Anxiety when unsure about directions
-
Excitement when discovering a unique café
-
Frustration with inaccurate reviews
-
Relief when finding clear, safe walking routes
User Personas



User Pain

Information Architecture

Wireframes (rough idea)

Get in touch for opportunities or just to say hi!👋



