Travel Mobile App

Mobile App Design


UX | UI | Visual Design | Usability Testing


Relying on recommendations by random people on a website can easily make a fun night out into a disaster. After all, who knows their city better than the locals who eat, drink, stay and play there daily? We want to help people have great experiences through quality custom recommendations.

Problem Statement

We believe that by offering people a customized restaurant, hotel, bar and activity recommendation, they will achieve a better travel experience. We will know this to be true when multiple users use this app to plan trips. We will be able to measure this by the amount of mobile app downloads.

Competitor Analysis

Sample Interview Questions

How do you normally get to the airport? (drive, cab, public transportation)
Assuming you have already booked a flight, how do you determine what time you need to be at the airport?
Have you ever missed a flight? if so why?
Once you arrive to your destination how do you typically leave the airport? (rental car, cab, public transportation)
New Destination
What are important factors on deciding where to stay in a new city?(location, cost, reviews)
How do you determine what places you visit on your trip?
How do you get to the destinations on the trip?
How do you find places to eat on the trip?
What are important factors on where you decide to dine? (cost, location, reviews)

Sample Interview Findings

What started out as an idea of creating a better airport planning app quickly evolved into a mobile app to help create a better travel experience. It was because of my user research I was able to determine the need to pivot into a different direction. Through the user interviews I was able to recognize multiple pain-points that frequent travelers’ experienced when planning trips. If you notice in my competitor analysis above, Trip advisor and Yelp are not included. This is because they were not competitors of my initial app concept. The competitor analysis was later revised to include them as competitors.

Sample Interview Findings
Katie preferred the use of apps and websites when planning her trip. She predominately used Kayak as her main way to book flights, but didn’t like the interface of the hotels sections so she used multiple other sites to find hotel rooms. She liked the flight section of Kayak, but said finding different times can be improved upon. She has TSA precheck which helps cut down the amount of time she needs to arrive to the airport. She did mention that she prefers to be really early rather than cutting it close and always ubers to the airport unless it’s during rush hour then she takes public transportation.

Katie heavily relies on input from friends and family to decide trip destinations. When deciding on hotels she would rather pay more for better location and better quality.

Key Observations:
• Pulls travel info from multiple sources and would like it to be condensed into on application.
• Would like a more trust worthy recommendation source.
• Doesn’t like all the leg work in planning trips.

Primary Persona


After analyzing my data I planned out the features my app would include. I did this by simplifying my goal and creating a list of “dream features.” This list included every feature I could think of that would benefit the user.
Primary Goal:
“To be able to plan a trip with minimal aggravation and receive high-quality, personalized recommendations.”
Dream List of Features:
Multiple languages, Custom user profiles, Recommendation rating system, Profile matching for similar tastes, Directions, Restaurant, hotel, bar and activity features, Attributes to assist above features (ie. menus, locations based on landmarks, distance from location, etc. ), Messaging system (For use of local to traveler ), Category types (food types, activity cost, hotel ranking, bar atmosphere, etc.)

After compiling a dream list of features I then needed to comb through the list to determine which features user would expect and which feaures would have a high impact for the user. I did this by constructing a features proiritization chart. The chart was broken up into four quadrants like the sample below. By listing out the features and charting them on graph I was able to determine which features were vital to make the app the best user experience possible.

Primary Features
• Custom User Profiles
• Recommendation Rating System
• 4 Major Categories (Restaurants, bars, hotels, activities)
• Directions (GPS)
• Menu Categories
• Direct Vendor Contact

More To Come Soon