Trip Scout UX Case Study

Trip Scout is travel mobile app provide travelers with recommendations for things to do and restaurant recommendations when abroad.

Trip Scout is travel mobile app provide travelers with recommendations for things to do and restaurant recommendations when abroad.

Trip Scout is travel mobile app provide travelers with recommendations for things to do and restaurant recommendations when abroad.

This is a versatile and reliable product that is designed to meet the needs of its users. Whether you're looking for convenience, functionality, or simply a high-quality product, this is the perfect choice for you.

This is a versatile and reliable product that is designed to meet the needs of its users. Whether you're looking for convenience, functionality, or simply a high-quality product, this is the perfect choice for you.

This is a versatile and reliable product that is designed to meet the needs of its users. Whether you're looking for convenience, functionality, or simply a high-quality product, this is the perfect choice for you.

Client

Client Name

Services

User experience User interface Mobile app

Industries

Travel industry

Date

January 2023

Dashboard Sidebar Close Up
Dashboard Sidebar Close Up
Dashboard Sidebar Close Up

Problem


Trip Scout aims to provide travelers with recommendations for things to do and restaurant recommendations when abroad.

Problem: we are tackling how to offer more personalized recommendations to our users the first time they use the app.

Jack needs a way to find his recommendation very fast because he makes decisions on the go without a lot of planning.

What can I do to address the problem?

I believe that by doing deep research on Spontaneous Travelers.  I will know their needs in the app, And I measure them by:

- Online survey for a target audience.

- User testing for onboarding screen to find if a user finds what they need and measure it from 1 to

Goals

- Find the best recommendation for a Spontaneous Traveler.

- I am knowing personal recommendations through the onboarding Screen.
Research

Research Questions
  • What are users looking for in new places?

  • What kinds of information do users expect from travel apps?

  • What is the travel style of a spontaneous Traveler who travels sometimes without planning?

Target User

Spontaneous Traveler: who makes decisions on the go without a lot of planning

Travelers: who sometimes travel without planning to new places.

Survey
I have conducted online survey-based research.




Survey finding:

All the participants in a survey with various age ranges:

  • Half of the participants fall into the category of a spontaneous traveler

  • Most participants prefer to walk a lot and discover things in new places.

  • All participants want to try local food.

  • Age bracket effect travel style.

Competitive analysis

( i didn’t find any app or tool like the idea of TripScout. But seen some similar case studies to it)

  • I found a paper published in a semantic scholar About a website called (TripEneer). It is instrumental in how they find solutions for travel recommendations. I try to find their site But found it down. They depend on five different ranking models (Guides Ranking - Check-ins Ranking - User-based Ranking - Friends-based Ranking - Hybrid Ranking)

  • Use user location: let the app take permission to locate the user at the start. This step will narrow our recommendation.


Define

After reviewing the survey results, I established user personas based on the data I gathered. Before developing the personas, I created empathy maps that would help formulate the personalities of the personas. Two personas were created: "John (busy person)" and "Tara (search for inspiration)"


Empathy Maps


User Personas

User Flow


Every Onboarding screen is designed to narrow user needs so that we can find the best recommendation based on our user research.



Problem


Trip Scout aims to provide travelers with recommendations for things to do and restaurant recommendations when abroad.

Problem: we are tackling how to offer more personalized recommendations to our users the first time they use the app.

Jack needs a way to find his recommendation very fast because he makes decisions on the go without a lot of planning.

What can I do to address the problem?

I believe that by doing deep research on Spontaneous Travelers.  I will know their needs in the app, And I measure them by:

- Online survey for a target audience.

- User testing for onboarding screen to find if a user finds what they need and measure it from 1 to

Goals

- Find the best recommendation for a Spontaneous Traveler.

- I am knowing personal recommendations through the onboarding Screen.
Research

Research Questions
  • What are users looking for in new places?

  • What kinds of information do users expect from travel apps?

  • What is the travel style of a spontaneous Traveler who travels sometimes without planning?

Target User

Spontaneous Traveler: who makes decisions on the go without a lot of planning

Travelers: who sometimes travel without planning to new places.

Survey
I have conducted online survey-based research.




Survey finding:

All the participants in a survey with various age ranges:

  • Half of the participants fall into the category of a spontaneous traveler

  • Most participants prefer to walk a lot and discover things in new places.

  • All participants want to try local food.

  • Age bracket effect travel style.

Competitive analysis

( i didn’t find any app or tool like the idea of TripScout. But seen some similar case studies to it)

  • I found a paper published in a semantic scholar About a website called (TripEneer). It is instrumental in how they find solutions for travel recommendations. I try to find their site But found it down. They depend on five different ranking models (Guides Ranking - Check-ins Ranking - User-based Ranking - Friends-based Ranking - Hybrid Ranking)

  • Use user location: let the app take permission to locate the user at the start. This step will narrow our recommendation.


Define

After reviewing the survey results, I established user personas based on the data I gathered. Before developing the personas, I created empathy maps that would help formulate the personalities of the personas. Two personas were created: "John (busy person)" and "Tara (search for inspiration)"


Empathy Maps


User Personas

User Flow


Every Onboarding screen is designed to narrow user needs so that we can find the best recommendation based on our user research.



Problem


Trip Scout aims to provide travelers with recommendations for things to do and restaurant recommendations when abroad.

Problem: we are tackling how to offer more personalized recommendations to our users the first time they use the app.

Jack needs a way to find his recommendation very fast because he makes decisions on the go without a lot of planning.

What can I do to address the problem?

I believe that by doing deep research on Spontaneous Travelers.  I will know their needs in the app, And I measure them by:

- Online survey for a target audience.

- User testing for onboarding screen to find if a user finds what they need and measure it from 1 to

Goals

- Find the best recommendation for a Spontaneous Traveler.

- I am knowing personal recommendations through the onboarding Screen.
Research

Research Questions
  • What are users looking for in new places?

  • What kinds of information do users expect from travel apps?

  • What is the travel style of a spontaneous Traveler who travels sometimes without planning?

Target User

Spontaneous Traveler: who makes decisions on the go without a lot of planning

Travelers: who sometimes travel without planning to new places.

Survey
I have conducted online survey-based research.




Survey finding:

All the participants in a survey with various age ranges:

  • Half of the participants fall into the category of a spontaneous traveler

  • Most participants prefer to walk a lot and discover things in new places.

  • All participants want to try local food.

  • Age bracket effect travel style.

Competitive analysis

( i didn’t find any app or tool like the idea of TripScout. But seen some similar case studies to it)

  • I found a paper published in a semantic scholar About a website called (TripEneer). It is instrumental in how they find solutions for travel recommendations. I try to find their site But found it down. They depend on five different ranking models (Guides Ranking - Check-ins Ranking - User-based Ranking - Friends-based Ranking - Hybrid Ranking)

  • Use user location: let the app take permission to locate the user at the start. This step will narrow our recommendation.


Define

After reviewing the survey results, I established user personas based on the data I gathered. Before developing the personas, I created empathy maps that would help formulate the personalities of the personas. Two personas were created: "John (busy person)" and "Tara (search for inspiration)"


Empathy Maps


User Personas

User Flow


Every Onboarding screen is designed to narrow user needs so that we can find the best recommendation based on our user research.



Design


Low-Fidelity Wireframes




High-Fidelity Wireframes


Interaction Design


Prototype

Validate:


User Testing
I approach 2 users (family and friends) and I used a remote tool to test users too.

25 participants

I found some serious problems in my design:

1- location's screen heat map shows confusing behavior from users, Because of the images and icons shown there.

2- Time's Screen: we need to confirm success, So the user knows its core action and He/She is meant to take it. And Improve UX writing

3- The existence of a map on the next screen gives the wrong message. The heat map shows users thinking it is clickable.

4- Car information and walk information aren't visible or recognized, and it's a core feature, based on user research Most of our user targets prefer walking.


Sketches


Low-Fidelity Wireframes


Solution





Product Designer interested in SaaS products for education and hospitality. Have a passion for Research and conducting UX Audit

Product Designer interested in SaaS products for education and hospitality. Have a passion for Research and conducting UX Audit

Product Designer interested in SaaS products for education and hospitality. Have a passion for Research and conducting UX Audit