[Case 05]

Enabled quick access to travel-health doctors during COVID-19.

Travel and health

Global Traveler : Helping People Travel Safely and Confidently

A travel-health platform designed during the pandemic to keep users informed and protected.

[Project Overview]

Global Traveler is a travel-health app created during the COVID-19 pandemic to help users make safe, informed travel decisions. It provides real-time country health updates, COVID-19 guidelines, disease and vaccination info, and access to travel-health doctors—bringing all essential safety insights into one reliable platform.

[Problem Statement]

During the COVID-19 pandemic, travelers struggled to find reliable, up-to-date health information and clear travel guidelines. Important details about restrictions, diseases, and vaccinations were scattered, causing confusion and stress. Travelers also lacked an easy way to consult a travel-health doctor or book an appointment for expert guidance. They needed a single, trustworthy platform to access real-time health updates and medical support before traveling.

[Industry]

Travel and health

[My Role]

Product Designer

[Platforms]

Ios and Android

[Timeline]

2020

[Persona]

Jhon Roberts

Marketing Manager

Age: 29

Location: New York City

Tech Proficiency: Moderate

Gender: Male

[Goal]

Quickly complete purchases without interruptions.

Access accurate product details and a seamless payment process.

Trust the platform with his payment and personal information.

[Frustrations]

Quickly complete purchases without interruptions.

Access accurate product details and a seamless payment process.

Trust the platform with his payment and personal information.

[Process]

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[Outcome]

25% increase in checkout completion rates.
30% reduction in cart abandonment on mobile devices.
30% reduction in cart abandonment on mobile devices.

[Key Learnings]

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

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