[Case 01]
Enhancing Travel Planning 25% More Bookings
Travel
25% More Bookings Through Simplified Navigation
Boosting Conversion Rates for E-commerce Checkout
[Project Overview]
Faced with a 40% cart abandonment rate, I redesigned the checkout flow to address user pain points. By simplifying the process, optimizing for mobile.
[Problem Statement]
The platform struggled with a 40% cart abandonment rate during checkout. Users encountered unclear error messages, redundant fields, and poor mobile optimization, leading to frustration and drop-offs.
[Industry]
Travel
[My Role]
Lead Designer
[Platforms]
Desktop and Android
[Timeline]
January 2024- March 2024
[Persona]
Jhon Roberts
Marketing Manager
I just want the checkout to be quick and painless—no surprises or unnecessary steps!
Age: 29
Location: New York City
Tech Proficiency: Moderate
Gender: Male
[Goal]
Quickly complete purchases without interruptions.
Trust the platform to handle her payment securely.
Access a seamless mobile shopping experience.
[Frustrations]
Long or confusing checkout processes.
Error messages that don’t explain the issue.
Poor mobile optimization that slows her down.
[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.
Analyzed behavioral data to identify bottlenecks in the current flow.
Analyzed behavioral data to identify bottlenecks in the current flow.
Analyzed behavioral data to identify bottlenecks in the current flow.
Benchmarked against competitors to identify best practices for checkout flows.
[02] Insights
Conducted interviews with 15 frequent users to uncover frustrations and preferences.
Analyzed behavioral data to identify bottlenecks in the current flow.
Analyzed behavioral data to identify bottlenecks in the current flow.
Analyzed behavioral data to identify bottlenecks in the current flow.
Analyzed behavioral data to identify bottlenecks in the current flow.
Benchmarked against competitors to identify best practices for checkout flows.
[03 Design Solution]
Conducted interviews with 15 frequent users to uncover frustrations and preferences.
Analyzed behavioral data to identify bottlenecks in the current flow.
Analyzed behavioral data to identify bottlenecks in the current flow.
Analyzed behavioral data to identify bottlenecks in the current flow.
Analyzed behavioral data to identify bottlenecks in the current flow.
Benchmarked against competitors to identify best practices for checkout flows.
[04] Testing & Iteration
Conducted interviews with 15 frequent users to uncover frustrations and preferences.
Analyzed behavioral data to identify bottlenecks in the current flow.
Analyzed behavioral data to identify bottlenecks in the current flow.
Analyzed behavioral data to identify bottlenecks in the current flow.
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.
40% improvement in perceived ease of use, as measured by post-launch surveys.
[Key Learnings]
Simplification is key
Users value a quick and easy process, especially on mobile.
Iterative testing pays off
Regular testing uncovered hidden issues and ensured the design met user needs.
Details matter
Small improvements, like error validation and mobile optimization, had a significant impact.