[Case 02]

25% Growth in Checkout Completion

Fintech

Accelerating 15% Growth in Acquisition for Payment Solutions

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, and adding features.

[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]

Fintech

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

[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.

Simplification is key

Users value a quick and easy process, especially on mobile.

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.

Iterative testing pays off

Regular testing uncovered hidden issues and ensured the design met user needs.

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.

Details matter

Small improvements, like error validation and mobile optimization, had a significant impact.

Details matter

Small improvements, like error validation and mobile optimization, had a significant impact.

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