CASE STUDY

QA for Scalable Remittance SaaS Platform

Executed full QA for a customizable money transfer platform, validating end-to-end flows including wallet, bulk transactions, multi-role access, and ensuring high stability by uncovering critical functional and concurrency issues.

FINTECH

ABOUT THE CLIENT

QA for Configurable Remittance SaaS Platform

Our client, a FinTech provider in the Middle East, developed a web-based remittance solution designed as a customizable SaaS module. The platform includes user roles, wallet features, single and bulk transactions, and Excel uploads. During its alpha phase, we were brought in to conduct structured QA to ensure stability, accuracy, and readiness for broader release.

HIGHLIGHTS

150+

Bugs Exposure

04

Users covered

Automated regression flows for faster test cycles
Ensured seamless Excel uploads under low bandwidth
Strengthened system resilience with concurrency validation

Tools we Used

PROBLEM STATEMENT

Ensuring Functional & Transactional Stability Under Load

The client required a robust validation framework for their remittance SaaS platform in its alpha phase. We tested wallet functions, bulk transfers, and role-based operations across key use cases. Excel upload validation and concurrent transaction accuracy were also addressed. With no prior test coverage, the platform was vulnerable to logic gaps and performance issues ahead of beta release.

OUR SOLUTION

Layered QA Approach with Performance and Automation

Designed comprehensive test coverage for all core flows
Simulated poor network conditions to assess stability
Used JMeter for concurrency and stress test simulations
Validated bulk transfer via Excel in edge cases
Built regression automation with Selenium
Synced QA sprints with development for rapid feedback

What we did?

Role-Based Journey Testing

Network Condition Simulation

Concurrent Load Simulation

Risk-Focused Automation Design

Role-Based Journey Testing

We started by mapping user journeys for all four defined roles: Super Admin, Admin, Sender, and Receiver. Each role was tested across feature modules to verify proper access permissions, action validation, and end-to-end user flow accuracy. We also checked cross-role interactions to ensure data integrity during role transitions or shared workflows.

Network Condition Simulation

To mimic real-world connectivity challenges, we engineered testing environments that simulated low-bandwidth and fluctuating network scenarios. This enabled us to catch issues like timeout misbehavior, failed retries, and improper session terminations. Wallet operations and Excel uploads were particularly scrutinized under these conditions, helping us uncover issues that wouldn’t appear under standard testing.

Concurrent Load Simulation

We leveraged JMeter to simulate multiple concurrent users performing transactions simultaneously, particularly multiple sends to the same receiver account. This helped us detect race conditions, ledger mismatches, and inconsistencies in wallet balances. It also allowed us to validate the robustness of backend transaction management under real-world usage spikes.

Risk-Focused Automation Design

Given the project’s Agile nature, we implemented a focused automation strategy targeting the most critical and repetitive scenarios. Using Selenium, we automated wallet verifications, transaction record validations, and permission checks. This allowed us to shorten testing cycles in subsequent sprints, reduce human error, and ensure consistent results without automating low-value test cases unnecessarily.

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