QA and Test Automation for a Large Fintech
A large fintech needed a dependable release process. Appsierra expanded the suite from 3,000 to 5,400 test cases, identified and addressed more than 930 defects, and introduced automation that cut regression testing from nine days to two while reaching roughly 90% coverage — including backend and API testing, service stubs and performance testing.
3000 → 5400
Test cases expanded
930+
Defects identified & addressed
9 → 2 days
Regression testing effort
~90%
Test coverage achieved
Client Overview
The client is a fintech corporation with over 3000 employees. It is building a digital payment ecosystem for domestic transactions, with the wider aim of a cashless economy. Its platform brings multiple bank accounts and cards into a single app, which makes payments simpler and cheaper for users.
The product is built for web and mobile using Agile methodologies, and the client knew it needed a proper quality assurance (QA) and testing program. Releases shipped every three weeks, and the product was complex, compliance-heavy and involved third-party integrations. The client wanted better quality in every release and a more structured way of testing.
They had three objectives: move from developers testing their own work to a defined testing program, test every release end to end, and stop frequent changes from hurting user experience and revenue.
The Challenges
The client was adding a new financial software product to its line-up, and it had no dedicated quality assurance department. Its analytical team had been doing all the testing as a stopgap, and that was not enough. So the client decided to build a full in-house QA department.
Key Requirements
- Perform end-to-end testing across multiple platforms within a tight three-week release cycle.
- Make releases simpler without disrupting work already in progress.
- Keep third-party integrations under control, including how they affect system performance.
- Use a mix of manual and automated testing.
The Solution
The client asked us to test the new financial software for its MVP release and to help stand up its QA department.
Our job was to provide quality assurance services while the product was being built. A big part of that was test coverage: we took the suite from 3000 test cases to 5400.
Over the engagement we found and helped fix more than 930 defects. We also built organised suites for regression and sanity testing. To give the client a working QA process, we brought in the Jira XRay plugin, a test management tool the team used to organise and plan testing, report progress accurately, and make builds easier to deploy.
Furthermore, we provided consulting services to optimize their testing procedures. This included:
- Writing simple stubs, built from the API specifications, that stand in for external services so their scenarios can be tested.
- Testing the backend and API end to end.
- Adding test automation so the team spent less time on repeat runs.
- Writing documentation that covered how each feature works, expected usage scenarios, user flows, and details such as calculation formulas and specific values.
- Performing platform performance testing.
- Checking release notes properly and making story ticket descriptions clearer.
All of this served one aim: get the client's financial software tested properly and released on schedule.
Our Testing Process
1. Functionality Analysis
2. Test Planning
3. Test Design
4. Test Execution
5. Reporting
Solution Overview
We tested the product from every angle: functional, UI, cross-platform and cross-device. Automation was built into the QA process from the start so the team could keep up with the testing workload.
Domain Knowledge
The product was complex and heavily regulated, so we worked closely with the client's Product team. We suggested writing user stories in Gherkin, in a BDD style, to make requirements unambiguous, and we trained the Product team to write them well.
Quality Improvement Plan
We drew up a long-term roadmap: break requirements into test scenarios, decide which types of testing each area needed, grow automation coverage, and tighten the QA process as a whole. Regression testing became a regular part of the release cycle, using matrix-based coverage.
Regression Testing
We took ownership of regression testing and used a coverage matrix to see which areas each new feature or fix touched. Our domain knowledge told us where to aim exploratory testing, which kept bugs from slipping into production.
Automation Testing
The automation program started with an assessment report covering objectives, strategy, tool selection, framework guidelines, reporting and maintainability. We ranked the test cases and automated the high-priority ones first, to get the most coverage in the least time.
Key Benefits for the Client
- Reached roughly 90% test coverage, which raised overall quality considerably.
- Automated more than 5000 regression cases across multiple platforms without disrupting ongoing work.
- Better user stories, written in a BDD-style format.
- Reduced bug slippages through impact analysis and matrix-based coverage.
- Cut regression testing effort from 9 days to 2, freeing time for exploratory testing.
- Interactive test reports gave the team the information it needed to make release decisions.
Conclusion
With a QA and testing strategy that combined manual and automated work, the fintech company shipped a better product, spent less effort on testing and ran smoother releases. Domain knowledge, automation and close teamwork together gave it a testing setup it could rely on, which supports its goal of a cashless economy.
Case study FAQs
Who was the client in this quality assurance case study?
The client was a fintech corporation with over 3000 employees, building an advanced digital payment ecosystem for seamless domestic transactions and a cashless economy. Their platform combines multiple bank accounts and cards into a single app, developed for web and mobile using Agile methodologies with a short three-week release cycle.
What quality assurance challenge did the fintech client face?
The client's primary challenge was the absence of a dedicated quality assurance department. Their analytical team had been responsible for all testing, but it proved inadequate for their complex, compliance-heavy product with third-party integrations. They needed to shift from a developer-driven QA approach to a well-defined, structured testing program with comprehensive end-to-end coverage.
How did Appsierra improve the client's testing procedures?
Appsierra delivered quality assurance services and helped transition the QA department, expanding test cases from 3000 to 5400 and identifying over 930 defects. The team organized regression and sanity test suites, introduced the Jira XRay plugin for test management, and provided consulting covering backend and API testing, test automation, documentation, and performance testing.
What were the results for the fintech client?
The engagement achieved approximately 90% test coverage and automated over 5000 regression cases across multiple platforms. Regression testing effort was reduced from 9 days to just 2 days, user story writing improved through a BDD-style format, and bug slippages fell through impact analysis and matrix-based coverage, enabling more concentrated exploratory testing.
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