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QA for Finverse - Secure Banking & Crypto Platform
Scalable QA strategy for fast-growing fintech platform
QA for Finverse - Secure Banking & Crypto Platform
Scalable QA strategy for fast-growing fintech platform
The Challenge
Finverse is a fast-growing fintech platform combining banking services and cryptocurrency exchange.
With rapid feature releases and complex flows (2FA login, fiat , crypto transfers, compliance checks), the team faced a key problem:.
With rapid feature releases and complex flows (2FA login, fiat , crypto transfers, compliance checks), the team faced a key problem:.
-
- Manual regression cycles took up to 2–3 days.. - - Critical issues sometimes slipped into production, leading to hotfixes and release delays.
- - Critical issues sometimes slipped into production, leading to hotfixes and release delays.
Solution
Automation at the Core
- Playwright (TypeScript) used for UI & E2E tests.
- Critical flows (login + 2FA, payments, transfers, exchange rates) automated first.
- Smoke tests integrated into CI/CD to catch blockers within 10 minutes of build..
- Critical flows (login + 2FA, payments, transfers, exchange rates) automated first.
- Smoke tests integrated into CI/CD to catch blockers within 10 minutes of build..
Deep Regression Coverage
- Automated regression suite (~65–80% of core user paths)
- Manual QA for UX, exploratory testing, and edge cases
- BrowserStack matrix (iOS/Android, Chrome, Safari, Firefox, Edge)
- Manual QA for UX, exploratory testing, and edge cases
- BrowserStack matrix (iOS/Android, Chrome, Safari, Firefox, Edge)
Transparent Reporting
- Allure + Playwright HTML reports with screenshots, logs, and videos
- QA lead issued a Go/No-Go release report after each cycle
- QA lead issued a Go/No-Go release report after each cycle
Results
- Regression cycle time reduced from ~3 days to under 1 hour
- Zero blocking defects in login, payments, or transfers in the last 4 release cycles
- Defect escape rate lowered by 40%
- Faster releases: QA became a partner in delivery, not a bottleneck
- Zero blocking defects in login, payments, or transfers in the last 4 release cycles
- Defect escape rate lowered by 40%
- Faster releases: QA became a partner in delivery, not a bottleneck
Why This Works
-
Data-Driven Quality: Reports make quality visible to devs, PMs, and executives - Real-World Coverage: BrowserStack ensures flawless experience across devices
- Scalable: Automated tests grow with features, manual QA handles the rest
- Data-Driven Quality: Reports make quality visible to devs, PMs, and executives
Want a QA strategy like this?