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Case Study: QA for
Finverse
Finverse
— Secure Banking & Crypto 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: •Manual regression cycles took up to 2–3 days. •Critical issues sometimes slipped into production, leading to hotfixes and release delays. •The product needed a scalable QA strategy that matched its pace of growth and strict compliance requirements. |
The Solution
We built a hybrid QA process — combining automation with targeted manual testing.
1.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.
2.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).
3.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.
The 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%, meaning far fewer production issues.
- Faster releases: QA became a partner in delivery, not a bottleneck.
Client Voice
Why This Works for Finverse
Balanced Approach: Fast smoke gates + deeper regression packs.
Scalable: Automated tests grow with features, manual QA handles the rest.
Real-World Coverage: BrowserStack ensures flawless experience across devices.
Data-Driven Quality: Reports make quality visible to devs, PMs, and executives.
Visual Suggestion (optional for your site)
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A pipeline diagram: Build → Smoke → Regression → Report → Release. -
A screenshot of an Allure test report. -
A chart showing regression time before vs. after automation.
Short Promo Version (for a landing card)
Finverse QA: From 3-day manual regressions to 1-hour automated runs. Playwright + BrowserStack + CI/CD smoke gates = stable, compliant releases with 40% fewer production issues.