From Broken Tests to 80% Coverage: How NikahForever Transformed Mobile App Testing with Drizz | Case Study

Industry: Matrimonial / Consumer Mobile ·
Platform: Android + iOS ·
Tool: Drizz ·
Result: 80%+ coverage · 50+ tests · Zero locators · Day 1 productivity

About NikahForever

NikahForever is one of India's leading matrimonial platforms, with a feature-rich mobile app spanning 80+ screens across Android and iOS. As the product scaled, their QA setup couldn't keep pace every release brought broken tests, setup overhead, and coverage gaps.

The Challenge

Before Drizz, NikahForever's QA team ran on traditional locator-based frameworks. Three problems compounded fast:

1. Excessive setup before any test could run. Every UI element needed a manually defined locator IDs, XPaths, accessibility labels. For a complex app, this meant weeks of setup work before meaningful coverage could begin. And it had to be repeated with every significant UI update.

2. Tests that broke on every release. Frequent UI changes, new feature rollouts, and dynamic pop-ups broke scripts without warning. Each release became a fire drill: fix broken tests first, ship quality second. Coverage expansion stalled.

3. Code-heavy tooling that blocked the QA team. Writing and maintaining tests required Python or Java expertise. Non-developer testers couldn't contribute. Engineering bandwidth meant for building features got diverted into test maintenance.

How Drizz Solved It

Drizz replaces locators entirely with AI-powered vision it identifies UI elements by how they look on screen, not by code attributes. Tests are written in plain English. The platform adapts automatically when the app changes.

The immediate benefits for NikahForever:

Zero setup no locator definitions, no boilerplate, no manual element identification
Self-healing tests Drizz adapts to UI changes automatically, no re-writes needed
Unified API + UI full end-to-end coverage in one platform, no tool-switching
Natural language authoring any tester writes cases in plain English, no code required
CI/CD integration automated execution on every build, instant regression feedback

What the Team Built

Once live on Drizz, the NikahForever QA team moved fast. They built 50+ test cases covering the full app surface:

Full onboarding flow first launch through profile creation and photo submission
Chat automation across 80+ screens initiation, messaging, media sharing, connection management
2 CI/CD scenarios with 20 test cases each running automatically on every build
Precision element targeting correctly identifying elements even when multiple shared identical names
Date picker and non-standard elements native wheel controls that traditional tools couldn't handle at all
Visual test reports before/after screenshots with plain-English explanations for every step

Test Scenario	Test Cases	Trigger
Scenario A – Core User Flows	20	Every build
Scenario B – Registration & Profile	20	Every build

Results: The Numbers That Matter

Metric	Before Drizz	After Drizz
Automation coverage	Low, fragile	80%+ across API and UI
Total test cases	Limited, high-maintenance	50+ authored and actively maintained
Locator dependency	100% – all tests locator-bound	Zero
Test stability	Broke on every UI update	Self-healing through continuous updates
API + UI in one platform	No – separate tools required	Yes – fully unified
Time to first test	Weeks of setup	Day 1
Reporting quality	Log-based, hard to parse	Visual, step-by-step with screenshots

What the QA Lead Said

"With Drizz, we've simplified automation and ensured quality with less effort no more broken tests or tedious setups."

— Ifra, QA Lead at NikahForever
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Conclusion

NikahForever went from a fragile, high-maintenance test suite to 80%+ automation coverage with zero locators, self-healing tests, and a QA team that ships independently from Day 1. The tool made the difference.

If your mobile QA is bottlenecked by setup overhead, broken tests, or coverage gaps, the path forward looks a lot like NikahForever's.

Ready to see it in action?

Schedule a demo → | Explore the platform

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