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App testing and QA · India
Webzenia runs manual and automated QA across a real mid-range Android matrix, so a buggy release never reaches the store.
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What mobile app QA actually is
App QA is not clicking the happy path once. It is functional, performance, security and compatibility testing on the real devices your users carry.
Tested on the phones and OS versions your users actually have, not just one simulator, so fragmentation does not bite at launch.
Regression-prone flows automated with Appium, so a fix in one place never quietly breaks another.
A pass/fail gate before each release, so what ships is what was tested, with the failures known.
What we test
From the core flows to the security surface, the testing that decides whether a build is fit to ship.
Every flow checked against the spec, edge cases included
the app does what it is supposed to
Cold start, memory, battery and behaviour on low-end phones and slow networks
an app that stays fast
Data storage, network and auth checked against OWASP MASVS
no obvious way in for an attacker
Across the device matrix, OS versions and screen sizes your users have
it works on their phone, not just ours
Appium suites for the regression-prone flows, run on every build
regressions caught the same day
Human testing of the paths automation misses, with reproducible reports
the weird bugs, found and filed
Tested, or shipped on hope
Skipping QA does not save the cost of testing; it moves it. The bugs still get found, just by users, in the ratings, after release.
| Ship and find outFound in reviews | QA before releaseFound in test | |
|---|---|---|
| Who finds the bug | A user, in public, in a one-star review. | QA, on a real device, before the release. |
| Devices | Tested on the developer’s one phone. | Tested across the matrix your users carry. |
| Regressions | A fix here silently breaks something there. | Automated suites catch them the same day. |
| Cost of a bug | A hotfix, a re-review and a dented rating. | A ticket, before anyone is affected. |
A bug found in QA costs a fix; the same bug found in production costs a hotfix, a store re-review and a rating. We run the gate so the expensive version never happens.
How we test
A pass on one flagship is not a pass. We test where the users are: across the fragmented, mid-range Android reality.
We test on a real-device matrix spanning the OS versions, screen sizes and low-RAM phones common in India, because the simulator hides what the cheap phone reveals.
We automate the regression-prone flows with Appium and run them on every build, so a change is checked against everything it might have broken.
We test data storage, network and auth against the OWASP MASVS, so a known mobile vulnerability is not what your users discover.
We measure cold start, memory and behaviour on low-end devices and slow networks, so the app is fast for the user, not the demo.
What the engagement covers
Not a single pass before launch. A plan, the cases, the automation, the device runs and a clear report.
We map the flows, the risks and the device matrix, so testing covers what matters, not a random walk.
Functional, edge and negative cases written and reviewed, so coverage is a decision, not an accident.
Appium suites for the regression-prone flows, wired into the build, so they run on every change.
Functional, compatibility and performance runs across the real-device matrix, manual where automation cannot reach.
A security review against OWASP MASVS on storage, network and auth, with findings ranked by severity.
A clear pass/fail report with reproducible bugs, so you ship knowing exactly what is and is not fixed.
Apps we test
A fintech app, a commerce app and a health app each fail differently, and each needs the failure found in test, not production.
Money flows, security-tested.
Checkout that cannot drop orders.
Data handled, privacy tested.
Live flows, tested under load.
Video and tests across devices.
Complex apps, regression-covered.
Our stack
The stack behind apps that ship without the crash that sinks a review.
Appium is the cross-platform automation standard, driving real UI tests on both iOS and Android from one suite.
We automate end-to-end tests in Appium across iOS and Android, so a critical flow like checkout is verified on both platforms automatically before every release.
How the engagement runs
A QA engagement that builds coverage once, then runs it on every release so quality does not depend on who is free.
We map the flows, risks and device matrix, and write the functional, edge and negative cases that define coverage.
We automate the regression flows with Appium, run functional, compatibility, performance and security passes, and file reproducible bugs.
We run the suite on every release, keep it current with the app, and report pass rate, coverage and severity each cycle.
Reported against pass rate, coverage and bugs by severity, not just hours billed.

Our commitment
QA goes wrong when it is a rubber stamp, when it tests one device, or when you cannot see what was checked. We work against all three.
You own the suite
The test cases and automation are yours, in your repo, with a clean handover. The coverage stays with the app, not us.
Real devices, real numbers
Tested on the device matrix your users carry, with performance measured on low-end phones, not a fast simulator.
A clear pass/fail
A report with reproducible bugs ranked by severity, so you ship knowing exactly what is fixed and what is not.
A senior QA lead, named
A senior QA engineer who owns your test plan, with one accountable lead, not a rotating bench.
The test suite is yours: cases, automation and all.
FAQ · 07 questions
The first audit is free and produces a written, scoped estimate. No retainer pitch on the call.
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Product apps engineered from MVP to enterprise scale.
Accepting new clients · 2026
Send us your app and the flows that matter most. We test on a real mid-range Android matrix and send you a bug report with steps to reproduce, before you push to the store.
What happens next
Tell us what to test.