Mobile Automation Testing Services That Stop Bad Releases

Our mobile automation testing services combine real device testing, automated testing, and functional testing across iOS and Android devices to protect mobile apps in real-world usage.

Ship mobile updates without crashes, hotfixes, or angry store reviews.

Regression cycles drop from hours to minutes per release.
Crash rates fall below 1% on every new release.
Hotfixes stop stealing sprint capacity after launch.

No more panic releases. No more guessing. Just clear signals before every launch.

Why Mobile Automation Testing Breaks in Reality

TOOLS

Most teams use the right tools but still get the wrong testing results

Teams do not fail because they chose the wrong testing tool. They fail because their setup does not match how people really use mobile apps. Phones are messy. People move. Networks drop. Batteries die. But most test setups live in clean labs that never show these problems.

REAL DEVICES

Emulators do not behave like real phones

Real users interact with mobile devices across different OS versions, hardware limits, and network conditions that emulators and clean labs cannot replicate. An emulator sits on a powerful computer with a strong connection. Real users do not live in that world. They lose signal in elevators. They open apps with a low battery. Tests pass in the lab, but crash in real life. One bad release like this can erase months of hard-earned ratings.

DESIGN CHANGES

Small design changes break big parts of the test suite

Design teams update buttons and labels every sprint. Automation does not keep up. A tiny change can break many tests. When that happens too often, engineers stop paying attention. They skip failures. That is when bugs reach users and turn into angry reviews.

LONG TEST

Long tests hide real problems

Many teams write one big test to cover everything from login to checkout. It looks smart at first. But when that test fails, nobody knows why. Debugging takes hours. Over time, the test suite becomes noise instead of help. Regression runs that should take minutes stretch into hours.

MAINTENANCE

No one cleans up broken tests

Flaky tests appear slowly. One today. Two tomorrow. Soon, every run feels untrustworthy. When the team no longer believes green means safe, they release based on hope instead of facts.

These problems do not go away with more tools. They go away when someone takes ownership and builds a system that matches real life.

What Actually Improves After Working With ThinkSys

Most teams think automation is working if a lot of tests run. But that's not what really matters. What matters is how many bugs it catches, how much time it saves, and how many problems it prevents after you go live. That's the difference we bring, and you'll see it in the numbers that actually matter to your business.

Metric	Before	After
Regression time	3–4 hours per release	20–40 minutes
Crash rate	8–12% on new builds	Under 1%
Hotfixes	2–3 per month	Rare or none
Store rating	3.4–3.8 average	4.4+ and rising

Faster regression testing means faster releases.

Before, testing before a release could take hours, which delayed features and added stress. We cut that time down to under an hour. That means teams can ship on time and spend less time waiting on test results.

No hotfixes means no panic.

When releases go wrong, teams rush to fix bugs after launch, usually late at night or over the weekend. We help you avoid that. With stable automation, you catch the problems early and fix them before they reach users.

Fewer crashes mean happier users.

Crashes cause users to delete your app and leave bad reviews. We lower crash rates to under 1% so customers stay, and support teams get fewer complaints.

Higher ratings mean faster growth.

When your app works well, people leave better reviews. Better reviews mean more downloads, and that means more revenue without more ad spend.

This is what good automation does: It keeps you calm. It keeps users happy.

Our Mobile Automation Testing Tools Stack

Our mobile test automation strategy balances automated testing with targeted manual testing to achieve reliable test coverage across mobile applications and mobile web experiences.

1. We use the right tools so your app works outside the lab.

Many companies start by listing logos. We start by asking one question. Will this setup still work after your next update? Tools only help when they match how your app changes over time.

1. We use the right tools so your app works outside the lab.

Many companies start by listing logos. We start by asking one question. Will this setup still work after your next update? Tools only help when they match how your app changes over time.

2. We use Appium to cover more ground.

Your app must work on many phones and many versions of iOS and Android. Writing the same tests twice wastes time and money. Appium lets us test both platforms with one shared flow. This means your main user paths get wide coverage without doubling the work.

3. We use XCUITest and Espresso when speed matters.

Some parts of your app need faster and deeper testing. Animations, system pop-ups, and device features behave differently on each platform. Native tools like XCUITest for iOS and Espresso for Android run closer to the phone. That makes tests run faster and fail less often.

4. We use real devices to find real bugs.

Emulators are fine at the start. They are not enough before launch. Real users have old phones, weak networks, and low battery. We use real device testing across OS versions and device types to uncover app performance and stability issues before users experience them.

5. We connect everything to your build process.

Good automation stops bad code and lets good code pass. We plug your tests into your pipeline so failures are clear and safe releases move forward.

This is not a list of tools. It is a system that keeps working as your app grows.

Our 6-Step Automation Stabilization Framework

How we turn unreliable tests into a safety net for every release.

Broken automation does not need more tools. It needs a clear way of working. We follow six simple steps that bring order back to your test suite and make releases feel safe again.

Step 1. We focus on what users break first.

We start by looking at how real users get stuck. We read crash reports, support messages, and app store reviews. This shows us which parts of your app cause the most pain when they fail. Instead of testing everything, we protect the flows that matter most to your business.

Step 1. We focus on what users break first.

Step 2: We test on the phones your users actually use.

Not all devices matter equally. We choose phones and operating systems based on real usage data. This keeps the test list short and meaningful. You get better results without running thousands of pointless checks.

Step 3: We break big tests into small ones.

Long tests are hard to trust and harder to fix. We split them into short checks that each test one thing. When something fails, the reason is clear right away. Test runs become faster and easier to understand.

Step 3: We break big tests into small ones.

Step 4: We connect tests to your release pipeline.

Tests should stop bad updates, not slow down good ones. We set clear rules so real problems block a release while unstable tests do not. Over time, your team starts trusting the results again.

Step 5: We actively remove or repair unstable tests every week.

Broken tests are never ignored. Each one is reviewed, fixed, or removed. This keeps the suite healthy and reliable sprint after sprint.

Step 5: We actively remove or repair unstable tests every week.

Broken tests are never ignored. Each one is reviewed, fixed, or removed. This keeps the suite healthy and reliable sprint after sprint.

Step 6: We track numbers leaders care about.

We measure how long testing takes, how often apps crash, and what slips into production. These numbers show real progress, not busy work.

This is not a one-time setup. It is an ongoing habit that turns automation into protection instead of overhead.

Deliverable: A CI-integrated mobile automation suite with clear release readiness signals and ongoing stability ownership.

Here's How It Worked For Our Clients

These stories come from real projects, but the names are hidden. What matters is the pattern. Each team believed their automation was working until users proved them wrong.

The login crash no one expected

One app released a new welcome screen, and all tests passed. Two hours later, users with older Android phones could not log in. The animation worked in the lab, but real phones with low memory could not handle it. We added login checks on real devices and split the long test into small parts. After that change, login errors almost disappeared in the next release.

PAYMENT

The payment failure that stayed hidden

Another app broke only when people switched from Wi-Fi to mobile data while paying. The team did not test that move, so they learned about the bug through angry bank calls. We added network-change checks and made them run in every build. After that, payments stayed stable across six straight releases.

LOCATION

The location bug that drove users away

A ride app updated its map tool. Everything looked fine until people left the app and came back. Location stopped working and users blamed the app. We added tests for moving the app to the background and back again on real phones. The next update cut session drop-offs by a large margin.

Automation does not fail because teams are careless. It fails because the worst bugs hide in places no one looks. We make those places visible before users ever see them.

Why Teams Move to ThinkSys for Mobile Test Automation

Designed for mobile test automation across iOS and Android devicesBecause fixing automation feels better than replacing it.

Most Mobile Automation Services

Focus on how many tests they run.
Treat flaky tests as normal.
Test mostly on emulators.
Report pass or fail.
Step in only when something breaks.

Working With ThinkSys

Focus on how safe your releases feel.
Remove flaky tests every sprint.
Test critical flows on real phones.
Show crash risk and release readiness.
Prevent problems before users see them.

The problem with most services

Many vendors promise wide coverage. What they really give you is a growing list of scripts. These scripts run, but they do not protect your users. When bugs slip into production, teams are told to rerun tests or add more cases. Over time, trust fades, and every release becomes stressful again.

What changes when you work with us

We care less about the number of tests and more about what never reaches your customers. When crashes fall, refunds slow down, and store reviews improve, your automation finally has meaning. Your design team can move faster because tests are built around real actions, not fragile screens that break with every update.

We also connect your automation to your release flow. That means broken builds stop early, before users ever notice. Instead of chasing reports, you see clear numbers each week that show how safe the next release really is.

How does this feel for your team

Engineers stop rerunning builds just to feel safe. Product managers stop delaying launches because they fear hidden bugs. Leaders stop asking why ratings fell again. Releases become calm and predictable, and that calm tells you the system is working.

Frequently Asked Questions

Good automation never slows you down. Bad automation does. When tests are small and reliable, they run early in your pipeline and catch problems before they grow. That means your team fixes bugs while the code is still fresh in their mind, not days later. Most teams start seeing faster regression cycles within the first month.

That is normal in modern teams. Your automation should handle it. We build tests around what users do, not what buttons are called. When screens change, your tests keep working instead of falling apart. This keeps your test suite useful even when design moves fast.

We use both, but we trust real phones. Emulators are useful early. Real devices show the truth. We always run critical paths on real hardware, so the bugs appear before your users ever see them.

Your pipeline should only stop for real problems. We flag unstable tests and keep them from blocking builds. When a real failure appears, the release stops for the right reason. This way, your team trusts failures instead of ignoring them.

We use both, but we trust real phones. Emulators are useful early. Real devices show the truth. We always run critical paths on real hardware, so the bugs appear before your users ever see them.

You will start noticing changes in the first 30 days. Test runs get shorter. Failures become clear. Teams stop guessing and start trusting their releases again.

No. It is for any team that feels one bad release could hurt their reputation. If your app matters to your business, this matters to you.

Mobile Automation Testing Services That Stop Bad Releases

Why Mobile Automation Testing Breaks in Reality

Most teams use the right tools but still get the wrong testing results

Emulators do not behave like real phones

Small design changes break big parts of the test suite

Long tests hide real problems

No one cleans up broken tests

What Actually Improves After Working With ThinkSys

Faster regression testing means faster releases.

No hotfixes means no panic.

Fewer crashes mean happier users.

Higher ratings mean faster growth.

Our Mobile Automation Testing Tools Stack

1. We use the right tools so your app works outside the lab.

1. We use the right tools so your app works outside the lab.

2. We use Appium to cover more ground.

3. We use XCUITest and Espresso when speed matters.

4. We use real devices to find real bugs.

5. We connect everything to your build process.

Our 6-Step Automation Stabilization Framework

Step 1. We focus on what users break first.

Step 1. We focus on what users break first.

Step 2: We test on the phones your users actually use.

Step 3: We break big tests into small ones.

Step 3: We break big tests into small ones.

Step 4: We connect tests to your release pipeline.

Step 5: We actively remove or repair unstable tests every week.

Step 5: We actively remove or repair unstable tests every week.

Step 6: We track numbers leaders care about.

What We Test and Why It Protects Your Revenue

Here's How It Worked For Our Clients

The login crash no one expected

The payment failure that stayed hidden

The location bug that drove users away

How Pricing Really Works

Why Teams Move to ThinkSys for Mobile Test Automation

Most Mobile Automation Services

Working With ThinkSys

The problem with most services

What changes when you work with us

How does this feel for your team

Frequently Asked Questions

Will automation slow down our releases?

What if our UI changes every sprint?

Can you work with our in-house QA team?

What happens if automation blocks a release?

Do you test on real devices or only emulators?

How soon will we see results?

Is this only for large teams?