Afsala
Quality Assurance Manager
There's a conversation that happens on almost every software project at some point. The deadline is close, the budget is tight, and someone suggests trimming the testing phase to make up the difference. It feels like a reasonable trade-off in the moment — the developers have been working on this for months, they know the code, surely it's fine.
It is rarely fine.
QA testing is the single most commonly skipped or underscoped phase in app and software development. It is also, consistently, the decision that ends up costing businesses the most — in direct remediation costs, in user trust, in App Store ratings, and sometimes in customers who leave and don't come back.
Here's an honest look at why this keeps happening, what the real consequences are, and what proper QA actually looks like when it's done right.
Why QA Gets Cut
The reasons are understandable even when the decision is wrong. Testing doesn't produce visible output the way development does. There's no new feature to point to, no screen to show a stakeholder. It can feel like time spent not building — and when timelines are compressed, that's the first thing to go.
There's also a confidence problem. Developers are close to the code. They've tested their own work as they've built it, they know how the app is supposed to behave, and it works on their machine. The assumption that this translates to working correctly for every user on every device in every real-world condition is where things start to go wrong.
And then there's the budget conversation. QA adds cost to a project. When someone is trying to bring a quote down, removing or reducing the testing phase is an easy number to cut. What doesn't appear in that calculation is the cost of fixing bugs after launch — which is significantly higher than finding and fixing them before it.
What Actually Happens When You Ship Without Proper Testing
The consequences of inadequate QA play out in predictable ways, and none of them are cheap.
Bugs in production are expensive to fix. A bug found during development costs a fraction of what it costs to fix after launch. Once a bug is live, you're dealing with emergency developer time, a hotfix deployment, potential App Store review delays, and the operational disruption of managing a broken product while users are actively trying to use it.
App Store ratings take the hit immediately. Users who encounter bugs leave reviews. A one-star review that says "app crashes every time I try to check out" does lasting damage to your conversion rate from the store page — damage that takes months of positive reviews to recover from. You can't unpublish a bad review.
User trust is hard to rebuild. First impressions in software are permanent in a way that's easy to underestimate. A user who hits a critical bug in their first session rarely gives the app a second chance. In a market like the UAE where competition for user attention is fierce, that lost user is gone.
Security vulnerabilities become your liability. Untested code is more likely to carry security flaws. In an environment of increasing data protection awareness and regulation, a breach or data leak resulting from an undetected vulnerability carries consequences far beyond the technical — legal exposure, reputational damage, and loss of customer confidence that's extremely difficult to recover.
What Proper QA Actually Covers
Good QA is not one person clicking through an app the day before launch. It's a structured process that runs in parallel with development and covers several distinct types of testing.
Functional testing verifies that every feature works as specified. Every button, every form, every workflow, every edge case. This is the baseline — if the app doesn't do what it's supposed to do, nothing else matters.
Regression testing ensures that new code hasn't broken something that was previously working. As apps grow and change, this becomes increasingly critical. Automated regression suites run on every code push, catching breakages instantly rather than discovering them manually days later.
Cross-device and cross-platform testing confirms that the app works correctly across the range of real devices and OS versions your users will actually have. An app that works perfectly on the latest iPhone may behave differently on a mid-range Android running a two-year-old OS version — and in markets like the UAE and wider Middle East, device fragmentation is a real consideration.
Performance testing puts the app under load to identify how it behaves under real-world usage conditions. Where do response times degrade? At what point does the backend struggle? What happens when a hundred users try to do the same thing simultaneously? These questions need answers before launch, not after.
User acceptance testing (UAT) involves real users — or representatives of your target audience — interacting with the app in a controlled environment before go-live. This catches usability issues and workflow gaps that technical testing alone won't surface.
Security testing checks for common vulnerabilities — authentication weaknesses, insecure data storage, unprotected API endpoints, injection risks. For any app handling user data or payments, this is non-negotiable.
The Case for Test Automation
Manual testing is valuable and necessary — but it doesn't scale. As your application grows, manually re-testing every feature after every code change becomes impractical. This is where automated testing earns its place.
A well-built automated test suite runs in minutes, covers hundreds of scenarios, and gives your development team immediate feedback on whether a change has caused a regression somewhere in the system. The upfront investment in building that suite pays back quickly — both in time saved on manual testing and in bugs caught before they reach users.
The best development workflows integrate automated testing directly into the CI/CD pipeline, so every code push triggers a full test run automatically. If something breaks, the team knows immediately — not days later when a tester gets to it.
How to Think About QA Budget
A reasonable benchmark for QA investment is roughly 20–25% of your total development budget. This often surprises people, but it reflects the actual scope of work involved in testing a non-trivial application properly.
When you're evaluating proposals from development agencies or teams, look at how QA is scoped. If testing is a vague line item at the bottom of a quote with a small number next to it, ask specifically what it covers. What types of testing are included? How many test cases will be written? Will there be automated regression coverage? What devices will be tested on?
The answers will tell you a lot about how seriously the team takes quality — and how likely you are to have a smooth launch.
The Right Mindset Shift
The most productive way to think about QA is not as a cost — it's as insurance. You're paying a known, manageable amount upfront to avoid an unknown, potentially much larger cost later. The businesses that treat QA as an integral part of their development process, rather than a phase to be compressed or skipped when things get tight, consistently ship better products, retain more users, and spend less money fixing problems in production.
Software that works is not an accident. It's the result of a deliberate, structured process of building and verifying — in equal measure. The testing phase is not where development ends. It's where confidence begins.
Shipping without confidence is a risk you don't need to take.
At Joyboy, QA is built into every project we deliver — not bolted on at the end. From automated regression suites to real-device testing, we make sure what ships actually works. Learn about our QA process.
