Automated tests, continuously
Their value is not catching the bug you are looking for - it is catching the unrelated thing you broke while fixing it. A product without them becomes progressively more expensive to improve, which is the real cost.
App development and testing: how quality is actually enforced
Every provider says their work is tested. The question worth asking is what it is tested against, because testing against a specification and testing against reality produce very different products.
- ✓Dedicated QA throughout, not a phase bolted on at the end
- ✓Real devices, poor connectivity, interrupted sessions
- ✓Automated regression tests, so improving the product stays affordable
- ✓98% first-time app store approval across 100+ submissions
98%First-time app store approval
100+App store submissions
100%In-house team, never subcontracted
99.99%Platform uptime
Testing against the scope is not testing against reality
The default in fixed-scope delivery is to verify that the software matches the document. That catches the obvious failures and misses the expensive ones, because the document describes the intended path.
Real users take unintended ones. They lose signal mid-transaction, background the app, rotate the device, arrive with an expired session, or enter data nobody thought to prohibit. The difference shows up after launch rather than before it, which is why it is entirely possible to sell a product as thoroughly tested and still have it fail in week one.
What gets tested, and when
Four layers, running throughout the build rather than at the end of it.
Dedicated QA, throughout
Not the developer checking their own work, because the person who built something shares the assumptions that produced the defect. Testing that begins after development finishes only discovers problems when they are most expensive to fix.
Real devices, real conditions
Older hardware, poor connectivity, interrupted sessions. Simulators do not reproduce the situations in which apps actually fail, and those situations are the norm rather than the exception.
Designed in, not retrofitted
Authentication, data handling and permissions are settled during Scoping and Design rather than revisited late. Reworking those foundations after a product is live tends to mean rebuilding rather than patching, and it arrives at the worst possible moment.
Release discipline matters as much as testing
A tested build still has to reach users safely. That means a repeatable release process, the ability to roll back quickly, and monitoring that tells you something is wrong before a customer does.
The most useful question to put to a provider is not whether they test, but what happens when something gets through anyway - because eventually something does. A team with monitoring, a rollback path and a defined severity process treats it as a Tuesday. A team without them treats it as a crisis, and you become part of the crisis.
PixelForce holds a 98% first-time app store approval rate across 100+ submissions, which is a reasonable proxy for release discipline: it measures whether the build was genuinely ready when it was submitted.
Who actually writes your code
Development, QA and release are delivered by a 100% in-house team - our own employees, the same people from first call to launch. Work is never handed to a third-party shop or a rotating cast you did not choose.
That matters here specifically, because quality depends on continuity of context. A tester who has been in the room since discovery knows which paths are risky. One who joined last week is testing the document. Platform-specific detail lives on the service pages: Android app development and iOS app development.
Want to know how your current build would hold up? We will tell you what we find.
Book a discovery callOne conversation.
Three phases.
Built to grow.
The same canonical PixelForce engagement model behind 100+ shipped products and $1.5B+ in combined client revenue, applied to your app. The 1-3-1 method runs through every conversation - one problem, three options with honest trade-offs across budget, timeline and scope, one recommendation. No Blueprint, no Build.
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0Free
Discovery call
A free, no-obligation conversation to find the right path for your app before you commit a dollar.
- Mutual NDA signed up front
- 1-3-1 method: one problem, three options, one recommendation
- Honest trade-offs across budget, timeline and scope
- A straight answer on what a credible build looks like
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14-8 weeks
Scoping & Design
Everything you need to build with total confidence - a fully costed, designed plan with no scope surprises.
- Strategic workshops and BRD
- Full UX/UI design system, every screen built
- PRD and a fixed-cost Statement of Work
- No Blueprint, no Build - Phase 1 before any Phase 2 quote
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23-6 months
Development, QA and Release
From approved designs to your live app, built and tested at a steady sprint cadence.
- Sprint cadence with regular demos
- QA across iOS, Android and the edge cases
- End-to-end App Store and Google Play submission
- Built to scale from 1,000 to 1,000,000 users
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3Ongoing
Post Launch Support
We do not disappear at launch - monitoring, warranty, and an optional retainer keep your app growing.
- 24/7 monitoring and a critical-defect warranty
- Ongoing technical support
- Optional Product Retainer: four-week sprints and quarterly reviews
- The model that grew SWEAT to a $400M platform
Frequently asked questions
The questions buyers and search engines ask most about this stage.
Development builds the intended behaviour; testing establishes what actually happens, including in situations nobody specified. Treating them as sequential phases is the common mistake - testing that starts after development finishes discovers problems at the point they are most expensive to fix. Run together, QA shapes the build as it happens rather than reporting on it afterwards.
Automated tests to make future change safe, functional testing against real user journeys rather than only the specification, testing on real devices under poor connectivity and on older hardware, security testing of authentication and data handling, and performance testing under realistic load. The one most often skipped is real-device testing under bad conditions, and it is the one that most reliably predicts how an app behaves in the field.
Developers test their own work, but that is not sufficient on its own, because the person who built something shares the assumptions that produced the defect. Dedicated QA exists to approach the product without those assumptions. At PixelForce, QA is a distinct discipline within a 100% in-house team, working alongside development throughout rather than as a phase at the end.
Eventually one will, and the meaningful difference between providers is what happens next rather than whether it happens at all. What matters is monitoring that surfaces the problem before a customer reports it, a rollback path that can be used quickly, and a defined severity process so a critical defect is not queued behind feature work. PixelForce clients on a Warranty, Monitoring and Support retainer get 24/7 platform monitoring, resolution of critical defects, and a monthly Platform Health Report.
Framed as an add-on it always looks like a delay, which is why it is worth framing correctly: testing does not extend a project so much as move the discovery of defects earlier, where they are cheap. The genuine schedule risk after launch is not the testing time you spent, it is the rework you did not. Integrations and app store review are more common causes of timeline slippage than QA itself.
Typically three to six months for a full go-to-market build, at a cost that usually falls between $100,000 and $350,000 depending on scope. Because the scope was fixed against a completed blueprint in Phase 1, that range is a price rather than a moving estimate, and re-prioritising within the agreed outcome does not change it.
Where this sits in the journey
The step before and the step after, or the full picture on our process.
Tested against reality, not against the document.
No obligation, and no scope you cannot afford. You leave the first call with one recommendation and the reasoning behind it - even when that recommendation is not us.