The first seconds a user spends inside an app are critical. It is not an exaggeration to say that the future success of the product is often decided within this short moment. Data shows that up to 60 percent of users leave during onboarding – and not because the app itself is uninteresting. They leave because the onboarding does not provide clear value, feels confusing, or demands too much from them too early.

A well-designed onboarding flow can do the exact opposite: activate users, motivate them to continue, and establish a solid foundation for long-term retention. To work effectively, onboarding must be based on data, an understanding of human behavior, and the way the brain processes new information.

If there’s one thing that can immediately discourage a user from using an app, it’s slowness.
A one-second delay during loading, stuttering while scrolling, or long waiting times for a screen to open — all of these can determine whether the user stays or closes the app and never returns.

Many clients believe performance is a technical detail. In reality, it’s a competitive advantage.
That’s why we prepared an overview of the most common bottlenecks that slow down mobile apps, along with explanations of how we solve them in practice.

When an application grows, its problems grow with it — unless it’s designed well.
In the early phase, “it somehow works.” Developers add a few features, fix a few bugs, extend a module… and suddenly you have an app where one small update breaks three other screens, and every change takes more time than it should.

The challenge is simple: how do you ensure your app can grow without chaos?
The answer is modular architecture.

Most teams realize the need for analytics only when they start missing it — and by then, it’s often too late.
If your app doesn’t have proper tracking from the start, you’re losing crucial data — and without data, every decision becomes a guess.

There are plenty of tools today — Firebase, Mixpanel, GA4, Amplitude — that can provide deep insights into user behavior, but only if implemented intentionally.
Otherwise, analytics becomes noise — data chaos that confuses rather than helps.

In today’s environment, where technological trends evolve faster than product roadmaps, the traditional approach — “build everything and then test the market” — makes less and less sense. The Minimum Viable Product (MVP) represents a modern, data-driven way to efficiently validate a product idea without wasting time or budget.

Success of an app or software product doesn’t depend solely on the idea or design. A key factor is effective collaboration between the client and the development team. A good team can transform your idea into a functional, scalable, and user-friendly solution—but only if the requirements are clear, communication flows smoothly, and progress is measurable.

Well-structured collaboration minimizes misunderstandings, accelerates development, and often prevents unnecessary costs associated with fixes or rewriting features.

At the beginning, everything seems smooth. Your MVP works, users are joining, and development moves faster than you expected. But suddenly, cracks start to appear — new features take longer to deploy, bugs pile up, and every change in the code triggers unexpected problems elsewhere.
That’s the moment to ask yourself: is it finally time for a refactor?

When people hear MVP (Minimum Viable Product), most startups imagine a quick prototype that “just needs to work somehow.”
That’s the right mindset — except for one thing: if you underestimate your app architecture, you’ll quickly find out that “just working” isn’t enough.

Not all numbers are equally important. Startups and companies often track the wrong metrics at the wrong time – wasting energy where it doesn’t create value. Let’s break down which metrics matter most in MVP, growth, and scaling, so you make decisions based on data, not gut feeling.

Serverless is a buzzword today, promising faster development, lower costs, and effortless scalability. But is it always the right choice for startups? Let’s look at the pros and cons so you can decide whether it makes sense to go serverless from day one.