In digital product development, change is more the rule than the exception. Requirements evolve alongside a deeper understanding of the market, user behavior, and the product itself. What initially appears to be the right solution may require adjustments after the first tests or real-world usage. This is exactly why agile approaches are becoming increasingly common in modern development.

Agile development does not assume that everything can be precisely planned in advance. Instead, it works with the reality that product understanding develops gradually. It is a way of working that allows teams to respond to change without losing direction, quality, or control over costs.

App redesign is a topic many companies postpone longer than they should. Often because the product still works, users are familiar with it, and the team feels that a major change could disrupt stability. The problem is that design does not age overnight. It wears down gradually – and by the time companies notice the real issue, they are already losing users, conversions, or competitive advantage.

The question is not whether a redesign will happen one day. The question is when the right time is to start addressing it.

One of the most common mistakes in app development is tracking the wrong metrics. Companies invest time and money into dashboards full of numbers that may look good but do not help them make better decisions. This problem becomes even more serious when the same metrics are used for both B2B and B2C products.

Although they may look similar from a technical perspective, B2B and B2C applications operate on completely different principles. They have different buying cycles, different user behavior, and different definitions of success. And that difference should be reflected in what we measure during development.

E-commerce applications have one major advantage and disadvantage at the same time: everything can be measured precisely. Every click, every cart abandonment, every moment of hesitation during checkout. Despite this, many e-commerce apps lose revenue not because of price or product quality, but because of user experience. Users do not leave because they do not want to buy. They leave because the purchasing process is unnecessarily complicated, unclear, or frustrating.

At the beginning of product development, testing is often seen as something that can be “added later.” The pressure to move fast, deliver an MVP, and launch quickly pushes tests to the side. In the short term, this may seem like the right decision. The product goes live faster, costs are lower, and the team feels productive. In the long run, however, this is one of the most common reasons products slow down, become expensive to maintain, and lose their ability to scale.

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.