How Previous Experience with Maestro Helped Us Choose the Right Mobile Testing Strategy

At Techery projects often move fast. Releases happen frequently, priorities can change quickly, and QA teams need to adapt without slowing delivery. In this kind of environment, choosing the right testing approach is just as important as writing the tests themselves.

That decision did not come from theory or trend-following. It came from our previous experience on another Techery project where we had almost no testing infrastructure. No stable regression process, no mobile automation layer, and no quick way to validate that the most important flows still worked after changes.

Learning from Real Challenges

When most checks are manual, every release starts to feel familiar in the wrong way.

We had to ask the same questions again and again:

• What should be checked first?
• How much can we realistically verify before release?
• What could break silently?
• Are we missing something important because of time pressure?

As the product grew, these questions became harder to answer. New screens, more logic, additional user journeys — but the time before release stayed the same.

That was the moment when I clearly understood: automation is valuable not because it sounds modern, but because it removes repeated delivery pain.

Why We Chose Maestro

When we started evaluating options for the next Techery project, we were looking for something practical.

We also experimented with Detox, which is a powerful tool, but in our case it felt more code-heavy and required deeper engineering involvement than we needed at that stage.

We did not need the most complicated framework. We needed something the team could start using quickly and benefit from early

We chose Maestro because:

• it was quick to introduce and start using
• QA engineers could work with it directly
• test flows were readable and easier to maintain
• it allowed fast smoke coverage for critical scenarios
• automation could grow step by step with the product
• it fit well into our existing testing strategy

For fast-moving Techery projects, this kind of practical and efficient approach matters a lot.

How We Used It in Practice

We did not try to automate everything.

We started with the flows that create the most release stress when they break:

• app launch
• login
• navigation to key screens
• critical user flows

This gave us value quickly.

Instead of repeating the same manual smoke checks before every release, we could run automated validation for the most important journeys and focus manual testing on new features, edge cases, and risky areas.

That small shift changed the daily workflow more than expected.

What Changed After That

The biggest result was not “we now have automation.” The real result was how the work itself changed.

Faster Regression Cycles

Critical smoke scenarios that previously required repeated manual attention could now be validated much faster.

In practice, this meant that checks which previously required dedicated manual time before each release could now be validated in minutes. This reduced pre-release pressure, gave us faster feedback after changes, and made frequent delivery cycles easier to support.

On one of the previous Techery projects without automation, similar smoke validation could take a noticeable part of release time and still leave uncertainty. With Maestro, we could run the same critical checks faster and with more consistency, leaving more time before release for actual decision-making instead of repetitive validation.

Same Team, More Delivery Capacity

As release activity increased, the amount of validation work naturally increased too.

Automation helped us keep up with that pace without needing additional QA capacity every time delivery volume grew. The same team could support more changes and more releases.

Lower Long-Term Maintenance Cost

Another positive surprise was sustainability.

Because the flows were readable and straightforward, updates stayed manageable as the product evolved. We spent less time maintaining the framework itself and more time testing actual product risks.

What We Want to Explore Next

The next area I would like to explore is Maestro’s visual regression capabilities.

Sometimes functionality works, but the UI is still broken. A hidden button, shifted layout, broken spacing, or misplaced element can still damage the user experience.

Visual regression testing looks like a strong next step for improving UI confidence in future Techery mobile projects.

Conclusion

Looking back, the most useful lesson was simple: the right tool is not the one with the biggest feature list. It is the one that solves real problems for the team using it.

For us, Maestro became valuable because it reduced repetitive release pressure, helped the same team support faster delivery, and stayed practical as the product kept growing.

That is the kind of automation decision worth repeating.