Case Study – QA Process Setup for ABC Gruppen
Building a QA System That Supports Growth Without Slowing Releases
As ABC Gruppen’s product evolved, releases became more frequent.
At the same time, maintaining quality was becoming increasingly difficult.
The team wasn’t broken — but the system behind testing was missing.
They didn’t need more testing. They needed structure.
Overview
ABC Gruppen operates an advanced e-commerce platform that includes a custom 3D product configuration experience and internal administrative tools.
As new features were introduced and release cycles accelerated, maintaining consistent quality became more challenging.
Testing existed, but it was largely reactive and dependent on sprint scope rather than full product coverage.
This created uncertainty around release readiness and increased regression risk.
The Problem
Testing depended mainly on what was currently being developed.
Regression testing was time-consuming and inconsistent.
There was limited visibility into what had actually been tested.
Previously fixed bugs were reappearing due to the lack of structured prevention.
At the same time, slowing releases was not an option for the business.
The Goal
The objective was clear.
Make releases predictable.
Reduce regression risk.
Build a QA process that could scale alongside product growth.
What We Did
We focused on introducing structure across the entire QA lifecycle.
This included test management, regression coverage, automation strategy, reporting, and release validation processes.
The goal was not just to test more — but to test smarter.
Key Improvements Implemented
Test management and traceability were introduced using X-Ray integrated with Jira.
Every user story became linked to test coverage, and sprint-based test plans were established.
Regression coverage was expanded across key product flows, including historical coverage.
Each bug was converted into a reusable test case to prevent future recurrence.
Targeted automation was introduced with smoke tests running on production environments.
Automation and Reporting
Automation focused on stability and real value.
A shared framework was implemented for both web and mobile platforms using Java, JUnit, and Maven.
Test execution was managed through Jenkins and Selenoid.
Reporting visibility improved significantly through Allure dashboards, enabling better communication with stakeholders.
Defining a Repeatable QA Process
Structured test planning became part of each sprint.
Regression cycles were defined and scheduled.
Release validation criteria were clearly documented.
The QA process became predictable and scalable.
Results
Regression testing became more predictable.
Fewer issues reached production.
Releases became more stable.
QA stopped being perceived as a delivery blocker.
Client Feedback
“Tech Tailors' team, reliability, dedication, and professionalism impressed us.”
Before vs After
Before: Reactive testing, unclear coverage, repeated bugs, slow regression cycles, uncertain releases.
After: Structured QA process, full visibility into testing, bug prevention, automation support, clear release readiness.
Conclusion
ABC Gruppen didn’t need more testing.
They needed structure.
Once the QA system was properly defined, quality became predictable and releases became easier to manage.
One Key Takeaway
Scaling products require scalable QA processes.
When structure replaces reactive testing, teams gain confidence, stability, and speed.
Let’s talk.
- Focus: QA system setup & regression stabilization
- Outcome: Predictable releases and reduced production issues
