JustPlay – Gimica Games

Client Overview

Game Intro
Gimica Games is JustPlay’s game studio, operating in a mobile environment with a strong reliance on stable monetization systems and third-party SDK integrations. Frequent updates, continuous A/B testing, and a complex ecosystem of integrations require a structured and business-oriented QA approach.
Business Requirements
The client required a strategic QA partner to go beyond simple bug detection and directly impact key business metrics: monetization stability, release speed, and product decision efficiency.
The client’s challenges included:
- Eliminating revenue loss caused by failures in ads and in-app purchases.
- Maintaining stability during high-frequency update cycles.
- De-risking third-party SDK integrations and updates.
- Ensuring data integrity for A/B testing and product decisions.
- Building an autonomous QA function requiring minimal supervision.
Tested on
- Android
- iOS

4 Full-time QA Specialists (Scaling up to 10 during release periods)

To address these challenges, the team implemented a multi-layered QA strategy:

Revenue-Focused Testing
Prioritization of revenue-critical scenarios: ads, IAP, and cross-app mechanics.
SDK Expertise
Deep involvement in SDK validation to reduce critical post-release issues.
Scalable Team
Flexible scaling during peak periods to maintain quality without slowing time-to-market.
A/B Testing Validation
Verification of user distribution, build logic, and data reliability.
Full Regression
Systematic coverage to prevent feature degradation during frequent releases.
Autonomous Process
A proactive, independent QA workflow that reacts quickly to changes.

The implementation of this structured QA approach led to measurable improvements:

Revenue Growth & Protection
Minimized losses by ensuring 24/7 stability of ad SDKs and payment systems.
Reduced Critical Issues
Significant decrease in blocking and revenue-impacting bugs in production.
Faster Time-to-Market
Optimized workflows allowed for faster releases without compromising quality.
Reliable Product Decisions
Accurate A/B testing data directly improved LTV, ARPU, and retention.
Internal Team Efficiency
The autonomous QA function allowed the client’s internal team to focus solely on development and growth.
Predictable Quality
QA evolved into a business-critical function, ensuring consistency across every release.