QA for the company ranking platform

From day one, our QA team was deeply involved in shaping the testing strategy, closely collaborating with development and product teams.

QA challenges

As the platform evolved, we encountered several challenges:

• Complex, multi-step UI flows across modules.
• Time-consuming manual testing.
• Increasing maintenance overhead on test cases.
• Slower QA feedback loops, impacting sprint velocity.

Our approach

Our QA engineers built a robust and scalable testing process focused on:

• Early involvement in development cycles.
• Manual testing for high-risk features.
• Structured defect reporting and documentation.

However, as the SuperbCompanies platform scaled, we recognized that the purely manual approach wasn’t efficient enough. To free up time for strategic QA activities and streamline repetitive tasks, we decided to adopt OwlityAI as a supporting codeless tool within our QA stack.

Integrating OwlityAI

After evaluating several solutions, we onboarded OwlityAI, an AI-powered platform capable of autonomous UI testing, without requiring access to source code.

What our QA team did:

• Audited existing test coverage to identify areas ideal for AI automation.
• Configured test flows and validated OwlityAI’s scenario generation.
• Monitored and validated AI-generated results, ensuring accuracy and alignment with real user behavior.

Key OwlityAI features we leveraged

• AI-generated test cases

Automated coverage for core workflows like profile creation, review management, events, sponsorships, and rating logic.

• Code-free UI testing

OwlityAI operated entirely through the UI, requiring no backend or source code access, which reduced security risks and integration friction.

• Jira & Confluence integration

Automated bug reporting to Jira with screenshots, logs, and video. OwlityAI also generated documentation and execution reports directly in Confluence.