Suites break after every UI redesign
Release blockers trace to XPath updates, not actual product defects.
For QA teams
Record critical browser journeys, maintain them visually, run them in the cloud, and bring step-level evidence to every release decision.
You own regression quality-and need automation that keeps up with the product team.
Release blockers trace to XPath updates, not actual product defects.
Investigating red CI builds steals hours from exploratory testing and release prep.
Framework boilerplate delays contributors who already know the product well.
Release reviews need a trustworthy pass/fail summary-not a folder of screenshots.
Start with high-signal journeys, then expand coverage as the product grows.
Verify the app loads and primary navigation works after each deploy.
Cover checkout, account settings, or admin flows before release review.
Run the same suite across browsers without maintaining separate scripts.
Give new hires readable flows they can extend without learning a coding stack.
Yes. QA teams can record flows in the browser, refine steps visually, and organize cases and suites without maintaining a separate automation repository.
Auto-Heal can recover changed locators during execution, while visual editing lets QA update flows whose behavior has genuinely changed.
Yes. Cases can be grouped into suites and plans that reflect different release gates, products, or ownership areas.
Execution history records pass or fail status at the step level with supporting logs and screenshots for investigation and sign-off.
No. QAlity cloud execution runs browser suites without requiring the QA team to operate its own grid or local agents.
Record your top smoke flow, run it in the cloud, and watch Auto-Heal recover from a selector change-before your next release review.