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SQA2 Qualitics:

From Bottleneck to Breakthrough: Reviving QA Automation in a Global Ticketing Platform


ISSUE:
A global ticketing provider was struggling with a stagnant QA automation effort. The automation pipeline was outdated, inflexible, and misaligned with evolving development practices—resulting in slow releases, redundant manual testing, and reduced confidence in coverage.


BACKGROUND:

  • The automation suite had become bloated and hard to maintain, relying on outdated tools and approaches.
  • QA automation coverage was shallow, focusing on narrow test cases rather than mission-critical flows.
  • Developers had limited visibility into automated results, reducing shared ownership of quality.
  • CI/CD integration was fragmented, preventing automation from accelerating the development pipeline.

KEY SIGNALS:

  • Flaky, slow-running tests delayed releases and introduced instability into CI pipelines.
  • QA teams spent excessive time manually validating areas that automation should have covered.
  • Business stakeholders lacked confidence in test reliability, resulting in redundant oversight and release hesitancy.
  • Developers disengaged from QA feedback due to poor test clarity and feedback delays.

STRATEGIC IMPACT:

  • Reduced speed-to-market: Inefficient QA automation slowed feature delivery.
  • Eroded cross-team trust: Developers viewed automation as a QA-owned burden rather than a shared asset.
  • Wasted effort: Time and budget were drained by maintaining brittle scripts that failed to deliver value.
  • Innovation drag: Teams avoided risk due to uncertainty in regression coverage and testing gaps.

RECOMMENDATIONS:

  1. Rebuild automation from the ground up—prioritize high-impact workflows, and remove legacy test bloat.
  2. Standardize on a modern automation framework (e.g., Cypress, Playwright, or updated Selenium) that fits the team’s tech stack and provides better reporting and debugging.
  3. Integrate automation fully into CI/CD pipelines, triggering feedback on every commit or PR.
  4. Implement a QA/Dev collaboration model—where developers co-own tests and leverage automated feedback during development.
  5. Establish dashboards and analytics to measure automation ROI and identify flakiness or redundancy in test coverage.

EXPECTED OUTCOMES:

  • Streamlined releases with automation embedded directly into the development lifecycle.
  • Elevated test reliability and visibility, reducing time spent on manual regression.
  • Improved team alignment and shared ownership of quality.
  • Long-term reduction in testing costs and increased confidence to deploy at speed.
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