Testlio blog

You’ve translated the app and maybe even hired native speakers. It passes all your internal checks, but users in new markets are still dropping. The problem often isn’t obvious.

Delivering analytics quality at a global scale is never easy. One broken event or missed signal can derail product launches, fuel bad decisions, and shatter customer trust overnight.

As organizations increasingly rely on AI to power their products and services, addressing bias is now a critical responsibility for quality and engineering leaders.

With constant releases, testing on multiple devices, and users scattered across the globe, internal teams alone can fall short. To address these issues, companies are increasingly resorting to crowdsourced testing.

Dean Hickman-Smith’s appointment signals Testlio’s commitment to scaling leadership, accelerating partnerships, and enterprise adoption of AI-enabled crowdsourced testing.

With the EU AI Act now in force, compliance is no longer about aspirational ethics or last-minute checklists, it’s about operationalizing quality assurance at every stage of your AI lifecycle.

If you are building or scaling digital products, chances are your QA process already includes gig testers. You post a task, someone across the globe picks it up, files a bug, and moves on. 

Outsourcing quality assurance (QA) used to be about saving money. In 2025, you will have to build resilience into the release pipeline.

The goal of any mobile product is to create an app experience that’s innovative and new. But you must accomplish specific, necessary steps between crafting a clear vision for your…