The Best QA Teams Don't Just Protect Revenue. They Grow It.

Most teams think of QA as a cost centre.

Its job is to prevent bugs, reduce incidents, and stop bad releases from reaching customers.

But what if QA could do more than protect revenue?

What if it could help generate it?

For decades, QA has been measured by one question:

"Does the feature work?"

But as products become more competitive, I don't think that's enough anymore.

Imagine a new onboarding flow that works exactly as designed. Every button responds correctly, every API succeeds, and every automated test passes.

Yet users still abandon the journey halfway through.

Technically, nothing is broken.

Commercially, everything is.

While building Talotrace, we realised that the same AI capable of understanding a product well enough to identify bugs can also understand how users experience that product. Once AI understands the intended user journey, it can begin asking questions that traditional QA tools were never designed to answer:

• Why are users abandoning this journey?

• Where are we losing potential revenue?

• How does our onboarding compare to competitors?

• Which parts of the experience create unnecessary friction?

• What opportunities could improve activation, retention, or monetisation?

That's the thinking behind Revenue Intelligence.

To us, product quality isn't just about preventing failures. It's about ensuring every release delivers the business outcome it was designed to achieve. Functional correctness is the baseline. True product confidence comes from knowing your product is working for your users and for your business.

Should QA be measured by the bugs it finds, or the business outcomes it improves?

If a feature works exactly as designed but users still abandon it, has QA really done its job?