Quality Engineering
If you already have QA people, this is what the function should become.
Loop's view is that QA should become a smaller, stronger, more technical Quality Engineering function with ownership across automation, infrastructure, observability, environments, and testability changes in product code.
This paper covers the full operating model. The 5-bucket maturity framework, the leverage measurement system, the adoption path from manual validation to engineering leverage, and the organizational design that makes the transition work.
What's inside
- The AI-Native QE operating model and why it replaces traditional QA
- The 5-bucket maturity framework. Where most teams are and where they need to go
- Leverage measurement: how to quantify the gap between your current state and full adoption
- The adoption path: sequencing changes so the transition doesn't break delivery
- Organizational design: team structure, role definitions, and reporting lines
- Case data from 30+ client engagements showing measured outcomes at each maturity level
Who this is for
Engineering leaders, VPs of Engineering, Directors of QA, and CTOs who have an existing QA function and are evaluating what it should become. This is not a pitch deck. It's the full methodology, published so you can evaluate how Loop thinks before talking to us.
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AI-Native Quality Engineering
The flagship methodology paper
Also available