Quality at speed has become the mantra of modern delivery. However, many organisations still struggle to turn their aspirations into a repeatable, measurable practice.

TMMi and similar models help benchmark testing maturity, yet stop short of guiding how to establish a truly integrated Quality Engineering capability across modern ways of working.
In this talk, we introduce the Quality Engineering Practice Optimisation (QPO) model, which extends traditional test process improvement thinking into a broader, lifecycle‑wide view of quality.

The model describes a clear evolution from simple testing to establishing a whole-team approach to QE delivery. The model includes essential elements such as strategy, policy and fundamental non‑functional coverage, through to establishing automate-first, AI‑driven and quality‑led delivery.

In our presentation, we will explore:
• How QPO maps to QE practices, including policy, strategy, risk management, metrics, tooling, environments, automation, AI, observability and feedback.
• How to use the model alongside (not instead of) frameworks like TMMi, to identify targeted, complimentary, low‑friction improvement activities.
• Steps for establishing a quality‑driven roadmap that balances investment without overwhelming delivery teams.

You’ll leave with a structured, practical approach to assessing where your teams are today, a realistic view on what “good” looks like at different stages of maturity, and a set of pragmatic steps for incrementally uplifting your own QE practice.