Statistical Process Control

A powerful, common language for understanding when to and when not to take action

Statistical Process Control (SPC) is an approach for rapidly detecting changes and trends. By using graphical displays to monitor all individual processes along every step in a service pathway, it conveys meaningful insights that can easily be interpreted and used by non-statisticians.

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Understand issues faster

SPC helps improve systems more readily and faster than traditional reporting KPI methods.


Because it monitors and reports variation along every step of a process or service journey, it quickly highlights bottlenecks, problems, and the impact of interdependencies. It is a valuable tool for understanding the behaviour and effectiveness of a process or service, ensuring the sustainability of improvements over time.

Empower your people

By providing a simple, common language for discussing the behaviour of a process and knowing when to and when not to take action, SPC empowers your people to effect continuous improvements throughout the organisation.

It allows forecasting and prediction of process capability based on signals, trends and other operational insights and enables your people to determine whether changes made to a process are having the desired results and outcomes.

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Proven methodology

With its origins in the work of W.A. Shewhart who established that in order to achieve highly consistent quality and efficiency, it was far more effective to monitor and control the production process, rather than inspecting finished products.

Today, this method is widely regarded as highly effective at improving effectiveness and outcomes in a variety of user-focused service industries from utility companies to healthcare providers.