Good for comparing categories and where there is limited data

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Represents a snapshot of the variation in the process

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For showing trends and shifts especially with continuous data

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Highlights the correlation between an Output (Y) and Input (X) variable

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To evaluate how well a process output meets specification limits or customer performance levels

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A structured, prepared form for collecting and analyzing data

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Sampling allows inferences to be made about large groups through the measurement of a limited number of those groups

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A graphical way of generating and analyzing real causes behind a problem or effect

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A graphical method of comparing and sorting a set of measures to highlight the most important

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To determine possible ways the process can fail and prioritize and manage high risk events

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Finding whether ‘throughput’ processes can meet demand and to identify the areas in the process where improvements are required

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A visual tool that helps identify the most important issues or root causes of a complex problem

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A decision tree is a map of the possible outcomes of a series of related choices. ​

It allows an individual or organization to weigh possible actions against one another based on their costs, probabilities, and benefits.​

The manner of illustrating often proves to be decisive when making a choice. ​

A Decision Tree Analysis is created by answering a number of questions that are continued after each affirmative or negative answer until a final choice can be made.​

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To prioritise tasks, issues or possible options based on known, weighted criteria.​

The prioritisation matrix is an indispensable tool for identifying critical issues requiring immediate attention.​

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Where a group of people meet to generate new ideas and solutions around a topic by removing inhibitions

Evaluating and selecting ideas.

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Gathering and grouping ideas to categorise them in order to understand the essence of a problem and permit further analysis.

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Maintaining an orderly workplace​

Eliminating and reducing the causes of waste.​

Ensuring process improvements are sustained.​

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Visually communicate expectations, performance, standards or warnings in a way that requires little or no prior training to interpret

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For clarification of accountabilities and responsibilities for key actions and decisions within a process

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Uses statistical techniques to indicate if a process is statistically ‘out of control’, or is in danger of going out of control

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