This section focusses on project improvement project measures – which can be used to monitor progress, communicate your story and assess whether changes are maintained.
A measurement plan sets out details for each measure proposed for an improvement project.
A run chart is a line graph of data plotted over time. By collecting and charting data over time, you can find trends or patterns in the process.
Statistical Process Control (SPC) charts are simple graphical tools that enable process performance monitoring.
A funnel plot is a chart that helps to understand variation within a system.
A graph in which the values of two variables are plotted along two axes, the pattern of the resulting points revealing any correlation present.
A Pareto Chart is a tool to help you understand your system.
A histogram is a plot that lets you discover, and show, the underlying frequency distribution (shape) of a set of continuous data.
Note: To access eLearning modules you will need to register for a Turas account and be logged into the site.
eLearning on tablets
Please note that the Quality Improvement e-learning modules can be accessed on mobile devices. However devices may require installation of additional software to allow full functionality of the modules (e.g. Puffin app).
Data Collection Includes: Planning your data collection Sampling Collecting and storing your data
Developing your measures includes: Improvement project measures Deciding what to measure Types of data Defining your measures
Understanding Variation Includes: What is variation and why we need to understand it Types of variation How to look at variation SPC charts Reacting to variation
Presenting data includes: The importance of good data visualisation Principles of data visualisation and design Choosing the right chart for the job Tips for good charts Presenting charts to a group
Introduction to Measurement for Improvement Includes: Why is measurement necessary? The difference between data for improvement and data for other purposes Qualitative and quantitative data