The Metrics Masterclass: Use XmR Charts to Gain Mastery Over Your Business
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Part 1.1: Introduction

1.1 Why Are We Here?
Part 1.2 The Rules

1.2 The Types of Variation and the 3 Rules
Part 1.3 Main Uses of XmR Charts

1.3.1 Before/After Experiments
1.3.2 Monitoring
1.3.3 Prediction
Part 1.4 Common Transformations

1.4.1 Count Data
1.4.2 Rare Events
1.4.3 Trended Data
Part 1.5 How to Improve

1.5.1 Improving Your Process
1.5.2 Improving on Variation
Part 1.6 Ways XmR Charts Can Fail

1.6.1 Chunky Data
1.6.2 The Calculation Effect
1.6.3 Double Humped Distributions
Part 2: Using This to Improve Your Business

2.1.1 Why Are You Here
2.2.1 Variation
2.3.1 Continuous Improvement
2.3.2 PDSA Case Study 1
2.4.1 Process Control vs Optimisation Worldviews
2.5.1 Input vs Output Metrics
2.6.1 Putting Into Practice Inside Your Organisation

Part 1.6 Ways XmR Charts Can Fail

Welcome to section 6 of Module 1 of the Metrics Masterclass.

In this section, Sam will discuss the ways that XmR charts can fail and what you can do to avoid this.

The three failure modes he will cover are:

Chunky Data
The Calculation Effect
Double Humped Distributions

3 Lessons