# Scatter Diagram Template

A scatter diagram is a graph that helps you visualize the relationship between two variables. It is used to check if changes in one variable are associated with changes in the other variable. For example, a scatter diagram can be plotted to check if there is a relationship between the number of months a person has been on the job and the time it takes him or her to complete his or her duties.

# What is a Process

The products and services delivered by any organization are the result of processes. Any business activity whether it is industrial, commercial or service-oriented can be considered as a process. Managing these processes is a key to success for any organization. A process can be defined is a set of steps designed to produce a product or service to add value to a customer. It starts with a business goal and ends with the achievement of the that goal.

# Graphical Analysis

Graphing the data can be utilized for both historical data already available and when analyzing the data resulting from live data collection activities. Of course, you need to pick the right graphical tool as there are a lot of different ways to plot your data. A number of commonly used graphical tools will be covered here. However, note that if one graph fails to reveal anything useful, try another one.

# Cause and Effect Matrix Template

The Cause and Effect Matrix is used to understand the relationship between causes and effects. Whenever an output variable drifts out of specification, that is an effect. When an effect goes out of specification, you need to rank the potential causes in terms of importance, and the causes with the highest overall score should be addressed first in improvement efforts.

# Relationship Mapping

A Relationship Map is a visual display that shows the relationships between individual items. It allows to see and analyze the logical links between the different elements of any situation. A simple example of a relationship map is your network of personal and social relations. Another example is what is called the Interrelationship Digraph which is a visual display of the cause and effect relationships involved in a process or problem.   Read more »

# Matrix Diagram

A Matrix Diagram is a table that allows sets of data to be compared in order to make better decisions. It displays the existence and strength of relationship between pairs of items of two or more sets. The relationship is then indicated by a number or symbol in each cell where the two items intersect in the matrix. A matrix diagram can be used as part of other decision making tools. Cause and Effect Matrix and Quality Function Deployment are examples of tools that use the matrix diagram.   Read more »

# Fishbone Diagram

A fishbone diagram provides a structured way to identify and organize the potential causes of a problem. It allows to establish and present the cause-and-effect in an easy and understandable format. It is called this way because of its shape that looks like a skeleton of a fish. It is also called as cause-and-effect diagram and Ishikawa diagram after the man who created it. It is one of the seven basic tools of quality.

# Scatter Diagram

Many situations require the investigating whether a relationship exists between two or more variables. A line manager, for example, may want to check the relationship between the number of training hours and employee productivity, or if the number of defects is a function of the experience of the person causing it. A call center manager may be interested in studying the relationship between the number of people working on a shift and the average answer time.

# A3 Problem Solving Template

A3 Thinking is a logical and structured approach to problem solving adopted by Lean organizations around the world. It allows to focus on the real issues while helping the team collaborate to gain deeper insight into problems. It is aligned with and supports the PDCA management philosophy.

# Histograms and Box Plots

Histograms and box plots are graphical representations for the frequency of numeric data values. They aim to describe the data and explore the central tendency and variability before using advanced statistical analysis techniques. In this article, we will further discuss the similarities and differences between these two tools.

# Pareto Analysis

Pareto is a principle that helps to focus on the most important matters to obtain the maximum benefits. It describes a phenomenon that a small number of high values contribute more to the total than a high number of low values. The main idea behind the Pareto analysis is to identify the ‘vital few’ from the ‘trivial many’. It is one of the seven basic tools of quality, and often referred to as the 80/20 principle and the law of the vital few.