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Actual for You - Root Cause Analysis - Simple Techniques to Understand Why Performance is Doing What It's Doing
The business card is, perhaps, the least expensive and easily used advertising device available in the world of commerce. Many people do not give the time and proper consideration to the design of this very cost effective tool. It is very possible that your business card is going to create the important first impression of you and your service. Since business cards are often kept and even slid into wallets for later use that first impression might end up being a second or third impression as well.Therefore it makes sense to put t
Technique #6: regression analysis
Regression analysis goes a step further, and builds a mathematical model you could use to predict a result based on a change in your causal factor. Knowing this can hel
The first concern of business is the bottom line. Progressive employers have begun to see that their bottom line is increasingly linked to the visual health of their workers. Color Vision Deficiency, no less than eyestrain suffered by significant numbers of the workforce who sit for long periods at a computer screen, can impact negatively on productivity and the bottom line.Responsible employers should be aware that a number of their staff will have a color vision deficiency. Depending on the nature of their business, they wil
Understanding the real causes of performance results means taking a more rigorous approach than knee-jerk reacting to hearsay, opinion or gut feel. Here are some basic techniques to help you navigate through the stages of cause analysis:
* find the likely causes, and measure the incidence of each
* assess the nature and size of the cause's impact
* check for interaction with other causal factors
Technique #1: flow charting
It's impossible to do any kind of serious cause analysis unless you can actually trawl through all the factors that have some kind of potential impact on your performance result, and sift out those factors that have the most dominant impact. Flow charting the process or activity or function whose results you are measuring, is a great way to systematically trawl through all the potential causes of those results. There is software available for flow charting, but hand-drawn charts are quick and easy.
Technique #2: cause-effect diagrams
After flow charting your process and identifying what can sometimes be dozens of potential causes, you can have long lists that contain duplicates and related causes. Cause-effect diagrams (or fishbone diagrams) are a great way to collate and organise potential causes as you identify them, clustering related causes together so you can more clearly see the themes, and more easily discuss the most likely causes. There is software available for cause-effect diagrams, but again hand-drawn diagrams can do the job well enough.
Technique #3: Pareto charts
When you then go and count or measure how often or how much each likely cause is associated with your results, Pareto charts can then help you rank the causes and highlight those that have the biggest impact. You're now getting the stage where you have between 2 and 5 (roughly) causal factors you may wish to learn even more about. In Microsoft Excel, just use a vertical bar chart on your data, after sorting it from biggest to smallest.
Technique #4: scatter plots
When you arrived at the few causes that have the biggest impact on your performance result, it can be useful to know just how big that impact is. Scatter plots are an easy and visual way to explore when the cause variable changes, how much and in which direction the performance result changes. Scatter plots are one of the charts available in Microsoft Excel.
Technique #5: correlation coefficients
To get more a quantitative measure of the impact of a causal factor on your result, you can calculate a correlation coefficient which will give you a value between 0 and 1 indicating the strength of the relationship between your causal factor and the result. A postive value means that an increase in your causal factor will likely lead to an increase in your result, and a negative value means that an increase in your causal factor will likely lead to a decrease in your result. In Microsoft Excel, use the CORREL function to calculate your correlation coefficient.
Technique #6: regression analysis
Regression analysis goes a step further, and builds a mathematical model you could use to predict a result based on a change in your causal factor. Knowing this can help
Proper training of your cleaning staff not only leads to cleaner buildings, but it also means fewer accidents, faster cleaning times, and a more professional cleaning staff. When hiring new employees, you may find candidates with extensive backgrounds in cleaning; however, it is more likely your new - hires will know little about proper cleaning techniques. Proper training is essential to get your employees off on the right foot and to make sure they are getting the work done properly, safely, and efficiently. Keeping the following t
* check for interaction with other causal factors
Technique #1: flow charting
It's impossible to do any kind of serious cause analysis unless you can actually trawl through all the factors that have some kind of potential impact on your performance result, and sift out those factors that have the most dominant impact. Flow charting the process or activity or function whose results you are measuring, is a great way to systematically trawl through all the potential causes of those results. There is software available for flow charting, but hand-drawn charts are quick and easy.
Technique #2: cause-effect diagrams
After flow charting your process and identifying what can sometimes be dozens of potential causes, you can have long lists that contain duplicates and related causes. Cause-effect diagrams (or fishbone diagrams) are a great way to collate and organise potential causes as you identify them, clustering related causes together so you can more clearly see the themes, and more easily discuss the most likely causes. There is software available for cause-effect diagrams, but again hand-drawn diagrams can do the job well enough.
Technique #3: Pareto charts
When you then go and count or measure how often or how much each likely cause is associated with your results, Pareto charts can then help you rank the causes and highlight those that have the biggest impact. You're now getting the stage where you have between 2 and 5 (roughly) causal factors you may wish to learn even more about. In Microsoft Excel, just use a vertical bar chart on your data, after sorting it from biggest to smallest.
Technique #4: scatter plots
When you arrived at the few causes that have the biggest impact on your performance result, it can be useful to know just how big that impact is. Scatter plots are an easy and visual way to explore when the cause variable changes, how much and in which direction the performance result changes. Scatter plots are one of the charts available in Microsoft Excel.
Technique #5: correlation coefficients
To get more a quantitative measure of the impact of a causal factor on your result, you can calculate a correlation coefficient which will give you a value between 0 and 1 indicating the strength of the relationship between your causal factor and the result. A postive value means that an increase in your causal factor will likely lead to an increase in your result, and a negative value means that an increase in your causal factor will likely lead to a decrease in your result. In Microsoft Excel, use the CORREL function to calculate your correlation coefficient.
Technique #6: regression analysis
Regression analysis goes a step further, and builds a mathematical model you could use to predict a result based on a change in your causal factor. Knowing this can hel
With the popularity of chefs such as Emeril Lagasse and Nigella Lawson, the culinary arts have taken on new prestige. In fact, a number of people are trading in their pens and calculators for spatulas and food processors, moving from the office to the kitchen. Such a transition can be quite financially rewarding, since a executive chef can make in excess of $150,000.While a career as an executive chef may be entirely within your reach, you should be aware of the fact that you’ll have to start out at the bottom end of the sushi ba
Technique #3: Pareto charts
When you then go and count or measure how often or how much each likely cause is associated with your results, Pareto charts can then help you rank the causes and highlight those that have the biggest impact. You're now getting the stage where you have between 2 and 5 (roughly) causal factors you may wish to learn even more about. In Microsoft Excel, just use a vertical bar chart on your data, after sorting it from biggest to smallest.
Technique #4: scatter plots
When you arrived at the few causes that have the biggest impact on your performance result, it can be useful to know just how big that impact is. Scatter plots are an easy and visual way to explore when the cause variable changes, how much and in which direction the performance result changes. Scatter plots are one of the charts available in Microsoft Excel.
Technique #5: correlation coefficients
To get more a quantitative measure of the impact of a causal factor on your result, you can calculate a correlation coefficient which will give you a value between 0 and 1 indicating the strength of the relationship between your causal factor and the result. A postive value means that an increase in your causal factor will likely lead to an increase in your result, and a negative value means that an increase in your causal factor will likely lead to a decrease in your result. In Microsoft Excel, use the CORREL function to calculate your correlation coefficient.
Technique #6: regression analysis
Regression analysis goes a step further, and builds a mathematical model you could use to predict a result based on a change in your causal factor. Knowing this can hel
Hi all,Internet is one of the best or should I say the Best method to publish their services, ebooks or whatever anyone can think of. Name it, they have it. And Internet is a 24/7 running medium unlike the TV commercials, radio or newspaper which have limited exposure.And hence something to share about the possibility of earning some cash reading email online.Email will be sent according to subscribers' interests which will be asked during the registration. So expect no spam. If there is any email subscribers find u
Technique #4: scatter plots
When you arrived at the few causes that have the biggest impact on your performance result, it can be useful to know just how big that impact is. Scatter plots are an easy and visual way to explore when the cause variable changes, how much and in which direction the performance result changes. Scatter plots are one of the charts available in Microsoft Excel.
Technique #5: correlation coefficients
To get more a quantitative measure of the impact of a causal factor on your result, you can calculate a correlation coefficient which will give you a value between 0 and 1 indicating the strength of the relationship between your causal factor and the result. A postive value means that an increase in your causal factor will likely lead to an increase in your result, and a negative value means that an increase in your causal factor will likely lead to a decrease in your result. In Microsoft Excel, use the CORREL function to calculate your correlation coefficient.
Technique #6: regression analysis
Regression analysis goes a step further, and builds a mathematical model you could use to predict a result based on a change in your causal factor. Knowing this can hel
Many people will assure you that there are specific, scientific ways to value a business and most people believe that this dark art is only known to the select few who are paid vast sums of money for their services.If you speak to accountants, business brokers, investors or venture capitalists they can give you chapter and verse on how to apply some of the theories. They can tell you about Enterprise Values, Discounted Cash Flows, Price/Earnings multiples, and multipliers of Revenue, EBITDA, EBIT and PBT. The explanations will
Technique #6: regression analysis
Regression analysis goes a step further, and builds a mathematical model you could use to predict a result based on a change in your causal factor. Knowing this can help you set achievable targets for improvement, and estimate realistically what resources you're really going to need to get that improvement. In Microsoft Excel, create your scatter plot between your causal factor and performance result, then add a trend line, with the options of showing the equation and R-squared value on the chart (the R-squared value is a measure the reliability of the equation).
There are certainly more statistical techniques that can help you with cause analysis (such as multi-variate regression, experimental design and analysis of variance or ANOVA), but those provided above will still bring some valuable rigour to your performance improvement efforts.
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