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  • Atricle Dump - Root Cause Analysis - Simple Techniques to Understand Why Performance is Doing What It's Doing

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    hat 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. Th
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    Measuring performance results is a great thing to do, but understanding the causes of those results is at least as worthwhile. Understanding causes means you have information about how to exercise more influence (or control) over those results. If you want your results to improve, you've got to change the right things about the process or activity or function that produces those results.

    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. Th

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    produces those results.

    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. Th

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    nd 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. Th

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    pact. 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. Th

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    At a business conference recently I got a powerful message about the power of authenticity. Paul Ray, coauthor of the best-selling book, The Cultural Creatives: How 50 Million People Are Changing the World, gave a compelling presentation about how small business can leverage their authenticity to achieve greater success.Ray shared that if you own or work in a small, socially responsible business, you have a big advantage over the "big guys," the Fortune 500-type corporations. While not every big business is "bad" and not every sm
    hat 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 c

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