Thursday, October 23, 2008

Six Sigma Data Collection Requires Asking the Correct Questions

By Craig Calvin

When the level of no defects is achieved, this is the Six Sigma level. A method used by a lot of companies that is used to bring about change is the DMAIC methodology. In Six Sigma's Measure phase, data that is relevant to the product is gathered. If the data collected dictates it, there may be a further analysis and improvements may be made.

The Right Data Being Collected- During the Measure phase data is collected in the method of asking the right questions to the customers. This is the point at which it is of utmost importance that the correct questions are posed by the Six Sigma team, so that issues are understood clearly. Once the questions are asking in the proper manner you will be sure to have the right answer, which can be utilized in incorporating improvements in the company.

Tips to Getting the Right Data- Here are a few tips that can prove helpful in all types of Six Sigma projects: 1. The first thing that needs to be done is to ensure that those involved in data collection are themselves aware about the utility and importance of the data. This helps in eliminating any misunderstandings, which can lead to incorrect phrasing of questions. 2. Data collection can be handed over to an objective third party to reduce any sort of bias regarding the information collected. 3. There are factors such as the location, machinery, the person on a job, the shift, etc., which are very much important for consideration.

You do not want to repeat the data collection activity because you have erroneously missed out something initially. Employees may not be prepared to spare any more time on the activity. Asking a good question is important. It should be simple and easy enough to comprehend and respond to them. When you are using tools like questionnaires to get information from customers, you should design it in a column versus row format, like that of the spreadsheet. This makes it easier to understand.

If you provide guidelines with the questionnaire regarding some of the critical and complex questions, then the probability of getting wrong answers is minimized. Though this seems unnecessary, it is important to note down on the data collection form the name of the data collector, so that if there is a need to follow up for clarification, it becomes possible. Last but not least, if a trial run of the data collection is undertaken, it will be a good review of the questions, so that those which seem incorrect can be sorted out.

In addition, if there is anything that stands out as potentially requiring additional attention, you can identify these problems before delivering results to a client. These tips are best kept in mind if you are concerned with ensuring optimal results. - 15266

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