How to collect data easiest way

Collection of the Correct Data- Data is gathered, in the Measure phase, by the procurement of questions to the consumer. This is the place where is is crucial that the questions being posed are the right ones, and that they are asked by the Six Sigma team, only then will the proper understanding of the pertaining subjects be achieved. When the right question is posed in the the right way, only then will you receive the right answer. This answer can be used to make improvements in your business.

Tips to Getting the Right Data- Here are a few tips that can prove helpful in all types of Six Sigma projects: 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 .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.

It is not ideal to have to perform this process again due to errors being made. Your employees may not be able to spare extra time on the process. Make sure to ask good questions that are to the point, providing maximum comprehension level and making responses easy to be made. If using a questionnaire style method of collecting data, use the style similar to a spreadsheet in place of rows. This will make understanding come easier.

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.

Lastly, if anything seems if-y, you can pin point those questions before delivering information to the client. Keeping these tips in mind before performing data analysis will ensure great results.