There are many different factors that you need to learn about and understand in regards to a data collection plan, and so in order to become properly knowledgeable on the subject of a data collection plan, you must take all of these factors into serious consideration. The first thing that you need to know about in regards to this is how to build a data collection plan.
How to Build a Data Collection Plan
In regards to the building of a data collection plan, basically those who are leading projects such as this should develop a sound data collection plan in order to be able to gather data in the measurement phase, and there are several incredibly crucial steps that need to be addressed in order to ensure that the data collection process and measurement systems are both stable and reliable.
As well, incorporating these steps into a data collection plan will improve the likelihood that the data and the measurements can be used to support the ensuing analysis. Furthermore, there are many different steps that need to be taken into consideration here, and there are pre-data collection steps, as well as during and post-data collection steps that are involved here.
In regards to the pre-data collection steps, these are: clearly define the goals and objectives of the data collection, reach understanding and agreement on operational definitions and methodology for the data collection plan, and to ensure data collection (and measurement) repeatability, reproducibility, accuracy, and stability.
In regards to the during data collection steps, this is simply to follow through with the data collection process, and then lastly, the post-data collection step is to simply follow through then with the results.
Data collection then basically is something which helps your team to be able to assess the health of your process, and however in order to do so, you must identify all of the key quality characteristics you will measure, as well as how you will measure them, and what you will then do with the data that you end up collecting.
Data collection, it should really be known, is nothing more than planning for and obtaining useful information on key quality characteristics produced by your progress, and however, simply collecting data does not ensure at all that you will be able to obtain relevant or specific enough data in regards to being about to tell you what is occurring in your process.