It describes the exact steps as well as the sequence that needs to be followed in gathering the data for the given Six Sigma project. This document is important because the people that design the data gathering plan are not the same people that will actually be collecting the data. Firstly the document ensures that every one on the six sigma project team is on the same page with regards to the data plan. Secondly it ensures that this information is correctly transmitted to the people in the organization that will actually provide for the data needs.
There are several crucial steps that need to be addressed to ensure that the data collection process and measurement systems are stable and reliable. Incorporating these steps into a data collection plan will improve the likelihood that the data and measurements can be used to support the ensuing analysis.
What follows is a description of these steps. A checklist, populated with dummy responses, is also provided to illustrate the importance of building a well-defined data collection plan prior to execution. Pre-Data Collection Steps 1.
Clearly define the goals and objectives of the data collection 2. Reach understanding and agreement on operational definitions and methodology for the data collection plan 3. Ensure data collection and measurement repeatability, reproducibility, accuracy and stability During Collection Steps 4.
Follow through with the data collection process Post-Data Collection Steps 5. Follow through with the results Step 1: Define Goals And Objectives A good data collection plan should include: A brief description of the project The specific data that is needed The rationale for collecting the data What insight the data might provide to a process being studied and how it will help the improvement team What will be done with the data once it has been collected Being clear on these elements will facilitate the accurate and efficient collection of data.
Define Operational Definitions and Methodology The improvement team should clearly define what data is to be collected and how. It should decide what is to be evaluated and determine how a numerical value will be assigned, so as to facilitate measurement.
The team should consider consulting with the customer to see if they are already collecting the same or similar data. If so, comparisons can be made and best practices shared. The team should also formulate the scope of the data collection: How many observations are needed What time interval should be part of the study Whether past, present, and future data will be collected The methodologies that will be employed to record all the data It is best to obtain complete understanding of and agreement on all the applicable definitions, procedures and guidelines that will be used in the collection of data.
Overlooking this step can yield misleading results if members of the improvement team are interpreting loosely defined terms differently when collecting data.
Serious problems can arise for the organization when business decisions are made based on this potentially unreliable data. If the team wishes to examine historical data to include as part of the study, careful attention should be paid to how reliable the data and its source has been, and whether it is advisable to continue using such data.
Data that proves to be suspect should be discarded. Ensuring Repeatability, Reproducibility, Accuracy and Stability The data being collected and measured will be repeatable if the same operator is able to reach essentially the same outcome multiple times on one particular item with the same equipment.
The data will be reproducible if all the operators who are measuring the same items with the same equipment are reaching essentially the same outcomes. In addition, the degree to which the measurement system is accurate will generally be the difference between an observed average measurement and the associated known standard value.
Developing a data collection plan TIIICL Workshop Summer Types of data: Existing and archival Lesson plans Student work Other artifacts Types of data: Generated data Surveys Checklists Interviews Outside observers Photo evidence Tape/video recordings Developing a data collection plan First write down a statement of your question. Outlining a Data Collection Plan in a research paper or master's thesis from Paper Masters. The purpose of outlining a data collection plan is to describe the methodology you will use to collect data that will further assist you in evaluating the alternatives under consideration. A Data Collection Plan is a well thought out approach to collecting both baseline data as well as data that can provide clues to root cause. The plan includes where to collect data, how to collect it, when to collect it and who will do the collecting.
The degree to which the measurement system is stable is generally expressed by the variation resulting from the same operator measuring the same item, with the same equipment, over an extended period. Improvement teams need to be cognizant of all the possible factors that would cause reductions in repeatability, reproducibility, accuracy and stability — over any length of time — that in turn may render unreliable data.
It is good practice to test, perhaps on a small scale, how the data collection and measurements will proceed. It should become apparent upon simulation what the possible factors are, and what could be done to mitigate the effects of the factors or to eliminate the factors altogether.
The Data Collection Process Once the data collection process has been planned and defined, it is best to follow through with the process from start to finish, ensuring that the plan is being executed consistently and accurately.
Assuming the Black Belt or project lead has communicated to all the data collectors and participants what is to be collected and the rationale behind it, he or she might need to do additional preparation by reviewing with the team all the applicable definitions, procedures, and guidelines, etc.
This could be followed up with some form of training or demonstration that will further enhance a common understanding of the data collection process as defined in the plan.
It is a good idea that the Black Belt or project lead be present at the commencement of data collection to provide some oversight. This way the participants will know right away whether or not the plan is being followed properly.
Depending on the length of time it takes to collect data — and whether the data collection is ongoing — providing periodic oversight will help to ensure that there are no shortcuts taken and that any new participants are properly oriented with the process to preserve consistency.
After The Data Collection Process Referring back to the question of whether or not the data collection and measurement systems are reproducible, repeatable, accurate, and stable, the Black Belt or project lead should check to see that the results data and measurements are reasonable and that they meet the criteria.
Reviewing the operational definitions and methodology with the participants should help to clear up any misunderstandings or misinterpretations that may have caused the breakdowns. Sample Populated Data Collection Plan The text displayed in maroon is example data for illustration purposes only.
In order to create your own data collection plan, you should follow the outline provided and reproduce the maroon text with your project specific plan. Goals And Objectives Description of the project:Data collection is a crucial step in the process of measuring program outcomes.
By measuring outcomes, an organization can better recognize the effectiveness and value of its programs, and pinpoint where changes or improvements need to be made. A data collection plan is a detailed document.
It describes the exact steps as well as the sequence that needs to be followed in gathering the data for the given Six Sigma project. A data collection plan is a detailed document which explains the steps as well as the sequence that needs to be followed in gathering the data for the given Six Sigma Project.
Simple data collection planning is a process to ensure that the data you collect for performance improvement are useful and reliable, without being unnecessarily costly and time-consuming to obtain.
In the DMAIC methodology, a data collection plan is created during the Measure phase. It is a useful tool to focus your data collection efforts on. Why Do You Need a Data Collection Plan? Achieve Context. Simply getting “all of the data” and looking at it is not likely to yield great results; you can easily get overwhelmed.
Welcome to the e-learning lesson on Creating and Implementing a Data Collection Plan. Data collection is a crucial step in the process of measuring program outcomes.