Case Study Assignment: Creating a Data Collection Plan
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mgt4399_mod4_assign_rubric.pdf
MGT 4399: Quality Management
Module 4 Case Study Assignment: Creating a Data Collection Plan
Guidelines and Rubric Before measuring process data, it is important to first create a data collection plan. This is a detailed document describing the exact steps needed to gather the right quantity of targeted data items in a cost-effective manner. This data plan should facilitate collecting and measuring relevant data needed to evaluate the process problem. For this assignment, you will refer back to the Case Study: Applying Lean Six Sigma in a Financial Services Firm (pp. 56-59) in An Introduction to Six Sigma & Process Improvement and create a brief data collection plan based on the case study. Specifically, be sure to address the following to complete this assignment:
● Identify the questions or problem to address ● Describe the type of data needed and available ● Identify the form in which the data is needed ● Explain how the data will be measured ● Determine whether data samples suffice, and if so, how much will be needed ● Explain how the data will be displayed
Guidelines for Submission: Your assignment should be submitted as a Microsoft Word document, about three paragraphs in length, with double spacing, 12-point Times New Roman font, 1-inch margins, and any sources cited in APA format. Instructor Feedback: This activity uses an integrated rubric in Blackboard. Students can view instructor feedback in the Grade Center.
Rubric Criteria Exemplary (100%) Needs Improvement (75%) Not Evident (0%) Value
Questions or Problem
Identifies the questions or problem to address.
Identifies the questions or problem to address, but is unclear or inaccurate.
Does not identify the questions or problem to address.
18
Data Type Describes the type of data needed and available.
Describes the type of data needed and available, but is unclear or inaccurate.
Does not describe the type of data needed and available.
18
MGT 4399: Quality Management
Data Form Identifies the form in which the data is needed.
Identifies the form in which the data is needed, but is unclear or inaccurate.
Does not identify the form in which the data is needed.
18
Measurement Explains how the data will be measured. Explains how the data will be measured, but is unclear or inaccurate.
Does not explain how the data will be measured.
18
Samples Determines whether data samples suffice, and if so, how much will be needed.
Determines whether data samples suffice, and if so, how much will be needed, but is unclear or inaccurate.
Does not determine whether data samples suffice, and if so, how much will be needed.
10
Display Explains how the data will be displayed. Explains how the data will be displayed, but is unclear or inaccurate.
Does not explain how the data will be displayed.
18
Total = 100%
