For the second assignment, you will continue to use the “Repairing Customer Satisfaction’ Download “Repairing Customer Satisfaction’case study to develop the second of two progress reports. You will access the case study via the link provided and follow the instructions below. Review “Types of Data Analysis” Download “Types of Data Analysis”, for additional information to complete the assignment.
Instructions
Based on the case study “Repairing Customer Satisfaction” Download “Repairing Customer Satisfaction”, develop a 2 – 3 page progress report on your findings for the Board of Directors that includes the following.
- Develop the final draft of your hypothesis regarding your framed problem, including elements of a new value proposition for the company, based on your analysis of the organization, root causes, and data required for your chosen identified deficiency.
-
- Select one of the analytical tools discussed in the reading from Week 3 and the Types of Data Analysis (PDF) to analyze collected data.
- Apply the selected analytical tool to the data you collected in the Week 3 assignment and the identified root causes, then respond to the following.
-
- Discuss if there was sufficient and relevant data available for analysis.
- If the data was insufficient, what additional data would have been helpful for a more complete picture of the problem/opportunity?
- Discuss if there was sufficient and relevant data available for analysis.
-
- Describe how the analysis supported or refuted your hypothesis.
- Discuss which of the data analyzed supported your hypothesis the best and which data were surprising or presented a challenge to your initial hypothesis.
- Develop the communication plan for the CEO, BOD, and organization based on your proposal and instructor feedback in Week 3 so brainstorming can begin, and solutions can be arrived at.
- In your communication plan, address the following: stakeholders to be included, timelines for initial communications and follow-up messaging, and media to be leveraged, e.g., team or town hall meetings, emails with progress reports, etc.
This course requires the use of Strayer Writing Standards (SWS). The library is your home for SWS assistance, including citations and formatting. Please refer to the Library site for all support. Check with your professor for any additional instructions.
The specific learning outcomes associated with this assignment are:
- Apply best practices to analyze data and transform it into relevant information, including deploying analytical tools and new technologies such as AI and analytical software.
- Demonstrate an understanding that the elements of data-driven decisions extend beyond merely quantitative data and must include aspects of qualitative data.