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[>Ecology homework help](https://www.sweetstudy.com/fields/biology-ecology) – a month ago **files (2)** – ## CaseStudyInstruction.docx – ## CaseAnalysisRubric.docx **## CaseStudyInstruction.docx** **_Case Study #3_** **Jennie Maze Limited: Enhancing Call Center Performance Using Predictive Analytics…
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– a month ago
**files (2)**
– ## CaseStudyInstruction.docx
– ## CaseAnalysisRubric.docx
**## CaseStudyInstruction.docx**
**_Case Study #3_**
**Jennie Maze Limited: Enhancing Call Center Performance Using Predictive Analytics**
Purpose
This case study assignment allows you to demonstrate your ability to apply evidence-based management concepts, assigned readings, and lecture content to investigate a real business problem, evaluate alternative solutions, and propose evidence-based recommendations. You will use the
**HBS case study method** and the provided dataset (BAB265-XLS-ENG.xlsx) to analyze challenges faced by Jennie Maze Limited in forecasting and managing call center performance.
📌 Instructions
1.
**Read the Case & Review the Data**
· Read the case materials for
_Jennie Maze Limited: Enhancing Call Center Performance Using Predictive Analytics_ available in the required coursepack.
· Open the accompanying Excel dataset (
[BAB265-XLS-ENG.xlsx](https://henderson.instructure.com/courses/24639/files/2662861?wrap=1) [Download BAB265-XLS-ENG.xlsx](https://henderson.instructure.com/courses/24639/files/2662861/download?download_frd=1)) and review its structure.
· Review the “Case Study Refresher” page posted earlier in this module.
2.
**Conduct the Analysis (in Excel)**
Use Excel to explore and analyze the dataset. You may use features such as
**sorting, filtering, descriptive statistics, pivot tables, and regression (via the Analysis ToolPak)** as needed.
3.
**Write Your Case Analysis (1–2 pages, max 500 words)**
Your submission should follow the structure below:
**I. Introduction**
· Identify the key business problem(s) facing Jennie Maze Limited.
**II. Background**
· Provide context, relevant facts, and a summary of the most important data issues or organizational challenges.
**III. Address Case Questions**
· What is the central business problem, and what predictive analytics approach would you recommend to solve it?
· What data inconsistencies did you identify, and how would you resolve them? Explain the structure of the data and describe how you would clean and prepare it for analysis.
**IV. Solutions & Recommendations**
· What next steps should Jennie Maze Limited take to create a fully functional and automated approach for forecasting call volume at its six U.S. call centers?
· Support your recommendations with evidence from Excel outputs (tables, graphs, descriptive results, or regression findings where applicable).
4.
**Formatting & Submission**
· Length:
**1–2 pages (maximum 500 words)**
· Format: Times New Roman, 12-point font, double-spaced
· File Type: .doc or .docx
· Upload to the
**Case Study #3 assignment**
· Include graphs, tables, or screen captures from Excel as appropriate.
🔍 Grading Criteria (100 points total)
·
**Introduction & Background (20 pts)** – Identifies the key problems, presents comprehensive background information and relevant facts.
·
**Address Questions (30 pts)** – Applies course concepts to provide thoughtful, evidence-based responses to case questions with analysis clearly demonstrated.
·
**Solutions & Recommendations (30 pts)** – Provides actionable and well-supported recommendations. Evaluates alternatives and connects solutions to predictive analytics concepts.
·
**Professional Writing (20 pts)** – Organized, clear, professional tone; minimal to no errors; sources cited if used.
**Case #3:**
**Jennie Maze Limited: Enhancing Call Center Performance Using Predictive Analytics**
**Case Questions:**
1. What is the business problem and what would be your predictive analytic approach to solving it?
2. What data inconsistencies did you find and how would you resolve them? Explain the structure of the data and how you would clean the data.
**Solutions and Recommendations:**
What are the next steps that should be completed to have a fully functional and automated approach for forecasting incoming call volume at each of the six call centers across the US?
**## CaseAnalysisRubric.docx**
**Case Analysis Rubric (EBM) (2)**
| | | |
| — | — | — |
| Case Analysis Rubric (EBM) (2) |
| **Criteria** | **Ratings** | **Pts** |
| This criterion is linked to a Learning OutcomeIntroduction/Background | **20 ptsExcellent** All information presented: key problems, background information, and relevant facts. Information presented is comprehensive and complete.<br> <br>**18 ptsVery Good** All information presented: key problems, background information, and relevant facts. Information presented is limited<br> <br>**16 ptsGood** All information presented: key problems, background information, and relevant facts. Information presented is limited and could be further developed.<br> <br>**14 ptsFair** Missing 1 piece of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**10 ptsPoor** Missing 2 pieces of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**0 ptsDid Not Complete** Does not present the key problems and issues. Does not present background information. Does not present relevant facts. | 20 pts |
| This criterion is linked to a Learning OutcomeAddress Questions | **30 ptsExcellent** Applies concepts presented in lectures and assigned readings to provide thoughtful responses to questions with comprehensive supporting evidence. Analysis is evident.<br> <br>**28 ptsVery Good** Applies concepts presented in lectures and assigned readings to provide brief responses with limited supporting evidence. Analysis could be further developed.<br> <br>**25 ptsGood** Applies concepts presented in lectures and assigned readings to provide brief responses. No analysis presented.<br> <br>**22 ptsFair** Minimally applies concepts presented in lectures and assigned readings to provide brief responses to questions. No analysis presented.<br> <br>**15 ptsPoor** Provides brief responses to questions, but does not apply concepts presented in lectures and assigned readings. No analysis presented.<br> <br>**0 ptsDid Not Complete** Does not provide responses to questions. | 30 pts |
| This criterion is linked to a Learning OutcomeSolutions & Recommendations | **30 ptsExcellent** Solutions and recommendations are presented with comprehensive explanation. Alternatives are presented and evaluated. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**28 ptsVery Good** Solutions and recommendations are presented with explanation. Alternatives are presented. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**25 ptsGood** Solutions and recommendations are presented. Alternatives are presented. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**22 ptsFair** Solutions and recommendations are presented. Alternatives are presented. Concepts from lectures and assigned readings are not presented to support solutions and recommendations.<br> <br>**15 ptsPoor** Solutions and recommendations briefly stated. Alternatives are not presented. Concepts from lectures and assigned readings are not presented to support solutions and recommendations.<br> <br>**0 ptsDid Not Complete** Does not provide solutions or recommendations. | 30 pts |
| This criterion is linked to a Learning OutcomeProfessional Writing | **20 ptsExcellent** Content is well organized and professional tone is present utilizing professional language and terminology. No errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**18 ptsVery Good** Content is well organized and professional tone is present utilizing professional language and terminology. Minimal errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**16 ptsGood** Content is well organized and professional tone is present utilizing professional language and terminology. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**14 ptsFair** Missing 1 piece of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**10 ptsPoor** Content is organized. Professional tone and work choice could be improved. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are not listed and/or cited.<br> <br>**0 ptsDid Not Complete** Content is disorganized and professional tone could be improved. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are not listed and/or cited. | 20 pts |
Total Points: 100
**## CaseAnalysisRubric.docx**
**Case Analysis Rubric (EBM) (2)**
| | | |
| — | — | — |
| Case Analysis Rubric (EBM) (2) |
| **Criteria** | **Ratings** | **Pts** |
| This criterion is linked to a Learning OutcomeIntroduction/Background | **20 ptsExcellent** All information presented: key problems, background information, and relevant facts. Information presented is comprehensive and complete.<br> <br>**18 ptsVery Good** All information presented: key problems, background information, and relevant facts. Information presented is limited<br> <br>**16 ptsGood** All information presented: key problems, background information, and relevant facts. Information presented is limited and could be further developed.<br> <br>**14 ptsFair** Missing 1 piece of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**10 ptsPoor** Missing 2 pieces of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**0 ptsDid Not Complete** Does not present the key problems and issues. Does not present background information. Does not present relevant facts. | 20 pts |
| This criterion is linked to a Learning OutcomeAddress Questions | **30 ptsExcellent** Applies concepts presented in lectures and assigned readings to provide thoughtful responses to questions with comprehensive supporting evidence. Analysis is evident.<br> <br>**28 ptsVery Good** Applies concepts presented in lectures and assigned readings to provide brief responses with limited supporting evidence. Analysis could be further developed.<br> <br>**25 ptsGood** Applies concepts presented in lectures and assigned readings to provide brief responses. No analysis presented.<br> <br>**22 ptsFair** Minimally applies concepts presented in lectures and assigned readings to provide brief responses to questions. No analysis presented.<br> <br>**15 ptsPoor** Provides brief responses to questions, but does not apply concepts presented in lectures and assigned readings. No analysis presented.<br> <br>**0 ptsDid Not Complete** Does not provide responses to questions. | 30 pts |
| This criterion is linked to a Learning OutcomeSolutions & Recommendations | **30 ptsExcellent** Solutions and recommendations are presented with comprehensive explanation. Alternatives are presented and evaluated. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**28 ptsVery Good** Solutions and recommendations are presented with explanation. Alternatives are presented. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**25 ptsGood** Solutions and recommendations are presented. Alternatives are presented. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**22 ptsFair** Solutions and recommendations are presented. Alternatives are presented. Concepts from lectures and assigned readings are not presented to support solutions and recommendations.<br> <br>**15 ptsPoor** Solutions and recommendations briefly stated. Alternatives are not presented. Concepts from lectures and assigned readings are not presented to support solutions and recommendations.<br> <br>**0 ptsDid Not Complete** Does not provide solutions or recommendations. | 30 pts |
| This criterion is linked to a Learning OutcomeProfessional Writing | **20 ptsExcellent** Content is well organized and professional tone is present utilizing professional language and terminology. No errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**18 ptsVery Good** Content is well organized and professional tone is present utilizing professional language and terminology. Minimal errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**16 ptsGood** Content is well organized and professional tone is present utilizing professional language and terminology. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**14 ptsFair** Missing 1 piece of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**10 ptsPoor** Content is organized. Professional tone and work choice could be improved. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are not listed and/or cited.<br> <br>**0 ptsDid Not Complete** Content is disorganized and professional tone could be improved. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are not listed and/or cited. | 20 pts |
Total Points: 100
**## CaseStudyInstruction.docx**
**_Case Study #3_**
**Jennie Maze Limited: Enhancing Call Center Performance Using Predictive Analytics**
Purpose
This case study assignment allows you to demonstrate your ability to apply evidence-based management concepts, assigned readings, and lecture content to investigate a real business problem, evaluate alternative solutions, and propose evidence-based recommendations. You will use the
**HBS case study method** and the provided dataset (BAB265-XLS-ENG.xlsx) to analyze challenges faced by Jennie Maze Limited in forecasting and managing call center performance.
📌 Instructions
1.
**Read the Case & Review the Data**
· Read the case materials for
_Jennie Maze Limited: Enhancing Call Center Performance Using Predictive Analytics_ available in the required coursepack.
· Open the accompanying Excel dataset (
[BAB265-XLS-ENG.xlsx](https://henderson.instructure.com/courses/24639/files/2662861?wrap=1) [Download BAB265-XLS-ENG.xlsx](https://henderson.instructure.com/courses/24639/files/2662861/download?download_frd=1)) and review its structure.
· Review the “Case Study Refresher” page posted earlier in this module.
2.
**Conduct the Analysis (in Excel)**
Use Excel to explore and analyze the dataset. You may use features such as
**sorting, filtering, descriptive statistics, pivot tables, and regression (via the Analysis ToolPak)** as needed.
3.
**Write Your Case Analysis (1–2 pages, max 500 words)**
Your submission should follow the structure below:
**I. Introduction**
· Identify the key business problem(s) facing Jennie Maze Limited.
**II. Background**
· Provide context, relevant facts, and a summary of the most important data issues or organizational challenges.
**III. Address Case Questions**
· What is the central business problem, and what predictive analytics approach would you recommend to solve it?
· What data inconsistencies did you identify, and how would you resolve them? Explain the structure of the data and describe how you would clean and prepare it for analysis.
**IV. Solutions & Recommendations**
· What next steps should Jennie Maze Limited take to create a fully functional and automated approach for forecasting call volume at its six U.S. call centers?
· Support your recommendations with evidence from Excel outputs (tables, graphs, descriptive results, or regression findings where applicable).
4.
**Formatting & Submission**
· Length:
**1–2 pages (maximum 500 words)**
· Format: Times New Roman, 12-point font, double-spaced
· File Type: .doc or .docx
· Upload to the
**Case Study #3 assignment**
· Include graphs, tables, or screen captures from Excel as appropriate.
🔍 Grading Criteria (100 points total)
·
**Introduction & Background (20 pts)** – Identifies the key problems, presents comprehensive background information and relevant facts.
·
**Address Questions (30 pts)** – Applies course concepts to provide thoughtful, evidence-based responses to case questions with analysis clearly demonstrated.
·
**Solutions & Recommendations (30 pts)** – Provides actionable and well-supported recommendations. Evaluates alternatives and connects solutions to predictive analytics concepts.
·
**Professional Writing (20 pts)** – Organized, clear, professional tone; minimal to no errors; sources cited if used.
**Case #3:**
**Jennie Maze Limited: Enhancing Call Center Performance Using Predictive Analytics**
**Case Questions:**
1. What is the business problem and what would be your predictive analytic approach to solving it?
2. What data inconsistencies did you find and how would you resolve them? Explain the structure of the data and how you would clean the data.
**Solutions and Recommendations:**
What are the next steps that should be completed to have a fully functional and automated approach for forecasting incoming call volume at each of the six call centers across the US?
**## CaseAnalysisRubric.docx**
**Case Analysis Rubric (EBM) (2)**
| | | |
| — | — | — |
| Case Analysis Rubric (EBM) (2) |
| **Criteria** | **Ratings** | **Pts** |
| This criterion is linked to a Learning OutcomeIntroduction/Background | **20 ptsExcellent** All information presented: key problems, background information, and relevant facts. Information presented is comprehensive and complete.<br> <br>**18 ptsVery Good** All information presented: key problems, background information, and relevant facts. Information presented is limited<br> <br>**16 ptsGood** All information presented: key problems, background information, and relevant facts. Information presented is limited and could be further developed.<br> <br>**14 ptsFair** Missing 1 piece of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**10 ptsPoor** Missing 2 pieces of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**0 ptsDid Not Complete** Does not present the key problems and issues. Does not present background information. Does not present relevant facts. | 20 pts |
| This criterion is linked to a Learning OutcomeAddress Questions | **30 ptsExcellent** Applies concepts presented in lectures and assigned readings to provide thoughtful responses to questions with comprehensive supporting evidence. Analysis is evident.<br> <br>**28 ptsVery Good** Applies concepts presented in lectures and assigned readings to provide brief responses with limited supporting evidence. Analysis could be further developed.<br> <br>**25 ptsGood** Applies concepts presented in lectures and assigned readings to provide brief responses. No analysis presented.<br> <br>**22 ptsFair** Minimally applies concepts presented in lectures and assigned readings to provide brief responses to questions. No analysis presented.<br> <br>**15 ptsPoor** Provides brief responses to questions, but does not apply concepts presented in lectures and assigned readings. No analysis presented.<br> <br>**0 ptsDid Not Complete** Does not provide responses to questions. | 30 pts |
| This criterion is linked to a Learning OutcomeSolutions & Recommendations | **30 ptsExcellent** Solutions and recommendations are presented with comprehensive explanation. Alternatives are presented and evaluated. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**28 ptsVery Good** Solutions and recommendations are presented with explanation. Alternatives are presented. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**25 ptsGood** Solutions and recommendations are presented. Alternatives are presented. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**22 ptsFair** Solutions and recommendations are presented. Alternatives are presented. Concepts from lectures and assigned readings are not presented to support solutions and recommendations.<br> <br>**15 ptsPoor** Solutions and recommendations briefly stated. Alternatives are not presented. Concepts from lectures and assigned readings are not presented to support solutions and recommendations.<br> <br>**0 ptsDid Not Complete** Does not provide solutions or recommendations. | 30 pts |
| This criterion is linked to a Learning OutcomeProfessional Writing | **20 ptsExcellent** Content is well organized and professional tone is present utilizing professional language and terminology. No errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**18 ptsVery Good** Content is well organized and professional tone is present utilizing professional language and terminology. Minimal errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**16 ptsGood** Content is well organized and professional tone is present utilizing professional language and terminology. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**14 ptsFair** Missing 1 piece of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**10 ptsPoor** Content is organized. Professional tone and work choice could be improved. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are not listed and/or cited.<br> <br>**0 ptsDid Not Complete** Content is disorganized and professional tone could be improved. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are not listed and/or cited. | 20 pts |
Total Points: 100
**## CaseStudyInstruction.docx**
**_Case Study #3_**
**Jennie Maze Limited: Enhancing Call Center Performance Using Predictive Analytics**
Purpose
This case study assignment allows you to demonstrate your ability to apply evidence-based management concepts, assigned readings, and lecture content to investigate a real business problem, evaluate alternative solutions, and propose evidence-based recommendations. You will use the
**HBS case study method** and the provided dataset (BAB265-XLS-ENG.xlsx) to analyze challenges faced by Jennie Maze Limited in forecasting and managing call center performance.
📌 Instructions
1.
**Read the Case & Review the Data**
· Read the case materials for
_Jennie Maze Limited: Enhancing Call Center Performance Using Predictive Analytics_ available in the required coursepack.
· Open the accompanying Excel dataset (
[BAB265-XLS-ENG.xlsx](https://henderson.instructure.com/courses/24639/files/2662861?wrap=1) [Download BAB265-XLS-ENG.xlsx](https://henderson.instructure.com/courses/24639/files/2662861/download?download_frd=1)) and review its structure.
· Review the “Case Study Refresher” page posted earlier in this module.
2.
**Conduct the Analysis (in Excel)**
Use Excel to explore and analyze the dataset. You may use features such as
**sorting, filtering, descriptive statistics, pivot tables, and regression (via the Analysis ToolPak)** as needed.
3.
**Write Your Case Analysis (1–2 pages, max 500 words)**
Your submission should follow the structure below:
**I. Introduction**
· Identify the key business problem(s) facing Jennie Maze Limited.
**II. Background**
· Provide context, relevant facts, and a summary of the most important data issues or organizational challenges.
**III. Address Case Questions**
· What is the central business problem, and what predictive analytics approach would you recommend to solve it?
· What data inconsistencies did you identify, and how would you resolve them? Explain the structure of the data and describe how you would clean and prepare it for analysis.
**IV. Solutions & Recommendations**
· What next steps should Jennie Maze Limited take to create a fully functional and automated approach for forecasting call volume at its six U.S. call centers?
· Support your recommendations with evidence from Excel outputs (tables, graphs, descriptive results, or regression findings where applicable).
4.
**Formatting & Submission**
· Length:
**1–2 pages (maximum 500 words)**
· Format: Times New Roman, 12-point font, double-spaced
· File Type: .doc or .docx
· Upload to the
**Case Study #3 assignment**
· Include graphs, tables, or screen captures from Excel as appropriate.
🔍 Grading Criteria (100 points total)
·
**Introduction & Background (20 pts)** – Identifies the key problems, presents comprehensive background information and relevant facts.
·
**Address Questions (30 pts)** – Applies course concepts to provide thoughtful, evidence-based responses to case questions with analysis clearly demonstrated.
·
**Solutions & Recommendations (30 pts)** – Provides actionable and well-supported recommendations. Evaluates alternatives and connects solutions to predictive analytics concepts.
·
**Professional Writing (20 pts)** – Organized, clear, professional tone; minimal to no errors; sources cited if used.
**Case #3:**
**Jennie Maze Limited: Enhancing Call Center Performance Using Predictive Analytics**
**Case Questions:**
1. What is the business problem and what would be your predictive analytic approach to solving it?
2. What data inconsistencies did you find and how would you resolve them? Explain the structure of the data and how you would clean the data.
**Solutions and Recommendations:**
What are the next steps that should be completed to have a fully functional and automated approach for forecasting incoming call volume at each of the six call centers across the US?
**## CaseAnalysisRubric.docx**
**Case Analysis Rubric (EBM) (2)**
| | | |
| — | — | — |
| Case Analysis Rubric (EBM) (2) |
| **Criteria** | **Ratings** | **Pts** |
| This criterion is linked to a Learning OutcomeIntroduction/Background | **20 ptsExcellent** All information presented: key problems, background information, and relevant facts. Information presented is comprehensive and complete.<br> <br>**18 ptsVery Good** All information presented: key problems, background information, and relevant facts. Information presented is limited<br> <br>**16 ptsGood** All information presented: key problems, background information, and relevant facts. Information presented is limited and could be further developed.<br> <br>**14 ptsFair** Missing 1 piece of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**10 ptsPoor** Missing 2 pieces of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**0 ptsDid Not Complete** Does not present the key problems and issues. Does not present background information. Does not present relevant facts. | 20 pts |
| This criterion is linked to a Learning OutcomeAddress Questions | **30 ptsExcellent** Applies concepts presented in lectures and assigned readings to provide thoughtful responses to questions with comprehensive supporting evidence. Analysis is evident.<br> <br>**28 ptsVery Good** Applies concepts presented in lectures and assigned readings to provide brief responses with limited supporting evidence. Analysis could be further developed.<br> <br>**25 ptsGood** Applies concepts presented in lectures and assigned readings to provide brief responses. No analysis presented.<br> <br>**22 ptsFair** Minimally applies concepts presented in lectures and assigned readings to provide brief responses to questions. No analysis presented.<br> <br>**15 ptsPoor** Provides brief responses to questions, but does not apply concepts presented in lectures and assigned readings. No analysis presented.<br> <br>**0 ptsDid Not Complete** Does not provide responses to questions. | 30 pts |
| This criterion is linked to a Learning OutcomeSolutions & Recommendations | **30 ptsExcellent** Solutions and recommendations are presented with comprehensive explanation. Alternatives are presented and evaluated. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**28 ptsVery Good** Solutions and recommendations are presented with explanation. Alternatives are presented. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**25 ptsGood** Solutions and recommendations are presented. Alternatives are presented. Concepts from lectures and assigned readings are presented to support solutions and recommendations.<br> <br>**22 ptsFair** Solutions and recommendations are presented. Alternatives are presented. Concepts from lectures and assigned readings are not presented to support solutions and recommendations.<br> <br>**15 ptsPoor** Solutions and recommendations briefly stated. Alternatives are not presented. Concepts from lectures and assigned readings are not presented to support solutions and recommendations.<br> <br>**0 ptsDid Not Complete** Does not provide solutions or recommendations. | 30 pts |
| This criterion is linked to a Learning OutcomeProfessional Writing | **20 ptsExcellent** Content is well organized and professional tone is present utilizing professional language and terminology. No errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**18 ptsVery Good** Content is well organized and professional tone is present utilizing professional language and terminology. Minimal errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**16 ptsGood** Content is well organized and professional tone is present utilizing professional language and terminology. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are listed and cited.<br> <br>**14 ptsFair** Missing 1 piece of information—does not present key problems, background information, or relevant facts. Information presented is limited and could be further developed.<br> <br>**10 ptsPoor** Content is organized. Professional tone and work choice could be improved. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are not listed and/or cited.<br> <br>**0 ptsDid Not Complete** Content is disorganized and professional tone could be improved. Multiple errors in word usage, sentence structure, grammar, punctuation, and capitalization. References (if necessary) are not listed and/or cited. | 20 pts |
Total Points: 100
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