Project Revive LLC AI-Driven Quality Turnaround Strategy
As a consultant with Project Revive LLC, you will analyze and manage a failed project from NearlyFree.com, which originally aimed to develop and deploy an AI-powered web-based training system for new employees.
You will conduct an AI-enhanced quality analysis to:
- Evaluate quality management failures and their impact on project success.
- Identify key quality assurance gaps and propose AI-driven process improvements.
- Develop an AI-enhanced quality assurance plan for successful project recovery.
Conduct an AI-Enhanced Quality Analysis of the Failed Project
Using AI-powered quality management tools, you will:
- Analyze the quality assurance plan of the failed project and its compliance with quality standards.
- Evaluate AI-driven quality control solutions that could have mitigated project failures.
- Use predictive analytics to assess project risks and suggest process improvements.
Key Analysis Areas
- Evaluate quality standards applied in the failed project and identify gaps.
- Analyze the product quality using AI-driven defect detection and compliance tracking tools.
- Recommend additional AI-powered quality standards to improve future project outcomes.
Develop an AI-Powered Quality Assurance Plan for the Turnaround Project
To convince NearlyFree.com management that the new employee orientation (NEO) project turnaround will be successful, develop an AI-driven QA plan that includes:
- AI-powered defect detection mechanisms for proactive issue identification.
- Automated compliance tracking using machine learning models.
- AI-driven root cause analysis to prevent recurring quality issues.
- A cost of quality (COQ) analysis integrating AI-enhanced quality cost optimization models.
Key Deliverables
- Develop a new AI-powered quality assurance plan for planned and systematic activities.
- Explain how AI-enhanced quality assurance tools support project quality and optimize efficiency.
- Assess the long-term impact of AI-driven quality management solutions on future project outcomes.
AI-Powered Quality Management Enhancements
Use AI-driven tools to:
- Automate quality control processes and reduce manual errors.
- Utilize machine learning for predictive defect detection and quality improvement.
- Enhance real-time quality monitoring with AI-powered dashboards.
- Implement AI-based process automation for QA workflows.
Added from Professor:
Paper Structure + Tips
- Include a formal title page
- Provide a brief project scope summary
- Body of the Paper
- Use section sub-headings aligned to the Unit 6 Scoring Guide, it will help keep your writing focused and organized.
- Remember, the assignment has two major parts
- Part 1 Quality Plan Analysis
- Put on your detective hat!
- Analyze the failed project by:
- Reviewing the quality standards that were defined
- Evaluating product quality based on those standards
- Recommending additional or improved quality standards
- Part 2 Quality Assurance Plan
- Your mission: Convince NearlyFree.com leadership that the NEO project can succeed! Show how youd turn it around by:
- Creating a Cost of Quality (COQ) analysis
- Developing a new Quality Assurance Plan (planned + systematic activities)
- Explaining how this QA plan improves project quality
- Considering how quality will be supported throughout the project lifecycle
- Stepping into the shoes of the project manager
- Wrap-Up End your paper with:
- A summary of key points
- Lessons learned or challenges encountered
- Areas for future research
- References (APA formatted)
Week 6 Assignment: AI-Enhanced Quality Analysis and Assurance EvaluationCriteriaRatingsPtsAnalyze quality standards of a failed project.
27.2 to >23.12 pts
DISTINGUISHED
Evaluates product quality based on quality standards; describes gaps and opportunities for improvement.
23.12 to >19.04 pts
PROFICIENT
Analyzes quality standards of a failed project.
19.04 to >0 pts
BASIC
Describes quality standards applicable to the failed project.
0 pts
NON_PERFORMANCE
Does not describe quality standards applicable to the failed project.
/ 27.2 pts
Analyze the product quality using the selected quality standards.
27.2 to >23.12 pts
DISTINGUISHED
Analyzes the product quality using the selected quality standards related to materials, product components, production services, and inspection.
23.12 to >19.04 pts
PROFICIENT
Analyzes the product quality using the selected quality standards.
19.04 to >0 pts
BASIC
Identifies the quality standards, but does not analyze the product quality according to those standards.
0 pts
NON_PERFORMANCE
Does not analyze the product quality using the selected quality standards.
/ 27.2 pts
Recommend additional quality standards for the turnaround project.
27.2 to >23.12 pts
DISTINGUISHED
Recommends additional quality standards for the turnaround project and provides rationale.
23.12 to >19.04 pts
PROFICIENT
Recommends additional quality standards for the turnaround project.
19.04 to >0 pts
BASIC
Recommends additional quality standards, but includes standards that are not relevant to the project.
0 pts
NON_PERFORMANCE
Does not recommend quality standards.
/ 27.2 pts
Analyze the quality assurance plan for a failed project.
27.2 to >23.12 pts
DISTINGUISHED
Analyzes a quality assurance plan; examines and explains how the quality assurance plan supports quality throughout the project.
23.12 to >19.04 pts
PROFICIENT
Analyzes the quality assurance plan for a failed project.
19.04 to >0 pts
BASIC
Describes the quality assurance plan for a failed project.
0 pts
NON_PERFORMANCE
Does not analyze the quality assurance plan for a failed project.
/ 27.2 pts
Develop a new quality assurance plan for planned and systematic activities.
25.6 to >21.76 pts
DISTINGUISHED
Develops a new, comprehensive quality assurance plan for planned and systematic activities; addresses processes, metrics, and documentation in the plan.
21.76 to >17.92 pts
PROFICIENT
Develops a new quality assurance plan for planned and systematic activities.
17.92 to >0 pts
BASIC
Describes how the new quality assurance plan can support project quality.
0 pts
NON_PERFORMANCE
Does not develop a new quality assurance plan for planned and systematic activities.
/ 25.6 pts
Prepare a cost of quality (COQ) analysis.
25.6 to >21.76 pts
DISTINGUISHED
Prepares a cost of quality (COQ) analysis using a common method and relevant data, such as prevention cost, appraisal cost, internal failure cost, and external failure cost; explains analysis method, data, and implications.
21.76 to >17.92 pts
PROFICIENT
Prepares a cost of quality (COQ) analysis.
17.92 to >0 pts
BASIC
Prepares a cost (COQ) analysis. but does not complete the analysis using a common method or relevant data.
0 pts
NON_PERFORMANCE
Does prepare a cost (COQ) analysis.
/ 25.6 pts

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