Week 3 Assignment: Case Study – Calculate and Interpret EVM Metrics for a Mid-Project Scenario
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Purpose
The purpose of this assignment is to develop your ability to apply Earned Value Management (EVM) fundamentals by calculating key metrics, analyzing variances and performance indices, and interpreting results to assess the current health of a mid-project scenario.Assignment Description
You are provided with data from a mid-project scenario (or you may use the data provided in the course shell). Analyze the project’s performance by calculating and interpreting the core EVM metrics.Required Sections (Use these Headings)1. Introduction
Briefly describe the project scenario and the importance of EVM analysis at the mid-project point.2. Data Overview
Present the given project data clearly (Planned Value, Earned Value, Actual Cost, Budget at Completion, etc.).3. EVM Calculations
Calculate the following metrics: Schedule Variance (SV)
Cost Variance (CV)
Schedule Performance Index (SPI)
Cost Performance Index (CPI)
Show all calculations step-by-step.4. Interpretation and Analysis
Interpret each calculated metric. Clearly state whether the project is ahead or behind schedule, under or over budget, and what the performance indices indicate about efficiency.5. Recommendations
Based on your analysis, recommend at least two specific corrective actions the project manager should take to improve cost and/or schedule performance.6. Conclusion
Summarize the current project status and the value of using EVM for mid-project control.Assignment Requirements Length: 3–4 pages (body of the paper)
Format: APA 7th edition (title page, level 1 headings, in-text citations, reference page)
Include a clear table summarizing the given data and your calculations
Minimum of 3 scholarly references (course textbook + 2 additional credible sources)
Scholarly writing: Clear, professional tone with proper grammar and mechanics.
Grading Rubric Highlights Accurate and complete EVM calculations with step-by-step work (35%)
Thorough and correct interpretation of all metrics (30%)
Practical and relevant corrective action recommendations (20%)
APA formatting, table quality, references, and writing quality (15%)
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