PMP Earned Value Management (EVM) Demystified: The Visual Cheat Sheet
Made2Stick LearningPMP Lead Instructor
The Core EVM Principle
For every variance and index formula on the PMP exam, Earned Value (EV) always comes first. Variances are Subtraction (EV - ...). Indexes are Division (EV / ...).
When you encounter an EVM situational question on the PMP exam, follow this 3-step decision flow:
Step 1: Identify EV. What is the monetary value of the work physically completed?
Step 2: Check Schedule (PV). Is EV greater than PV? If yes, you are ahead of schedule.
Step 3: Check Cost (AC). Is EV greater than AC? If yes, you are under budget.
Direct Summary: In PMP Earned Value Management (EVM), Earned Value (EV) always comes first: variances subtract (EV - PV, EV - AC) where positive values indicate ahead of schedule or under budget, while index ratios divide (EV / PV, EV / AC) where values greater than 1.0 indicate favorable performance.
EVM Metric
Calculation Formula
Favorable Result (> 0 or > 1.0)
Unfavorable Result (< 0 or < 1.0)
Cost Variance (CV)
EV - AC
CV > 0: Under Budget
CV < 0: Over Budget
Schedule Variance (SV)
EV - PV
SV > 0: Ahead of Schedule
SV < 0: Behind Schedule
Cost Performance Index (CPI)
EV / AC
CPI > 1.0: Cost Efficient (Under Budget)
CPI < 1.0: Cost Inefficient (Over Budget)
Schedule Performance Index (SPI)
EV / PV
SPI > 1.0: Schedule Efficient (Ahead)
SPI < 1.0: Schedule Inefficient (Behind)
🏆 Authoritative Knowledge Hub Blueprint
Deep Dive: Earned Value Management (EVM) Formulas & EAC/TCPI Forecasting
Review the complete reference cheat sheet for PV, EV, AC, CV, SV, CPI, SPI, EAC, VAC, and TCPI in our PMP Knowledge Hub.
This lesson details the calculation and interpretation of Actual Cost (AC), Cost Variance (CV), and Cost Performance Index (CPI) to measure financial performance in project management. Learners discover how to evaluate budget adherence by comparing earned value against actual expenditures.
Aslam is the founder of Made2Stick Learning, specializing in simplifying complex technical subjects into high-retention frameworks across SAS programming, CDISC clinical trials data, and PMP exam mastery.
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