Earned Value Management Course

Lesson 1 • Key EVM Terminology

Defines the essential vocabulary required to read and produce EVM reports. Precise terminology prevents misinterpretation of performance data throughout the course.

Lesson 2 • The Triple Constraint and EVM

Connects scope, schedule, and cost integration to EVM logic. Shows how EVM quantifies trade-offs among the three constraints simultaneously.

Lesson 3 • EVM Applicability Across Project Types

Examines where EVM adds the most value and where constraints limit its use. Learners assess project characteristics that determine EVM suitability.

Lesson 1 • Scheduling the Baseline

Converts the WBS into a time-phased schedule that supports Planned Value calculation. Logical sequencing and resource loading are prerequisites for accurate EVM data.

Lesson 2 • Budgeting and Time-Phasing Costs

Distributes the authorized budget across time to create the Planned Value curve. Proper time-phasing prevents misleading early or late cost profiles.

Lesson 3 • Validating the PMB

Applies integrity checks to confirm the PMB is complete, traceable, and realistic. A validated PMB is the prerequisite for meaningful EVM measurement.

Lesson 4 • Work Breakdown Structure Essentials

Establishes the WBS as the scope decomposition tool that drives all EVM planning. A well-formed WBS ensures every dollar and schedule activity maps to deliverables.

Lesson 1 • Discrete Earning Methods

Covers objective techniques for work packages with measurable, verifiable outputs. Selecting the right discrete method ensures EV reflects true physical progress.

Lesson 2 • Applying Earning Rules Consistently

Establishes governance for selecting and documenting earning methods across the project. Consistency prevents gaming and ensures comparability of performance data over time.

Lesson 3 • Concept of Earned Value

Defines Earned Value as the budgeted cost of work performed, distinct from actual spending. This distinction is the conceptual core that separates EVM from simple budget tracking.

Lesson 1 • Schedule and Cost Variances

Derives SV and CV from PV, EV, and AC to quantify schedule and cost deviations. Positive and negative variance values are interpreted in the context of project health.

Lesson 2 • Schedule and Cost Performance Indices

Calculates SPI and CPI as efficiency ratios that normalize performance across project size. Indices enable cross-project benchmarking and trend analysis.

Lesson 3 • Cumulative vs. Periodic Metrics

Distinguishes between cumulative and period-specific EVM data for different analytical purposes. Cumulative indices are more stable; periodic data reveals recent performance shifts.

Lesson 1 • To-Complete Performance Index

Calculates TCPI to determine the efficiency required to meet a cost target. TCPI reveals whether a budget or EAC goal is realistically achievable.

Lesson 2 • EAC Formula Variations

Presents the four standard EAC formulas and the performance assumptions each embeds. Selecting the wrong formula produces misleading forecasts and poor decisions.

Lesson 3 • Schedule Forecasting with EVM

Extends EVM into time-based forecasting using Earned Schedule methodology. Learners calculate Estimated Duration and compare it to the planned completion date.

Lesson 4 • Forecast Confidence and Uncertainty

Addresses the statistical reliability of EVM forecasts and how to communicate uncertainty. Ranges and confidence intervals prevent false precision in sponsor reporting.

Lesson 1 • Corrective Action Planning

Translates variance root causes into specific, time-bound corrective actions. Effective corrective actions address causes, not symptoms, and are tracked to closure.

Lesson 2 • Management Reserve Utilization

Governs the conditions and process for drawing on management reserve to address unforeseen scope. Proper MR usage preserves baseline integrity and avoids masking true performance.

Lesson 3 • Cost Variance Root Cause Categories

Classifies cost variance drivers into labor, material, overhead, and estimating error categories. Categorization focuses corrective action on the actual source of the problem.

Lesson 4 • Schedule Variance Root Cause Analysis

Investigates why earned value lags planned value using schedule logic and resource data. Schedule variance root causes often differ from cost variance drivers.

Lesson 1 • Narrative Reporting Best Practices

Structures written variance analysis narratives to be concise, factual, and action-oriented. Strong narratives complement quantitative data and prevent ambiguous status interpretation.

Lesson 2 • Tailoring Reports to Audiences

Adapts EVM content and detail level to executive, management, and technical audiences. Mismatched detail causes disengagement or misinterpretation of project status.

Lesson 3 • Graphical EVM Displays

Covers S-curves, performance index trend charts, and variance trend charts as visual tools. Effective visuals accelerate stakeholder comprehension and highlight emerging problems early.

Lesson 1 • EVM Standards and Compliance

Reviews internationally recognized EVM guidelines and the 32 criteria they establish. Compliance with these criteria is often contractually mandated on government and major programs.

Lesson 2 • EVM System Design Principles

Outlines the organizational, process, and tool requirements for a compliant EVM system. System design decisions made early determine the quality of performance data throughout the project.

Lesson 3 • Continuous Improvement of EVM Systems

Applies lessons learned and process metrics to mature the EVM system over time. Continuous improvement sustains EVM value beyond initial implementation.

Lesson 4 • Data Integrity and Audit Readiness

Defines practices that ensure EVM data is accurate, timely, and auditable at all times. Audit readiness protects the organization during contractual reviews and program assessments.