Domain 2 of 3 · Chapter 9 of 10

Evaluating Project Status

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Included in this chapter:

  • Reading status: actual versus a baseline
  • Earned value: the three totals and variance gaps
  • The metric family: variances, indices, forecasts
  • Measuring adaptive and flow status
  • Artifacts, reconciliation, and communicating status
  • Exam-pattern recognition

Status measurement by delivery approach

AspectPredictive (earned value)Iteration-based adaptiveFlow-based (Kanban)
Unit of progressBudgeted value of completed work (EV)Accepted increments per iterationCompleted work items
Core metricsCV = EV - AC; SV = EV - PV; CPI = EV / AC; SPI = EV / PVVelocity; iteration burndownCycle time; lead time
Forecast the finishEAC = BAC / CPI; VAC = BAC - EACRemaining work vs. team cadenceCycle- and lead-time trend
Baseline requiredYes: integrated scope-schedule-costNo: inspect working incrementsNo: measure flow directly
Best chartS-curve of PV, EV, AC over timeBurndown / burnup chartCumulative flow diagram (CFD)
Breaks whenNo baseline existsPercent-complete claimed, nothing demoableVelocity forced on continuous flow

Decision tree

Baseline established?(scope-schedule-cost)Measure empiricallyworking increments;set the baseline firstPredictive or adaptive?NoYesEarned valueCV, SV, CPI, SPIforecast EAC, VACIteration or flow?PredictiveAdaptiveBurndown / burnupper iterationFlow diagram (CFD)cycle & lead timeIterationFlowAlways: reconcile sources, validate AI output, report vs. baseline tailored to the audience

Cheat sheet

  • Cost variance compares earned value to actual cost
  • Schedule variance compares earned value to planned value
  • Earned value requires a performance measurement baseline
  • A CPI below 1.0 signals cost inefficiency
  • Estimate at completion forecasts final cost from performance to date
  • Variance at completion projects the final budget overrun
  • SPI = EV / PV; below 1.0 means behind schedule
  • Adaptive status comes from working increments, not percent-complete
  • Burn charts and cumulative flow diagrams expose delivery health
  • Lead and cycle time quantify speed in flow systems
  • Report status against the baseline, including bad news, transparently
  • Tailor the status metric and detail to the audience
  • Tailor which artifacts the project maintains to its needs
  • Artifacts must be current, reviewed, and accessible to be useful
  • Continually assess whether artifact management still serves the project
  • The project manager validates AI-generated status before acting
  • Reconcile status metrics across data sources for a reliable picture

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References

  1. PMP Examination Content Outline (2026)
  2. Earned value management systems (EVMS) Blog
  3. How Do You Decide Which Project Delivery Approach to Take? Blog
  4. The 2020 Scrum Guide Whitepaper
  5. Metrics for agile projects Blog
  6. Utilizing Agile Principles Alongside the PMBOK Guide Blog
  7. Advance Agile Project Management Using Kanban Blog
  8. Brain Power (machine learning and decision making) Blog
  9. Anatomy of an Effective Status Report Blog