HKSM Books Project Management with AI: From Initiation to Closing EVM Forecasting — Projecting the Finish

EVM Forecasting — Projecting the Finish

The Question EVM Was Built to Answer

Every sponsor eventually asks the same question: "Given where we are, where is this project going to finish?" Not "what did we spend last month?" — that's the budget report's job. The question that actually drives decisions is whether the final cost and completion date will match what was approved, and if not, by how much and why. The four core metrics from the previous chapter tell you where the project stands right now. The forecasting metrics covered in this chapter tell you where it is heading — and what it would take to change that trajectory. This is where EVM earns its reputation as a decision-making tool rather than a reporting exercise.

Continuing the Riverside Example

Recall the Riverside Community Center at month six of twelve: Budget at Completion (BAC) is $1,200,000. The three measured values are PV = $650,000, EV = $540,000, AC = $600,000. The calculated results were CPI = 0.90 and SPI = 0.83. The project is overspending relative to progress and falling behind schedule. The sponsor's immediate question is what this means for the final cost and schedule. The forecasting metrics answer it.

Estimate at Completion — Three Methods

The Estimate at Completion (EAC) is a projection of the total cost the project will incur by the time it finishes. It is not a revised budget, and it is not a commitment. It is a forecast based on current performance data, and it changes as performance data changes. Three methods produce three different answers, and choosing the right one depends on understanding what caused the current variance.

Method Formula Use When Riverside Result
Method 1: One-Time Variance AC + (BAC − EV) Current variance is a one-time event unlikely to repeat; future work will perform as originally planned $600,000 + ($1,200,000 − $540,000) = $600,000 + $660,000 = $1,260,000
Method 2: Performance Trend BAC ÷ CPI Current cost efficiency will continue for the remainder of the project; this is the most commonly used method $1,200,000 ÷ 0.90 = $1,333,333
Method 3: Combined Trend AC + [(BAC − EV) ÷ (CPI × SPI)] Both cost and schedule inefficiency are affecting performance and both will continue; the most conservative estimate when both indices are below 1.0 $600,000 + [$660,000 ÷ (0.90 × 0.83)] = $600,000 + ($660,000 ÷ 0.747) = $600,000 + $883,400 = $1,483,400

Three methods, three different answers: $1,260,000, $1,333,333, and $1,483,400. The range is significant: the difference between the most optimistic and most pessimistic estimate is $223,400. Which one do you use? The answer requires judgment about what is driving the current variance. If a one-time disruption caused the overrun (an unusual material cost spike, a weather delay that won't recur), Method 1 may be appropriate. If the project has been consistently overrunning for several periods and there is no structural reason to expect performance to improve, Method 2 is the standard choice. Method 3 is used when both cost and schedule problems are compounding, particularly when the schedule delay is forcing more expensive parallel work or overtime. When in doubt, present two figures to the sponsor: Method 2 as the base case and Method 3 as the downside. Single-point EAC forecasts communicate false precision. Ranges communicate honest uncertainty.

Situation Method to Use
Current variance is a one-time event; future work is expected to perform as originally planned Method 1: AC + (BAC − EV)
Current cost efficiency is likely to continue for the remainder of the project Method 2: BAC ÷ CPI (most commonly used)
Both cost and schedule underperformance are compounding and expected to continue Method 3: AC + [(BAC − EV) ÷ (CPI × SPI)]
Variance cause is unclear or uncertainty is high Present Method 2 as the base case and Method 3 as the downside — do not collapse to a single number

Estimate to Complete

The Estimate to Complete (ETC) answers a different but related question: how much money is needed to finish the remaining work? Once you have the EAC, the calculation is straightforward.

ETC = EAC − AC

For the Riverside project using Method 2: ETC = $1,333,333 − $600,000 = $733,333. The project has spent $600,000. To complete the remaining work at current performance, it will need another $733,333. This is the number that drives budget conversations: is there $733,333 available to complete the project, or is a scope or budget adjustment required? ETC is also the number that gets compared against what the project originally planned to spend on the remaining work. The original plan assumed $600,000 remaining at month six ($1,200,000 − $600,000). The ETC forecast of $733,333 is $133,333 more than that. That gap is the operational reality the sponsor needs to plan around.

Variance at Completion

Variance at Completion (VAC) projects the total overrun or underrun at project close — the dollar difference between what was budgeted and what the current forecast predicts the project will cost.

VAC = BAC − EAC

For the Riverside project using Method 2: VAC = $1,200,000 − $1,333,333 = −$133,333. Negative VAC means the project is projected to finish over budget. Positive VAC means projected to finish under. At −$133,333, the project is tracking toward an 11% overrun from its approved budget. That number goes into the sponsor's risk register, the contingency conversation, and any contract discussions that hinge on the original budget commitment. VAC is the simplest way to communicate the scale of a projected budget problem without requiring the sponsor to calculate the gap themselves.

To-Complete Performance Index

The To-Complete Performance Index (TCPI) is one of the most revealing metrics in EVM, and one of the least commonly used. It answers the question: at what efficiency rate does the remaining work need to be performed to hit a target cost? It gives you a concrete, numerical answer to "can we still make it?"

There are two versions, depending on the target:

Target Formula Question It Answers Riverside Result
TCPI (Budget) (BAC − EV) ÷ (BAC − AC) What CPI is needed on remaining work to finish at the original budget (BAC)? ($1,200,000 − $540,000) ÷ ($1,200,000 − $600,000) = $660,000 ÷ $600,000 = 1.10
TCPI (Revised) (BAC − EV) ÷ (EAC − AC) What CPI is needed on remaining work to finish at the revised forecast (EAC)? ($1,200,000 − $540,000) ÷ ($1,333,333 − $600,000) = $660,000 ÷ $733,333 = 0.90

The TCPI(Budget) result of 1.10 is the number that tells the real story. The project is currently performing at a CPI of 0.90 — getting 90 cents of value for every dollar spent. To finish within the original budget, the remaining six months of work need to perform at a CPI of 1.10. That requires a 22% improvement in cost efficiency from a project that has been consistently underperforming. The question to put to the sponsor is direct: is there a credible reason to believe the project will suddenly improve its cost efficiency by 22% for the rest of its duration? If the answer is no, the original budget is not recoverable, and the conversation should shift to the EAC forecast instead. A required CPI above current performance is not automatically impossible, but it demands a credible operational change. Hope is not a recovery plan.

The TCPI(Revised) result of 0.90 tells a more achievable story: to finish at the Method 2 EAC of $1,333,333, the project needs to continue at exactly its current CPI of 0.90. That is realistic. A sponsor choosing between "we need 1.10 efficiency to hit the original budget" and "we need 0.90 efficiency to hit the revised forecast" has a clear picture of the tradeoff. That is a real decision, made with real numbers. That is what EVM is for.

Percentage Variance Metrics

Cost Variance and Schedule Variance in dollar terms are useful for a specific project. When comparing performance across projects of different sizes, or when reporting to stakeholders who want a scale-independent measure, the percentage variants are more meaningful.

Metric Formula Riverside Calculation Result
CV% (Cost Variance Percentage) CV ÷ EV −$60,000 ÷ $540,000 −11.1% — spending 11% more than the work is worth
SV% (Schedule Variance Percentage) SV ÷ PV −$110,000 ÷ $650,000 −16.9% — completing about 17% less work than planned by this date

A CV% of −11.1% is interpretable even without knowing the project's size. An executive overseeing a portfolio of projects can scan percentage variance across all projects and see immediately which ones need attention. A $60,000 overrun on a $1.2M project and a $60,000 overrun on a $200,000 project look identical in dollar terms but are very different in scale. CV% and SV% make the comparison fair.

The Complete Riverside Forecast Summary

Metric Value Plain-Language Summary
CPI 0.90 Getting 90 cents of value per dollar spent
SPI 0.83 Completing work at 83% of the planned rate
EAC (Method 2) $1,333,333 Projected final cost if current efficiency continues
ETC $733,333 Additional funding needed to complete at current performance
VAC −$133,333 Projected overrun versus approved budget
TCPI (Budget) 1.10 Efficiency required to finish at original budget — requires 22% improvement from current 0.90
TCPI (Revised) 0.90 Efficiency required to finish at EAC forecast — matches current performance
CV% −11.1% Overspending relative to progress at an 11% rate
SV% −16.9% Approximately 17% behind on completing planned work

Presenting Forecasts to Sponsors

Before presenting any EAC, confirm the inputs are reliable. EV must be based on objective completion measurements, not self-reported team estimates. AC must include committed and accrued costs, not just paid invoices. A precise-looking forecast built on loose EV or incomplete AC is not a forecast. It is a calculation performed on guesswork. The math will be correct. The answer will not be.

A complete EVM forecast should never arrive as a single number. Single-point forecasts communicate false precision. A sponsor who is told "the project will finish at $1,333,333" will hold the PM to that number. What that number actually represents is a projection based on current performance, which will change as performance changes. The more honest and more useful presentation is a range: the Method 1 estimate as the optimistic case (if the variance is a one-time event), the Method 2 estimate as the base case (if current efficiency continues), and the Method 3 estimate as the downside (if both cost and schedule underperformance compound). Three numbers with an explanation of the assumptions behind each allows the sponsor to make a real decision about which scenario they think is most likely and what actions, if any, are warranted.

For the Riverside project, that conversation looks like this: "At current performance, the forecast range is $1,260,000 to $1,483,400, with a base case of $1,333,333. To finish at the original budget, the remaining work would need to perform at a CPI of 1.10, significantly above our current 0.90. The more achievable target is the base case. What I need from you is a decision on whether to release contingency, adjust scope, or explore other recovery options for the remaining six months." That conversation gives the sponsor real information and a clear decision to make. Structuring sponsor forecast updates consistently helps — a simple five-field format keeps the conversation focused:

  • Current status. Where the project stands today: CPI, SPI, and a one-sentence summary.
  • Forecast range. Optimistic, base, and downside EAC with the assumption behind each.
  • Key assumption. What has to be true for the base case to hold.
  • Decision needed. The specific question the sponsor must answer: release contingency, defer scope, accept the overrun, or other.
  • Decision by. When you need the answer to keep the project moving.

That is the difference between EVM as a reporting tool and EVM as a management tool.

What's Next

The next chapter, EVM in Practice, covers how to use these metrics effectively over time — including the common mistakes that undermine EVM even when the math is correct, how to interpret trends rather than snapshots, and how AI tools can extend what EVM tells you from description to diagnosis.

Reflect

  • For the Riverside Community Center: TCPI(Budget) is 1.10 and current CPI is 0.90. What specific changes to project execution would you propose to the sponsor as paths toward that improvement? Are any of them realistic on a construction project six months in?
  • Which EAC method would you use for the Riverside project, and why? What additional information about the project would change your choice?
  • Think of a project where you presented a single-number cost forecast to a sponsor. What would have been different if you had presented a range with three scenarios and explicit assumptions? How would the sponsor's decision-making have changed?
  • ETC tells you how much money is needed to complete the remaining work. How does comparing ETC against the originally planned remaining budget change the conversation with a sponsor versus presenting EAC alone?

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