The reliable way to find a project that is falling behind is to make two separate checks: compare completed work with the approved plan, then determine whether any variance moves the forecast finish date. Earned-value measures such as schedule variance (SV) and schedule performance index (SPI) reveal performance against planned work; the critical path, remaining durations, dependencies and forecast milestones reveal delivery risk. Treat every metric as a signal to investigate, not as a diagnosis.
What “behind” means: two tests, not one
A project can be behind the amount of work it planned to complete by today without being late at delivery. For example, a noncritical activity may be late while several days of float protect the final milestone. The reverse can also happen: a project may show acceptable aggregate progress while one critical-path activity slips and pushes the finish date.
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Use these two tests in order:
- Performance against the plan: Is the project earning less completed work than the approved baseline expected by the status date?
- Impact on delivery: Has the variance consumed float, moved a critical-path activity, or changed the forecast finish date or a downstream milestone?
The first test finds slippage in planned work. The second determines whether that slippage threatens the outcome stakeholders care about.
Start with a trustworthy baseline and status date
Before calculating a variance, confirm that the comparison point is real. The U.S. Government Accountability Office describes a reliable schedule as a tool for measuring performance against an approved plan and evaluating changes and schedule risk. See the GAO Schedule Assessment Guide.
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Confirm the approved baseline
- Identify the formally approved schedule or performance measurement baseline, including planned start and finish dates, durations, relationships and milestone dates.
- Check whether an authorized change reset any dates. A rebaselined plan is a new comparison point; do not mix it with the previous baseline without labeling the difference.
- Verify that calendars, working-time rules, scope and measurement rules are consistent with the baseline.
Set one status date
Every project in a portfolio should report progress through the same cut-off date where practical. Record the status date explicitly. A schedule updated on different dates can make a healthy project appear worse or a deteriorating project appear current.
Check update quality before trusting the result
Look for missing actual starts or finishes, activities that remain marked as in progress after work stopped, unchanged remaining durations, broken links and milestones with no predecessor logic. If progress data are stale or the baseline is not approved, label the result as low confidence and fix the data before ranking projects.
Measure work completed against work planned
When earned-value data are available and credible, use the definitions below. Planned value (PV) is the budgeted value of work scheduled to be complete by the status date. Earned value (EV) is the budgeted value of work actually completed by that date. These are value-based measures, not calendar-day measures.
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| Measure | Calculation | Interpretation at the status date |
|---|---|---|
| Schedule variance (SV) | EV − PV | A negative result means less budgeted work was earned than planned. The definition is documented by PMI. |
| Schedule performance index (SPI) | EV ÷ PV | Below 1.0 is unfavorable performance against planned work; 1.0 is on plan; above 1.0 is favorable. See PMI’s baseline-monitoring guidance. |
Illustrative calculation: if PV is 500,000 value units and EV is 450,000 at the status date, SV is −50,000 and SPI is 0.90. That says the project earned 90% of the value planned by that date. It does not say the finish date will be a specific number of days late.
Do not calculate SPI from percentages that use different scope or completion rules, and do not compare SPI values when one project has reliable earned-value measurement and another has rough percent-complete estimates. Record the measurement method and confidence beside the number.
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Determine whether the finish date is at risk
After finding an unfavorable work-performance signal, inspect the schedule network. PMI notes that SPI can fail to reflect critical-path performance, so pair the metric with the logic-driven schedule; see the Earned Value Body of Knowledge and Monitoring Performance Against Baseline.
Review the activities that control completion
- Compare the current critical path with the baseline critical path. Note activities that entered or left the path.
- Check actual starts and finishes against baseline dates.
- Re-estimate remaining durations using current evidence rather than automatically accepting the original duration.
- Inspect total and free float. A delay that consumes all available float is more urgent than the same delay on an activity with substantial float.
- Trace predecessor and successor links for every affected activity. A missing or incorrect relationship can hide a real finish-date impact.
- Review the forecast finish date and each downstream milestone, not only the final project end date.
Separate current variance from forecast impact
Use SV or SPI to say what has happened by the status date. Use the logic network and remaining work to say what is likely to happen next. A project can have negative SV with a forecast finish unchanged if recovery is feasible within float; it can also have near-neutral SV while a newly constrained critical activity threatens the finish.
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- Freeze the comparison point. Record the approved baseline name or revision, the status date, the current schedule version and any approved changes.
- Validate the data. Check calendars, scope, actual dates, remaining durations, links, milestones and progress rules. Flag missing or stale updates.
- Calculate planned-work variance. Where earned value is credible, calculate SV and SPI. Preserve the units and measurement basis; never relabel value variance as days.
- Inspect delivery logic. Review critical-path movement, float, dependencies, forecast finish and downstream milestones.
- Check trend. Compare at least the last several status dates. A worsening SPI, repeated forecast movement or steadily shrinking float is more concerning than a one-period anomaly, provided the baselines and status dates are comparable.
- Trace the largest material variance. Select the affected deliverable or milestone and ask its accountable owner to explain the cause, impact, corrective action and date for the next review.
- Record a decision. Classify the project as on track, watch, or requiring intervention only after considering performance, finish-date impact, risk and data confidence.
Investigate why the project is slipping
An indicator identifies where to look; it does not prove a cause. Use the following checks as an investigation menu, not as a statistically ranked or exhaustive taxonomy. The GAO guide emphasizes schedule logic, baselines and risk analysis as elements of reliable schedule management. A recent program-specific example is available in the GAO 2026 report; it should not be treated as a universal failure rate.
1. Test schedule logic and progress credibility
- Are predecessor and successor relationships complete and logically correct?
- Were actual dates entered from evidence such as acceptance, test completion or delivery records?
- Does the reported percent complete represent finished, accepted work, or merely effort spent?
- Were remaining durations updated after new information arrived?
If the schedule is structurally wrong, correcting the data may remove an apparent variance or reveal a larger one. Do not prescribe overtime until this check is complete.
2. Check dependencies and external handoffs
Ask which prerequisite is unavailable, who owns it, and what date is credible now. Examine procurement, approvals, customer decisions, interfaces, shared environments and predecessor projects. A dependency that is late but off the critical path may need monitoring; the same dependency feeding a zero-float milestone needs escalation.
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3. Examine resource constraints
Compare the required skills and capacity with actual availability. Look for scarce specialists assigned to several critical activities, late onboarding, planned leave, turnover, equipment limits and competing priorities. A resource shortage is a cause only when it explains the affected work and its timing; record that connection explicitly.
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Review active risks, issues and realized events against the activities they affect. Note probability, impact, trigger date, response owner and remaining exposure. Revisit assumptions about technology, supplier performance, approvals, test environments and data access when the forecast changes.
5. Check scope and approved changes
Determine whether new requirements, design revisions or quality rework entered the schedule. Distinguish authorized scope growth from execution failure. A moved target date caused by an approved change should be reported as a change effect, not silently labeled lateness against an obsolete plan.
Use an accountable variance statement
Require one concise record for every material variance:
- What: affected activity, deliverable or milestone.
- Cause: evidence-based reason, with unresolved assumptions called out.
- Impact: float consumed, forecast-date movement, cost exposure and affected downstream work.
- Action: specific corrective or preventive step, owner and due date.
- Next review: status date or trigger that will confirm whether the action worked.
Compare several projects consistently
Portfolio visibility depends more on consistent definitions than on a sophisticated score. Use the same status-date convention, baseline rules, variance definitions and confidence labels wherever possible. The panel below is a practical editorial synthesis, not a validated universal weighting system.
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| Review dimension | What to capture | Why it matters |
|---|---|---|
| Forecast finish variance | Current forecast finish minus baseline finish, with the milestone or date convention stated | Shows direct delivery exposure. |
| Critical-path position | Critical-path movement, float and affected downstream milestones | Distinguishes visible work variance from finish-date threat. |
| Trend | Changes in SPI/SV, forecast finish and float across comparable status dates | Separates a one-period event from deterioration. |
| Cost efficiency | CPI or another approved cost-performance measure where applicable | Schedule slippage can create cost exposure; the GAO guide recommends considering the relationship between schedule risk and cost. |
| Risk exposure | Open high-impact risks, realized issues, response status and dependency health | Shows what could move the forecast next. |
| Data confidence | Baseline approval, update freshness, logic quality and measurement method | Prevents false precision and tells leaders where validation is needed. |
One simple review board can flag projects when any of these conditions occurs: forecast finish moves beyond an agreed tolerance; float reaches zero or falls below the project’s threshold; SPI is below 1.0 with credible EV and PV; a critical dependency has no credible recovery date; cost efficiency and schedule performance deteriorate together; or data confidence is too low to support a decision. Set tolerances locally and publish them; the sources do not establish a universal scoring threshold beyond the SPI definition.
Choose a response only after diagnosis
Match the action to the constraint. Adding people or authorizing overtime is not automatically a remedy: it can increase coordination and rework when the bottleneck is an approval, dependency, design decision or test environment.
When the work can be changed
- Re-sequence activities only after checking logic, safety, quality and contractual constraints.
- Fast-track overlapping work when the required information is stable and the added rework risk is accepted.
- Assign additional capacity when the work is divisible, the needed skills are available and onboarding will not consume the saved time.
- Reduce or defer scope only through the project’s change-control process.
When the constraint cannot be changed
Protect the controlling milestone, escalate the dependency with a decision date, revise the forecast transparently and quantify the consequence. The GAO guide notes that schedule slippage can affect cost and that schedule-risk analysis can help quantify the relationship. Do not hide a moved target by changing the baseline without approval.
Set the next control point
Every intervention needs an observable result: a dependency decision received, a remaining duration re-estimated, a test passed, a milestone recovered or a forecast stabilized. Assign one owner and a date. At the next status update, compare the result with the stated expectation rather than merely reporting that an action occurred.
Use tools to preserve the evidence trail
A spreadsheet or scheduling system is useful when it preserves baselines, dependencies, status dates, actuals, remaining durations and variance history. Microsoft’s documentation on integrating variance tracking into project change management describes one approach to recording baseline-versus-current variance and linking it to change control. The specific software is less important than consistent data discipline.
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At minimum, retain:
- the approved baseline and every authorized revision;
- status-date snapshots, including prior forecast finishes;
- actual and remaining dates with the person or team that supplied them;
- critical-path and float views;
- SV/SPI calculations and the EV/PV measurement rules, when used;
- variance statements, decisions, owners and due dates.
Worked example: a low SPI that does not automatically mean a late finish
Suppose a project’s status date is 30 June. Its approved baseline planned 500,000 value units of work by that date, but credible measurement shows 450,000 earned. SV is −50,000 and SPI is 0.90, so performance against planned work is unfavorable.
The schedule review finds that the delayed work is documentation on a path with 12 working days of float. The critical path has not moved, the forecast finish remains 15 September, and the owner has a dated recovery plan to complete the documentation within the available float. The project should be flagged for investigation and monitored, but the evidence does not establish a finish-date delay.
In a second project, PV and EV are nearly equal, yet a supplier handoff feeding the final integration milestone is five days late. The handoff is on the critical path with no float, and the forecast finish moves five days. Aggregate earned-value performance looks acceptable, but delivery is at risk. The critical-path evidence should drive escalation.
Common mistakes that produce misleading answers
- Calling SPI “days late.” SPI is a ratio of earned to planned value. Use schedule dates and logic to quantify calendar impact.
- Using a stale baseline. A comparison to an obsolete or unapproved plan is not a reliable performance test.
- Ranking projects by one metric. SPI can miss critical-path exposure; a finish-date view without data-confidence checks can reward poor updating.
- Comparing incompatible measurements. Do not place a detailed earned-value project beside a rough percent-complete project without labeling the difference.
- Ignoring approved change. Separate scope or target changes from execution variance and preserve both the original and current baselines.
- Diagnosing from the dashboard alone. Interview the accountable owner and inspect evidence for dependencies, resources, risks, logic and remaining work.
- Applying a generic cure. More staff, overtime or re-sequencing only helps when it changes the actual constraint.
- Failing to set a follow-up date. An action without a measurable review point cannot demonstrate recovery.
A compact review checklist
- Is there an approved baseline and a single, stated status date?
- Are scope, calendars, actuals, remaining durations and logic current?
- What are EV, PV, SV and SPI, and how trustworthy are their inputs?
- Which activities and milestones control the finish date?
- What happened to float, dependencies and the forecast finish?
- What evidence supports the stated cause?
- What cost, risk and downstream effects follow from the variance?
- What action, owner, success measure and next review date are recorded?
The Bottom Line
Find falling-behind projects by combining a credible baseline, status-date performance measures and a logic-driven finish-date review. SPI or SV can identify unfavorable progress, but only critical-path analysis, forecast dates and verified causes tell you whether delivery is actually threatened and what response is justified.
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