What is Schedule Variance?

Schedule variance is the difference between planned and actual progress, expressed in earned-value terms, and signals whether a project is ahead of or behind plan. It gives an early, quantified warning of slippage before deadlines are missed. It requires disciplined earned-value data to be meaningful. For context, zero or positive means on or ahead of schedule; a persistent negative variance flags a project trending late. Treat an external benchmark as a reference point rather than a universal target: company stage, sector, customer mix, pricing model and measurement definitions can materially change what “good” looks like. Read Schedule Variance alongside Cost Variance and On-Time Completion; together these measures provide a more balanced view and reduce the risk of optimizing one number at the expense of the wider outcome.

Define every included record and value consistently, and reconcile the total to its source system before comparing periods. Use the approved baseline, current status date and consistent earned-value or completion rules across workstreams. Apply the same baseline, status date and scope rules throughout the reporting period, and review the metric at workstream level before relying on a portfolio total. A dashboard should show the current value, prior-period comparison and a trend rather than presenting one isolated reading.

Use variance analysis to identify the affected scope, dependency and owner, then reforecast from current evidence rather than preserving an outdated baseline through optimistic assumptions. Common pitfalls: requires disciplined EVM data. Record the definition beside the dashboard, review it when systems or processes change, and annotate unusual events so future readers can distinguish a genuine performance shift from a data or timing effect.