The S-curve analysis measures cumulative cost, effort, or advancement over time. It is commonly used to assess performance in high-cost, resource-intensive projects.
- 
Step 1: Collect baseline data
- 
Plot the planned value (PV) cumulatively over time (usually weekly or monthly)
 
- 
Use the project's budget, work breakdown structure, and projected timelines
 
 
- 
Step 2: Collect actual data
 
- 
Step 3: Plot the S-curve
- 
PV, EV, and AC are placed on the same graph to produce the S-curve
 
- 
The shape often begins slowly, accelerates in the center, and then levels out towards completion
 
 
- 
Step 4: Analyze variances
- 
If EV < PV → scheduling delay
 
- 
If AC is more expensive than EV, the cost will increase
 
- 
Key indicators are schedule variance (SV = EV - PV) and cost variance (CV = EV - AC)
 
 
- 
Step 5: Use for forecasting
 
S-curve analysis offers visual cues and metrics for tracking and forecasting project performance.