Assessing differences between planned and actual performance.
This topic focuses on techniques for calculating and interpreting schedule variances, helping project managers understand where and why deviations occur, and taking corrective actions to align with the schedule baseline.
5 minutes
5 Questions
Variance Analysis is a critical technique in project management for understanding differences between planned and actual performance. It involves measuring, examining, and comparing deviations from the baseline schedule to assess project health.
In PMI Scheduling Professional contexts, variance analysis primarily focuses on schedule and cost variances. Schedule Variance (SV) measures the difference between Earned Value (EV) and Planned Value (PV), indicating whether work is ahead or behind schedule. Cost Variance (CV) compares EV with Actual Cost (AC), revealing under or over budget performance.
The Schedule Performance Index (SPI) and Cost Performance Index (CPI) are efficiency indicators. SPI = EV/PV shows schedule efficiency, with values below 1.0 indicating delays. CPI = EV/AC reflects cost efficiency, with values below 1.0 suggesting overspending.
Effective variance analysis requires accurate data collection, regular monitoring, and proper interpretation. Project managers identify variance trends through techniques like Earned Value Management (EVM) and trend analysis, examining patterns over time rather than isolated data points.
When significant variances occur, root cause analysis helps determine underlying factors. Common causes include scope creep, resource constraints, estimating errors, and external factors.
Based on variance analysis, project managers implement corrective actions such as schedule compression, resource reallocation, or scope adjustment. They update forecasts using performance trends to predict final schedule and cost outcomes.
Documenting variances and responses creates valuable historical information for future planning. Regular variance reporting to stakeholders ensures transparency and facilitates timely decisions.
Ultimately, variance analysis allows schedulers to proactively manage deviations rather than reacting to crises, maintaining project control through informed decision-making.Variance Analysis is a critical technique in project management for understanding differences between planned and actual performance. It involves measuring, examining, and comparing deviations from the baseline schedule to assess project health.
In PMI Scheduling Professional contexts, variance anβ¦
When calculating the EAC in a project where cost variances are increasing exponentially, which key component should you adjust in your formula?
Question 2
In a project where both ETC and AC metrics show substantial deviations from planned values, which key element most affects the reliability of your EAC calculation?
Question 3
During a major IT implementation project, your stakeholders request an explanation of why your EAC has three different values. Which statement best describes the purpose of calculating multiple EACs?
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