Getting started with X-evm is a simple 3-step process as illustrated in the diagram below. No complicated setups are required. Real time graphs are instantaneously created every time you add a complete task. You can monitor your timelines and progress on the fly.
The dashboard view displays the EVM graph for PV, AC and EV. These graphs are updated every time you add a complete task. You can zoom in and out and can also select a start date to view the graph. The table on the left displays all of the EVM parameters as of the current date. But you may also choose any date to view these parameters. As a result this table also acts as a simulator- a useful feature to help accelerate your learning.
This is the AC sheet where you enter the actual cost for each task on a weekly basis. Helpful cost indicators help you keep control of your costs. The gray shaded cells direct you to the weeks where actual costs are expected. These gray cells act as the Gantt chart as well.
This is the EV sheet where you input % complete for each task on a weekly basis. Helpful cost indicators help you keep control of your costs. The gray shaded cells direct you to the weeks where percentage completions are expected. These gray cells act as the Gantt chart as well.
This is the PV sheet. This data is automatically generated from the Gantt engine. As you can see the grey cells act as the Gantt chart for ease of use. You don't have to input any data in this tab.
This is the Gantt engine you will use to build your schedule. You input the start dates, predecessors, resources and category (parent or child task). You can also select weekend work. The output of this sheet is show in the PV sheet.
This is the rolling view of the schedule. This view gives you a 6 month view at anytime in the schedule
This is the data that is plotted as the EVM graph. The red highlighted cells are controlled from the dashboard and provide you with all of the EVM parameters such as EAC, SV, SPI, CPI etc. You can move this highlighted block of cells across any week span and acts as a useful simulation feature.