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Improve Schedule Performance with Earned Schedule 

What is Earned Schedule?

Are you familiar with EVM--Earned Value Management? Earned Schedule is part of EVM, added by Walt Lipke in 2003.  Today, there is a robust set of ES Metrics. They measure past schedule performance and estimate future schedule impacts.

Where does ProjectFlightDeck fit?

ProjectFlightDeck's Schedule Performance Analyzer©  takes data from your schedule, performs calculations, and reports ES metrics.

Who can use it?

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Project Manager

To keep the project on schedule, PMs need a fast, accurate reading of current performance and estimate of future outcome.

All of this must be easily understood, readily communicated, and easy to share.

 

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Project Scheduler

To operate the schedule, Schedulers need more than the "big picture". They need details:
• poor performance? how bad?
• need recovery? how long will it take and at what efficiency?
• not adhering to plan? how much and where?

 

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PMO/Project Controller

To help projects stay on schedule, PMOs and Controllers need quantitative metrics that apply consistently across roles, projects, and portfolios.

ES metrics have been institutionalized by PMI, ISO, and others.

 

 

Why consider it?

The Schedule Performance Analyzer© features an unparalleled range of ES metrics. It offers visualizations to speed analysis and numerical details to power deep dives. Finally, its input settings steer the calculations while its backstage coding checks and corrects data errors. 

 

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ES Metrics

The broadest range of metrics available today.

Why so many? The metrics that best fit a project's needs vary between projects and time periods.

A wide range of metrics ensures you have the ones you need.

 

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Visualizations

Foster communication within and outside the team with graphs.

Backup the big picture with numeric details.

Group results to make it easy to find what you're looking for.

 

 

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Drivers

User input settings drive the operation of the  Schedule Performance Analyzer©.

Behind the scenes, program code scans incoming data, detects errors, and correct problems so that processing continues. 

 

 

How is it done?

It's done in three steps: extract the data, run the Analyzer, view the results. 

 

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Extract

Use one of ProjectFlightDeck's extractors, create your own extractor, or manually gather and build the data file.

Then, format the data to fit the API (or have  ProjectFlightDeck do it for you) and save.

 

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Run the Analyzer

Open the file that contains the Analyzer.

Pick the data file to be analyzed.

Enter user settings for the run.

Run the Analyzer. 

 

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View the Results

Review the Excel output file that is created automatically.

Interpret the results. For tips on how to do so, see our Practice Guides.

Package results and distribute to stakeholders.

 

 

Have a question? A comment? Need help?

Contact ProjectFlightDeck