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Webinar Recap: Project Performance Measurement – Part 1: Overview Of Project Performance Measurements

MPUG

Please find below a transcription of the audio portion of Fletcher Hearn’s session, Project Performance Measurement – Part 1: Overview Of Project Performance Measurements, being provided by MPUG for the convenience of our members. Kyle: Hello, and welcome to part one of MPUGs Project Performance Measurement course.

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Webinar Recap: Project Performance Measurement – Part 2: What to Measure and How to Report

MPUG

Please find below a transcription of the audio portion of Fletcher Hearn’s session, Project Performance Measurement – Part 2: What to Measure and How to Report, being provided by MPUG for the convenience of our members. Kyle: And welcome to Part 2 of MPUG’s Project Performance Measurement course.

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A Compendium of Works to Increase the Probability of Project Success

Herding Cats

Nine Best Practices of Project Management , Software Program Managers Network (SPMN). Project Governance. Integrated Master Plan: The Foundation of Program Success , College of Performance Management, May 21, 2014. The Nine "I's" of Program Success ," College of Performance Management. Project Performance Management.

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125 Project Management Buzzwords

The IIL Blog

Cost Estimation The process of estimating project costs is done by leveraging historical data, expert judgment, or quantitative models. Earned Value Management (EVM) A systematic approach to project performance measurement assessing schedule and cost performance. Six Sigma A disciplined, data-driven (i.e.,

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Misinterpretations of the Cone of Uncertainty

Herding Cats

The Cone of Uncertainty is a framing assumption used to model the needed reduction in some parameter of interest in domains ranging from software development to hurricane forecasting. The Cone of Uncertainty as a Technical Performance Measure. The Cone of Uncertainty as a Technical Performance Measure.

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4 Fallacious Reasons to Estimate and Why Those Are Fallacious

Herding Cats

Although I understand measuring productivity could work well for repeatable activities, it's hard to believe it works well for abstract and, ultimately, non-repeatable tasks like software development. Thus, the common approach to "measure productivity" is to compare the estimates against what, in fact, happened.

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Start with Principles, Not Personal Anecdotes

Herding Cats

Drawing Unsupported Conclusions from Incomplete and Inconclusive Data, it is not only natural but also laudable, to seek evidence that confirms something that we hold to be true. We can estimate the total cost, total duration, and the probability that all the Features will be delivered on the program we are working for the US Government.