MPUG
MAY 6, 2021
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.
ProjectManager.com
NOVEMBER 11, 2021
For a successful project, you need an overall picture of your work performance information (WPI). Performance reporting provides that information by putting performance measurement, quality assurance and accountability data in context. This timeframe should be long enough for you to identify trends in the data.
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MPUG
MAY 14, 2021
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. SLA trends.
MPUG
JULY 10, 2023
Now we’ve looked at some cost performance measures, let’s look at a few more specifically aimed at managing schedule performance. They are supposed to help you spot early performance problems and track trends, and they are useful for adjusting upcoming budgets and timelines to reflect how the project is actually performing.
Epicflow Blog
APRIL 25, 2024
” Eli Schragenheim The lesson is: when you ask for a clear one-number estimation, without defining the level of common and expected uncertainty, then you either might face big surprises or face frequent occurrences, where the project/mission finished exactly on time.
Herding Cats
JUNE 19, 2017
The Cone of Uncertainty as a Technical Performance Measure. Of late, Cone of Uncertainty has become the mantra of No Estimates advocates claiming that data is needed BEFORE the Cone is of any use. The Cone of Uncertainty as a Technical Performance Measure. Measure of Effectiveness. Measure of Performance.
Herding Cats
JANUARY 22, 2017
The Cone is a project management framework describing the uncertainty aspects of estimates (cost and schedule) and other project attributes (cost, schedule, and technical performance parameters). Avoiding or minimizing cost overruns and schedule slips by detecting them early - by observing trends to breaches of the UCL and LCL.
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