Rebel’s Guide to PM
SEPTEMBER 26, 2016
It covered identifying requirements, interconnecting tasks, resources, planned values, actual values, baselines, performance measures, forecast techniques and timesheets. She teaches project management at University of Padova and has been a PMI volunteer since 2007.
Herding Cats
JULY 24, 2017
Don't toss out the notion that reducing risk and uncertanty and all other performance measures doesn't follow the plan. . Six Rules of Effective Forecasting," Paul Saffo, Harvard Business Review , July-August 2007. Software Measurement and Estimation: A Practical Approach , Linda M. 37–48, 2007. . Laird and M.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Herding Cats
MARCH 11, 2018
risks that may prevent the end item from performing as intended or not meeting performance expectations. Measures of Effectiveness, Measures of Performance, Technical Performance Measures, and Key Performance Parameters describe the measures of these expectations. Programmatic ?
Herding Cats
DECEMBER 4, 2017
Measures of Performance - are performance measures that characterize physical or functional attributes relating to the system operation, measured or estimated under specific conditions. Measures of Performance. The Technical Performance Measures. Let's look at the differences.
Herding Cats
APRIL 16, 2019
Project Performance Management (#PPM). Technical Performance Measures (#TPM). Cost, Schedule, and Technical Performance Management (#CSTPM). Project Performance Management. Building a Credible Performance Measurement Baseline - without a good foundation, nothing can be built. Risk Management (#RM).
Herding Cats
JUNE 19, 2017
The Cone of Uncertainty as a Technical Performance Measure. Misinterpretations of the “Cone of Uncertainty” in Florida during the 2004 Hurricane Season, Kenneth Broad, Anthony Leiserowitz, Jessica Weinkle, and Marissa Steketee, American Meteorological Society , May 2007. Measure of Effectiveness. Measure of Performance.
Herding Cats
AUGUST 1, 2018
Coping with the Cone of Uncertainty: An Empirical Study of the SAIV Process Model,” Da Yang, Barry Boehm, Ye Yang, Qing Wang, and Mingshu Li, ICSP 2007 , LNCS 4470, pp. 37–48, 2007. “The Cone of Uncertainty,” Stephen Gryphon, Phillippe Kruchten, and Steve McConnell, Letters, IEEE Software , 23 (5) 2006, pp 8?10.
Expert insights. Personalized for you.
150 
Let's personalize your content