Technical Foul — It’s Time for TPI in EVM

For more than 40 years the discipline of earned value management (EVM) has gone through a number of changes in its descriptions, governance, and procedures.  During that same time its community has been resistant to improvements in its methodology or to changes that extend its value when taking into account other methods that either augment its usefulness, or that potentially provide more utility in the area of performance management.  This has been especially the case where it is suggested that EVM is just one of many methodologies that contribute to this assessment under a more holistic approach.

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River Deep, Mountain High — A Matrix of Project Data

Been attending conferences and meetings of late and came upon a discussion of the means of reducing data streams while leveraging Moore’s Law to provide more, better data.  During a discussion with colleagues over lunch they asked if asking for more detailed data would provide greater insight.  This led to a discussion of the qualitative differences in data depending on what information is being sought.  My response to more detailed data was to respond: “well there has to be a pony in there somewhere.”  This was greeted by laughter, but then I finished the point: more detailed data doesn’t necessarily yield greater insight (though it could and only actually looking at it will tell you that, particularly in applying the principle of KDD).  But more detailed data that is based on a hierarchical structure will, at the least, provide greater reliability and pinpoint areas of intersection to detect areas of risk manifestation that is otherwise averaged out–and therefore hidden–at the summary levels.

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Technical Ecstacy — Technical Performance and Earned Value

As many of my colleagues in project management know, I wrote a series of articles on the application of technical performance risk in project management back in 1997, one of which made me an award recipient from the institution now known as Defense Acquisition University.  Over the years various researchers and project organizations have asked me if I have any additional thoughts on the subject and the response up until now has been: no.  From a practical standpoint, other responsibilities took me away from the domain of determining the best way of recording technical achievement in complex projects.  Furthermore, I felt that the field was not ripe for further development until there were mathematics and statistical methods that could better approach the behavior of complex adaptive systems.

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No Bucks, No Buck Rogers — Project Work Authorizations, Change Control, and Cash Flow

As I’ve written here most recently, the most significant proposal coming out of the Integrated Program Management Conference (IPMC) this year was the comprehensive manner of integrating all essential elements of a project, presented by Glen Alleman et al.  In their presentation, Alleman, Coonce, and Price, present a process flow (which, in my estimation, should be mirrored in data and information flow) in which program artifacts were imbued with measures of effectiveness, measures of performance, and measures of progress, to achieve an organic integration of all parts of the project that allow the project team to make a valid assessment of achievement against the plan, informed by risk and opportunity.  (Emphasis my own).  The three-legged stool of cost, schedule, and technical performance are thereby integrated properly at the appropriate level of the project structure, and done in such a way as to overcome the rigidity and fallacy of the single point estimate.

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IMPish Grin — The Connection for Technical Measures (and everything else)

Glen Alleman at his Herding Cats blog has posted his presentation on the manner of integrating technical performance measures in a cohesive and logical manner with project schedule and cost measurement.  Many in the DoD and A&D-focused project community are aware of the work of many of us in this area (my own paper is posted on the College of Performance Management library page here) but the work of Alleman, Coonce, and Price take these concepts a step further.  I wrote an earlier post about the white paper but the presentation demonstrates clearly the flow of logic in constructing not only a model in which technical performance is incorporated into the project plan through measures of effectiveness that are derived from the statement of work, but then makes the connection to measures of progress and measures of performance, clearly outlining the proper integration of the core elements of project planning, execution, and control.

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Ace of Base(line) — A New Paper on Building a Credible PMB

Glen Alleman, a leading consultant in program management (who also has a blog that I follow), Tom Coonce of the Institute for Defense Analyses, and Rick Price of Lockheed Martin, have jointly published a new paper in the College of Performance Management’s Measureable News entitled “Building A Credible Performance Measurement Baseline.”

The elements of their proposal for constructing a credible PMB, from my initial reading, are as follows:

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Frame by Frame: Framing Assumptions and Project Success or Failure

When we wake up in the morning we enter the day with a set of assumptions about ourselves, our environment, and the world around us.  So too when we undertake projects.  I’ve just returned from the latest NDIA IPMD meeting in Washington, D.C. and the most intriguing presentation at the meeting was given by Irv Blickstein regarding a RAND root cause analysis of major program breaches.  In short, a major breach in the cost of a program is defined by the Nunn-McCurdy amendment that was first passed in 1982, in which a major defense program breaches its projected baseline cost by more than 15%.

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Let’s Get (Technical) — The Crux of Predictive Measures

For many years since the publication of my various papers on technical performance measurement, I have been asked to update my perspectives.  Over the years I largely declined, mostly this was due to the fact that I had nothing of importance to add to the conversation.  I had staked out what I believed to be a reasonable method of integration between the measurement of technical achievement in human effort and the manner in which the value of that achievement could be documented, along with a reasonable model of technical risk to inform us of our ability to achieve success in the next increment of our technical baseline.  A little background may be helpful.

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