I Don’t Even Know The Words To The Katalina Matalina Song!
| In the Steve Martin movie The Man With Two Brains, Martin’s character, Dr. Hfuhruhurr (you’ll need to see the movie to hear how it’s pronounced) is pulled over by the Austrian police while driving at excessive speeds. They perform a field sobriety test that includes the following steps:
…all of which Dr. Hfuhruhurr performs successfully, while commenting “&^%$* your drunk tests are hard!” Prior to seeing this movie I had never heard of the Katalina Matalina song, but I understand it’s fairly familiar to school-age children. The chorus goes like this: Katalina Matalina Upsidina walkadina Hoca poca loca Was her name. The verses are hardly better. I would go on, but I’ve probably already sunk the Flesch-Kincaid Grade Level Readability Calculator score for this blog to levels so low that the ProjectManagement.com editorial staff may automatically reject it. Meanwhile, Back In The Project Management World… As our Earned Value and Critical Path Methodologies (EVM/.CPM) cost/schedule control systems go hurtling down the Project Management Information highway, they will sometimes attract the attention of PM constables who will pull them over and politely but authoritatively ask them to perform a few simple tests to determine their validity. It’s easy to see how a lot of these tests go directly to system efficacy, such as:
…among others. And, while the PM constables are usually very polite, the clear implication is that, should the Project Management Information System being evaluated happen to fail these tests, the take-away would be that the Project Team is either incompetent, deceitful, or both. Aiding these PM constables in their duties are software tools that can scan large CPM networks or EV systems. This is all well and good, but I have to ask: what happens when a one-size-fits-all software intended to check system integrity is run against the Earned Value or Critical Path Methodologies-based systems associated with a-typical projects? Here’s the situation using the Game Theorists’ favorite tool, the Payoff Grid:
In Scenarios A and D, the system integrity-checking software has performed as intended, and needs no further evaluation. However, if there are genuine problems with the PMIS being evaluated, and the software doesn’t pick up on it (Scenario B), then it looks really bad for that package, particularly if the subject project ends up overrunning or coming in rather late, with no early warning from the PMIS. In those instances where the PMIS is really okay, but the software came back with a list of errors, the natural inclination is for the Project Team is to chase those to ground. Prior to this forensic analysis and pursuit of the remedies, one question should be asked: are all of the checking software’s tests relevant? Consider, for example, the old saw about how, if the number of activities (or percent of their budgets) using the Level-of-Effort method to claim their Earned Value amounts is over anywhere from 5% to 15%, this is indicative of error. I understand the value of using the more discreet methods of claiming EV, such as direct units or weighted milestones, when plausible. But for those projects that are more service-oriented than others, LOE will almost certainly be the most appropriate EV method for a plurality, if not a majority of its activities. Evidence for this assertion lies with the fact that, ironically, the Project Management task in almost all projects is invariably tracked using LOE, meaning that it’s entirely possible that the PM consulting firm performing a baseline integrity review using one of these software packages wouldn’t get a passing grade for their own PMIS. Don’t misunderstand – I’m all for PMIS integrity, and for the software tools available that can help attain it. I’m also in favor of the detection of drunk drivers in Austria. I just think that having to walk on my hands on a straight line to establish sobriety is a bit excessive. Besides, I don’t even know all the words to the Katalina Matalina song. |
The Great Earned Value Versus risk management(i) Showdown
| Regular members of GTIM Nation know of my disdain for risk management (no initial caps) as currently practiced; however, there is no truth to the rumor that I stated that it is a total and complete waste of time, it only serves to muddy the Management Information System (MIS) waters, or that I have compared its practitioners to members of the genus Mustelidae. I have, though, regularly stated that it fails two of my three criteria for valid management information systems, that they be:
Being the traditional kind of PM that I am, I think it’s clear that the standard methodologies of Earned Value and Critical Path represent valid systems, while risk management[i] doesn’t. But curmudgeonly blogger talk is cheap: what can we see in legitimate management science space that would convincingly point to the conclusion that risk management[ii] methods are objectively inferior to, say, Earned Value? To set up this test, let’s first find a common output from each system. Risk management (I only used an initial cap on the word “risk” because it started the sentence) cannot tell you:
…all of which, the alert reader will realize, are highly relevant pieces of information. Conversely, Earned Value Management Systems cannot tell you:
…all of which, the alert reader will realize, are fairly irrelevant, with the possible exception of the third bullet (but even that is highly dependent upon the ability to accurately capture its underlying assumptions’ data, which is itself suspect). So, what relevant piece of information do both types of systems assert an ability to generate? “I’ll take ‘Variances at Completion’ for $1000, Alex.” To be sure, this apparently crucial piece of information doesn’t come by the risk managers[iii] easily. In order to provide an accurate prediction of how much a given project will cost when it is complete, how long it will take, and compare those figures to the original baseline estimates, the following processes and consideration must come into play:
Note that these steps are not scalable. The alternative scenarios either happen, or they do not. At that point, the entirety of their estimated impact is the “right” number, or it is not. The act of multiplying the impact amount by the So, how would an Earned Value system provide this same information?
Note that these steps are perfectly scalable. They will return a figure accurate to within ten points at whatever level of the WBS is being assessed. Note also that it requires no special expertise (to perform – setting up the original baselines do require some level of competence, but would need to be done for the risk managers anyway). A grade schooler could do it. So, I put it to my readers, both Members of GTIM Nation and occasional: which information stream do you think is superior?
[i] No initial caps. [ii] Ibid. [iii] Ibid. [iv] …which has to be one of the goofiest terms in all of management science. |
“Thanks, Captain (Strikethrough) Lt. Commander Obvious!”
| In the television series Star Trek, The Next Generation (TNG), one of the main characters throughout its run was Lt. Commander Deanna Troi, played by Marina Sirtus. She was half-human, half-Betazoid, a species with telepathic abilities. As “ship’s counselor,” she occupied a chair on the bridge of the Enterprise, right next to Captain Picard, opposite First Officer Riker. With such prominent placement on the bridge of The Federation’s flagship, one would think she had an awful lot to contribute. And one would be mistaken. Just as the Star Trek, The Original Series’ (TOS) character Commander Spock had the familiar line “most illogical,” or “fascinating,” Lt. Commander Troi is probably best known for her phrase “I sense he’s hiding something, Captain,” usually when such an observation could have easily been made by any of the non-telepathic members of the bridge crew, and almost always when the subject of her remark was obviously obfuscating. To be fair, there were a couple (at least) of episodes where her telepathic abilities provided an insight as to the true motives of that particular episode’s antagonist, but for the most part I found her intuitions to be clearly redundant. Meanwhile, Back In The Project Management World… While not telepathic in nature, there can be no doubt that we PM-types have access to information and insights completely foreign to those outside our clan. For example, consider a grand assembly of the principals of a given organization, meeting to ascertain, well, the usual question on everybody’s mind: how are we doing? Of course, each specialty will interpret the question, technique for deriving an answer, and appropriate response very differently, so:
Just kidding. Expect them to assert a judgement on organizational health based entirely on the projects’ willingness to pay them to set up a risk register.
Which brings us back to Lt. Commander Troi. If you have the ability to know that the Romulans are getting ready to double-cross you, step up and make that known, and sooner rather than later. Similarly, if you, as a PM-type (and member of GTIM Nation) know, based on your EVMS, which projects are doing okay, and which are failing to disclose probable overruns, step up and point it out, even if your assertions run counter to the other “experts” in the board room. Your cost and schedule performance information is accurate and relevant, theirs isn’t. Otherwise, all of your PM expertise is analogous to sitting in a bridge chair, not connected to an actual station, and bleating “I sense they’re hiding something, Captain.” |
What Does Your Customer Think Of Your Request For Equitable Adjustment?
| As I wrap up GTIM’s take on COVID-19 Impact, one year later (ProjectManagement.com’s theme for March), I want to put a bow on the whole what-happened-and-how-do-we-move-on business, from a Project Management perspective (of course). A lot of how we get made whole on the project side of things is going to depend on what kind of contract your Team is working, and which kind of customer. As they (should) teach in risk management (no initial caps) school, the primary vehicle for managing your project’s risk is the contract vehicle itself. If you’re working a firm fixed price (FFP) contract, then your organization has signed on to accept all of the risk for the project, global pandemics (virtually always) included. If, on the other hand, your customer has signed on to a cost-plus contract (e.g., cost plus fixed fee [CPFF], cost plus award fee [CPAF]), then they have committed to sharing some of the risks involved in the project, and your job is now to articulate the best possible case for them to accept as much of that risk as possible. Add to this the PM’s ability to read their customers, and this is where things get tricky. Just to be clear, nothing in this column should be taken as legal advice when making a force majeure claim. Those questions are best left to the contract administrators and lawyers, and I am neither. This blog is entirely from a Project Management point of view, and my own personal perspective at that. But it seems to me that PMs who have seen a sizable impact from COVID-19, and are working some form of cost-plus contract, could help themselves – and their Teams – by reading their customers’ mood or disposition as they advance their Baseline Change Requests (BCRs). First off, was your Project’s performance harmed by the pandemic? A simple drop in Cost Performance or Schedule Performance Index (CPI/SPI) can’t be interpreted as ipso facto evidence of COVID-related damages. As I mentioned in an earlier blog, we’re looking at a series of potential scenarios, both with respect to changes in the performance indicators and the condition of the Project both prior to and after the lockdowns became prevalent. The preliminary analysis has to do with the CPI and SPI behavior. Generally speaking,
Pretty basic, right? So now let’s overlay this onto the performance figures your Project has seen since February 2020 (the last “normal” month for most of us) and the present. This behavior can be binned, so:
If you do decide to generate a BCR under these scenarios, here’s what you can expect:
Of course, if your customer routinely engages in the actions listed in the Response column for Scenario 6, you won’t be able to glean any additional information on the status of your request for baseline adjustment. But, if that is the case, you probably have a lot of other problems anyway. |
COVID Impact As Litmus Test
| GTIM Nation regulars know my respect and admiration for Michael Maccoby, particularly his book The Gamesman; The New Corporate Leaders (Simon & Schuster, 1977). In this book Dr. Maccoby lays out four basic archetypes we can generally expect to encounter in the business world:
In previous blogs I’ve analyzed not just the implications of encountering these archetypes in the daily interactions of Project Team members, but what the results can be if the entire Project Team – or even macro-organization – were to become dominated by each type. I have personally encountered groups with organizational cultures that mirrored the Maccoby archetypes, and I can state confidently that it’s far better to be led by Gamesmen and Craftsmen than Company Men, or (shudder) Jungle Fighters. In my experience,
Conversely,
Okay, So What Does All This Have To Do With COVID? I’m glad you asked. In last week’s blog I discussed how the pandemic has had such a negative, often tragic, and broad-based impact on the macro economy. Going on one year after the first widespread shutdowns began, the cost and schedule performance of the projects making up virtually everybody’s portfolios are available, and some critical organizational behavior and performance information can be gleaned from them. Let me state plainly that a whole lot of projects were negatively impacted by the pandemic, and even the very best PMs would have been hard-pressed to reduce the severity of such impacts, even by a little. That having been established, there are also portfolios made up of projects with roughly similar scope, but widely divergent outcomes. I’ll approach this using the Game Theorists’ favorite tool, the payoff grid:
The short statements in the payoff grid for Scenarios 1 (A) and 1 (B) are self-explanatory, so let’s look at Scenario 2(A). In the face of failure, Jungle Fighters and Company Men will look to blame something or somebody, but never their own inability to either set the optimal technical agenda, or to properly lead a team of professionals, even in a dramatically changed project environment. If COVID impact offers the most plausible causal element of their troubles, they will reflexively blame it, perhaps not reading my blog from two weeks ago showing how Earned Value Management Systems can be used to pinpoint which projects were genuinely affected by the pandemic, and by how much. By contrast, if the poorly-performing projects were headed by a Craftsman or Gamesman, these PMs will usually try to precisely quantify the effect instead of seeing it as some kind of poor performance license. I believe that, in the final analysis, Project Teams led by Craftsmen or Gamesmen will show themselves to be more robust in the event of a broadly-negative macro-economic event, while Project Teams “led” by the other Maccoby archetypes will see their vulnerabilities exposed. Now that you know what to look for, seek the former, avoid the latter. Good luck. |





