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04 June 2013

What to Call Risk and Opportunity Management

Many writings lump risk management and opportunity management together under the label, Risk Management.  Risks and opportunities are left-pointing and right-pointing rays on the same line.

Many equate risk with probability, so they drop opportunity from the label. They think of risk as an abbreviation for risk and opportunity. Others worry, then, that opportunity will be forgotten -- as it usually is!

When one speaks of risk [and opportunity], one speaks of the probability that something will happen. That is,

Risk = Probability x Impact, where Impact is a loss

and

Opportunity = Probability x Impact, where Impact is a gain

If risks and opportunities are rays pointing left and right, then opportunities are negative risks. If you deal with them in the same matrix, pay extra attention to your negative signs.

Risk and opportunity management can result in influencing the probability, influencing the impact, or other strategies such as accepting a potential loss or waiting to deal with situations when and if they become an issues.

(Remember that a situation is a risk if the probability lies between zero and one.  A situation is an issue if the probability is one.)

Uncertainty Management

Could we simply call it Uncertainty Management?  Uncertainty would only deal with influencing the probability that something will occur. The face-value of the term fails to imply the other strategies for dealing with risks or opportunities. The name of this knowledge area should reflect the highest-level concepts, not a component concept.

Opportunities and Threats

Another pairing of terms comes from SWOT analysis - Strengths, Weaknesses, Opportunities, and Threats. SWOT analysis is one technique for identifying risks and opportunities.

Opportunities and threats, as a pair, emphasizes the influences or situations that affect or can be affected by a person or project. (In fact, threat implies that the risk event comes from outside, whereas risks can be either internal or external.)  SWOT analysis emphasizes identification of risks. It makes up only a fraction of the whole set of risk and opportunity management processes.

A Common Risk:  Failing to Deal with Opportunities

Many people forget to manage opportunities with the same vigor that they apply to managing risks.  Exploiting opportunities can mitigate the potential impact of risks. The reasoning goes, Risk A may set us back a week, but Opportunity B may save us a week.

PMs have other reasons to exploit opportunities.   Exploited opportunities cut costs, relieve schedule pressure, and improve quality. In short, they maximize profit.

Failure to exploit opportunities wastes resources, causes product lines to stagnate, erodes market share, and results in lost jobs (perhaps your job!) when the company withers.

The failure to exploit opportunities is itself a fundamental risk.

Therefore, referring to the practice as Risk and Opportunity Management calls attention to the oft-forgotten second half of the discipline. 

Remember that semantics is about communicating, not about winning arguments.  If somebody refers to risk management, you know what they mean.  Adjust.

Copyright 2011, 2013, Richard Wheeler -- Permission granted for non-profit or personal use with a link to this post.

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15 May 2013

How to Memorize PMP Formulas

Four Keys to Memorizing Anything

Memorization is like eating my biscuits. You use a knife and a cutting board to cut them into smaller pieces. Then you bite them into even smaller pieces with your incisor before chewing and chewing with your molars, sometimes on the right side of your mouth, then on the left side of your mouth.

Memorizing a formula, you use a pen and paper to break it into parts. Then you repeatedly work on the pieces. Sometimes you write them and sometimes you say them out loud so you involve more than one sense. Unlike my biscuits, you put the pieces back together in medium-sized pieces and chew on them for a while before putting the whole formula together and chewing on it.

The keys so far are
  • Smaller pieces
  • Repetition
  • Multiple senses
  • Reassembly

The Fifth Key to Memorization

The remaining key is (drum roll, please!)
  • Analysis
If you can understand a formula, you can recreate it without memorizing as much of it.

Example:  Point of Total Assumption in a Cost Reimbursable Contract

  • PTA = ((Ceiling Price - Target Price)/Buyer's Share)) + Target Cost
(I have limited the scope of this post to memorizing the formula, so please don't expect an explanation of Cost Reimbursable Contracts.)

The first step in analysis is to restate the formula in a fashion more visually decipherable.
  • PTA = Target Cost  +  (Ceiling Price - Target Price) / (Buyer's Share)
Notice that I turned the formula around.  I like to write formulas the way you would see it graphed: with the biggest portion first, at the bottom. Look at the inconsistent way most people present the Cost Estimating formulas, and taking this liberty will make even more sense.

The contract is Cost Reimbursable, so the first part of the PTA is what we hope the cost will be, the Target Cost.
  • PTA = Target Cost + some ugly fraction
The two price points above the Target Cost are the Ceiling Price and the Target Price. The Ceiling is higher, so it goes first:
  • (Ceiling Price - Target Price)/something
Something is the Buyer's Share.  Sorry, you'll just have to memorize that.

This is the point where you take total assumption of your own learning and put the formula back together. Remember, the keys to memorizing are
  • Smaller pieces
  • Repetition
  • Multiple senses
  • Reassembly
  • Analysis

14 May 2013

Networking, Patience, and Self-torture

If I am looking out for a job and see that a guy in a senior position may be of help to me, how do I ‘pretend’ that I am of help for him and he should connect with me, when the reality is that in this case, atleast for the time-being the ‘help’ will be going only one way – him to me. For a direct person, who does not like beating around the bush and pretence, this networking bit becomes tricky. I know it is my weakness, but I am finding it hard to overcome it.


I go through the same doubts, especially when connecting to somebody who is many levels above me. But I look at it this way. We must take time to be polite.

The connection

Suppose you come home and, before you even put down your briefcase, your roommate or spouse starts telling you all the things on the repair list and all the things that went wrong today. To-the-point requests make people feel the same way.

People do things for friends that they will not do for strangers. Good manners includes telling a new acquaintance what you admire about them and explaining something you have in common. It establishes a bond. If you don’t have any reasons that you can turn into a compliment, then why are you connecting?

The request

Remember, it’s about your contact, not about you. You don’t want to put him in a position where he has to sound mean. So I ask, “If you think our interests fit, may I join your LinkedIn network?” or “…would you add me to your LinkedIn network?”

The offer

You try to connect with as many people as possible, right? If you, yourself, do not have confidence to offer help, you can still offer to connect them with somebody else who can help them. Sometimes I ask, “As I build my network, what skills or knowledge could I look for in people I might send your way?” (Of course, now, you have to start keeping track of the answers!)

Another way might be, “Does your organization face any challenges where I could watch for resources for you?”

Patience

I’m sure there are much better ways to say such things, and you should always adapt your words to the person you’re connecting with.

Remember, establish a relationship before asking for something. Better yet, don’t ask for anything until
  • they offer to help, or 
  • you have been able to do something for them.
When you’re desperate for work, it’s very hard to be patient, but it will get you much better results.

For further reading, see a great article with excellent comments:

05 May 2013

Differences between Risks and Issues in Projects, Part 1

Differences between Risks and Issues in Projects, Part 1

Issues

Updated 1 June 2014

People define issue in many ways, but in project management, issue has a special meaning.

In everyday English, one synonym for issue is topic. An issue is a situation that merits discussion. For example, the issue, what caused the last ice age or is man's contribution to climate change significant compared to factors such as volcanic ash and the variability of our star.

Everyday issues include past, present, and future situations. Discussions about issues may or may not lead to actions. Often, when we say that something is an issue, we imply that people disagree about it.

In project management, an issue is a situation that merits consideration because it affects the project. For example, the vendor left our parts to rust on the dock and will not ship them until they get paid, but our policy prohibits paying for the shipment until we receive and inspect it.

If the issue is significant, the project team will study actions that would reduce or remedy the situation effects on the project. This leads to change requests.

Part 2 (click here) focuses on the definition of risk and explains a side of risk that most PMP prep materials overlook.

Copyright 2013, 2014 Richard M. Wheeler

27 April 2013

Links to Management Resources

General Management Resources

Process Asset Samples and Templates

Project Management Newsletters

Project Management Resources

Project Management Tools

PM Social Media and Online Study Groups

Technical References

PM Blogs

PM Study and Free Resources

  • PM Study - Free Simulated Practice Test, Sample Guides and Podcasts, Work Experience Hour Calculation Tool
  • PM Success - 400 Questions of the Day
  • Head First Labs - Free PMP Practice Exam
  • Simplilearn - Articles and instructional videos

Agile Study and Free Resources

  • ScrumStudy - Free learning resources (including the ScrumStudy BOK) - Hat tip to Kylie Wilson in the Comments.

This is a work in progress. Add links to your favorites in the comments, below, and I'll add them.

10 April 2013

Understanding the Rule of Seven

Context: Discussion of the Rule of Seven in statistical process control 

Problem: In some industries, one cannot wait for repeatable errors as defects and errors lead to loss of life. I was told that, in pharmaceuticals, a certain % of death is acceptable and almost expected. The waiting process or period of time before halting tests or evaluations is where I am stuck.
First, let's use the terms specified value and control limit rather than errors or defects.
 
Also, we would normally discuss this topic in terms of parameters that have numeric values such as temperature, weight, and speed. In this conversation, we want to deal with measurable characteristics long before they result in catastrophic failures.

Rule 1. Out-of-bound conditions

If you have just one value outside the control limits, such as a severe side effect from a drug, you stop the process and figure out what went wrong. 

Rule 2. Calibrating the results

The Rule of Seven (or Run of Seven) does not apply to parameters that go outside the control limits. The Run of Seven applies when seven consecutive, acceptable values lie on the same side of the specified value. Such a situation indicates that the average has deviated from the desired value and you need to recalibrate the process so that the average is close to the specified value.

Illustrating with a made-up scenario

Suppose the scientists at Schpooky Pharmaceuticals want to test an inoculation against the HG (Heebie Geebie) virus. In order to train the immune system to fight off a full invasion of Heebie Geebies when somebody sneezes on us, the inoculation has to cause a fever of at least 0.5 degree F. They calibrate the variables in making the vaccine and in the dosage to cause a 1.0 degree F fever, or a temperature of 99.6 degrees F.  In this test, they set an upper control limit of 3.0 degrees, or a temperature of 101.6 degrees F.
 
Specifications:
  • T = 99.6 degrees F, average
  • 99.1 degrees F < T < 101.6 degrees F
Using the first rule, just one person develops a temperature of 103.0 degrees F. We stop the tests to see what's gone wrong because 103.0 > 101.6, the upper control limit.
 
Using the second rule, if we have seven consecutive people develop fevers between 99.6 and 101.6, we stop the tests to see what's gone wrong. These temperatures are all acceptable, but they are all greater than the desired value.
 
The Run of Seven indicates a special cause -- that is, one or more variables in the process need to be controlled. Maybe the dose is too large and needs to be reduced. Perhaps the HG virus needs to be baked five minutes longer. So we make the adjustments and then resume the trial.
 
These rules and others like them serve to stop a process long before it reaches catastrophic failure such as the death of a patient.

But catastrophic failures do happen

You might wonder, What about the catastrophic failures? They do happen! What about the one in 10,000 who dies? How can that be acceptable?
 
This takes us to other techniques such as Decision Tree analysis (p. 299 of the Project Management Institutes Project Management Body of Knowledge (PMBOK) Guide, 4th edition).
 
Suppose withholding the vaccine results in 1,000 deaths per 10,000, but giving the vaccine causes one death in 10,000. If you distribute the vaccine to 10,000, you save 999 lives.
 
Unfortunately, many drug companies withhold such drugs because that one in 10,000 will sue them, and the juries will severely punish the companies.
 
This issue, tort reform, is one of the dividing lines between the political parties in the US. A project manager needs to use various decision-making methods and maintain awareness of a wide range of environmental factors.

The Difference between Accuracy and Precision

In technology and science, accuracy and precision are different, although they go together.

For the measured characteristic
  • Precision is described by the range of values.
  • Accuracy is described by the difference between the average value and the specified value.
Lets have a goal of making two batches of cookies and specify that they measure 5" across. Afterwards, we measure the cookies.

Chocolate cookie widths
  • Average = 5.10 "
  • Range = 0.25"
Cinnamon cookie widths
  • Average = 5.01"
  • Range = 0.50"
The chocolate cookies have a smaller range of sizes, so they are more precise. The average size of the Cinnamon cookies comes closer to the specified value, though, so they are more accurate.
 
Does that seem counterintuitive?
 
For a measurement or a measuring tool
  • Precision is described by how many significant figures the tool gives you.
  • Accuracy is described by how closely the measurement matches the value of a standard device and also by how accurate the standard is.
As another example, I have two 18" rulers.
  • One came from a store that sells drafting supplies. It is graduated in 16ths of an inch.
  • The other, I made for myself after I loaned the store-bought ruler to a neighbor kid. I based it on one cubit (18"), the length from my elbow to my finger tips. When I graduated the cubit ruler in 50ths of an inch, I eyeballed the measurements and marked it by hand.
 The cubit ruler is more precise, but the store-bought ruler is more accurate.