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~ Finding, formulating and solving life's frustrations.

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Tag Archives: Business

 Representation 

11 Tuesday Dec 2018

Posted by petersironwood in America, management, psychology

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Business, Design, Dictatorship, Feedback, measurement, politics, programming, Representation, science, symbol, testing, truth

 Representation 

“Choose your words carefully.” We have all heard that advice. It’s good advice and choosing a good representation is key to solving problems, but the general point extends beyond choosing words. Take a few moments now to divide DCXXXV by IX without translating to Arabic numerals. Go ahead. I’ll wait. 

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Choosing the “best” representation for a problem depends on the nature of the problem but it also depends on your own skills and experience with a representation. If you have memorized the multiplication tables up to 99 x 99 (rather than only up to 9 x 9), you can use different techniques for multiplication than if you haven’t. If you already know how to program in FORTRAN and LISP, some algorithms will be easier to program in FORTRAN and some will be easier in LISP. But if the only language you know is R, then under most circumstances, it will be far faster and less error prone to use R than to learn another language and then use that one. 

Every representation of a real-world situation will necessarily make some features of the situation obvious and other features will be hidden or less obvious. An elevator, for instance, might say, “Capacity: 12 people.” If all of the people are wildly obese, then 12 may not fit into the elevator. The capacity sign is assuming that the people will be somewhat average. If there are 12 adults in the elevator, and one of them is holding a newborn, it won’t make much difference. If there are only 10 people in the elevator and each one has a large suitcase full of gold bullion, there may be room for all 10 to stand, but the total weight of the cargo may exceed the capacity of the elevators, snap the cable, and plummet you to your death. Remember that the next time you get on an elevator filled with folks who have suitcases of gold bullion. 

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Every representation has its limitations. If you’re familiar with a field, you will hopefully learn to recognize what those limitations are. In a famous book, The Mythical Man-Month, (still worth reading, though it should be called “Person-Month”), Fred Brooks shows that such a metric as “man-month” or “person-month” has serious limitations in planning and executing software projects. Some have paraphrased his message this way: “You can’t use nine women to make one baby in one month.” According to Brooks, who had plenty of experience as a high level manager of large software projects, when management finds that a software project is behind schedule (which is quite often), there are two major reactions of management: 1) require more measurements, reports, and presentations to management and 2) hire more people. 

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The issue with reaction 1 is partly that it takes time away from the managers and workers in order to make those measurements, prepare those reports and presentations, and to attend the meetings. Beyond that, it puts the focus of attention on those measurements (representations) which will only be at best, modestly correlated with what the real problems are. If, for instance, requirements keep changing, or there are incompatibilities in the requirements, measuring lines of code produced is not only useless in itself; it keeps people from tackling the hard problem. A solution to a hard problem might be telling the client that there can be no more changes in requirements. A solution to a hard problem might be resolving the incompatibility in requirements. One can count lines of code pretty easily. One can count other things like “function points” with a little more work but it doesn’t require getting into the “hard” and people-oriented problems that really need to be solved. 

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Reaction 2 – adding more people – will put more “resources” on the project. You can easily count the people. You can easily count the hours they work. The problem is that a person-hour is, like the elevator capacity, an over-simplified metric. In fact, it is a much worse representation of the resources on the project than the elevator metric. First of all, studies show that even among programmers with equal training, there are often ten-fold differences in productivity. The second, and even bigger issue is that even really productive programmers who are added late to a project will have to learn about the project: the people, the requirements, and the code base. If these new people are stolen from an existing project, that will also put that project in jeopardy as well. If they are instead new hires, then in addition to all the technical knowledge that they need to come up to speed on, they will also have to learn all sorts of administrivia that will take time and brain space away from the project: how to commute to work, where the cafeteria is, how to fill out time cards. Most likely, they’ll have to attend ethics training, and diversity training, and safety training. Even worse, a lot of the knowledge that they will need to become a productive member of the team mainly exists in the heads of the very people who are doing the programming now! This means that the busiest, most productive people on the project will have to take time away from programming to spend it instead on answering questions that the new people will have. 

Even this understated the real impact however. Let’s look at that phrase I just used, “…will have to take time away from programming to spend it instead…” What hidden assumption about representation is buried in this phrase? It gets the reader to think along the lines that time is additive. If I am deeply involved in programming and I get an IM or phone call from a newbie asking me a question about the project, it might take an hour to answer. Does that mean I have subtracted an hour from my own productive programming? No. It’s probably much worse than that. Why? Because I am not a machine, but a human being. It will cost me much more than the hour to get back to the same state of flow that I was in when I was interrupted. 

I was involved for a time in looking at programmer productivity for high performance computing  using various tools and the X programming language. One of the people I interviewed put it this way: “My manager calls for an hour meeting for 10 am when I am in the middle of a complex [parallel programming] problem. He thinks he’s taken an hour of my time. For him it’s an hour long meeting. But for me, he’s really destroyed the whole morning.”  

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These representational issues apply far beyond software development. For example, in the USA and in many other countries, we look at GDP as a measure of the economic productivity of the country. But how does this metric shape — or distort — our view of productivity? If a parent stays home with small children and they both love the time together, and the parent uses that time to help grow a loving, educated, productive citizen, it adds to the well-being of the country as well as that child and that parent and that family. But GDP? Nada. If instead, the parent paid money to put the child in mediocre day care, that would add to the GDP. 

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Similarly, if I go to the grocery and buy a hard, tasteless tomato for myself, I will pay for the growing of that tomato, advertising it, shipping it, warehousing it, displaying it, and for the genetic alterations so that the tomato, while tasteless, is easy to transport without spoiling. Yay me! I have added to the GDP. But if I go to a friend’s house and taste a wonderful tomato, ask for some seeds or a cutting and grow my own heirloom tomato, watering it lovingly with rainwater, weeding around it, and fertilizing it with compost, I have added zero to the GDP. Yet, the tomato will give me more pleasure, not less, than the croquet balls they have in the store. 

Representation is a good thing! Humans use symbolic thinking to do many things that would be difficult or impossible without these kinds of representations. But we must remember the limitations and not confuse reality with our representations of reality. 

This is not a new phenomenon. In the American Revolutionary War, high ranking British military officers could not understand why the British navy “refused” to navigate their warships up the Bronx River to attack revolutionary positions upriver. If you’ve ever seen the Bronx River, you’ll realize why immediately. But the maps that the British brass looked at showed a navigable river! 

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Yes, we need to use representation in our thinking. But we also need to think about our representations. You cannot assume that the one that is customarily used is “right” in all circumstances. People of different backgrounds and cultures will often use somewhat different representations of a problem or situation. (This is one of the advantages of diversity). However you do it, it’s worth questioning whether the way you are representing a situation or problem is optimal, or even adequate, for the problem at hand. 

Suppose you are measuring “number of user errors” that users make while using a prototype text editor. You move from prototype A which averaged 10 user errors per half hour test to prototype B which only averages 5 user errors per half hour. Yay! You’ve cut user errors in half! But what if the errors you eliminated were all fairly trivial; e.g., people with version A couldn’t figure out how to number their footnotes with Roman numerals instead of Arabic. In version B, that error, along with other trivial errors, was eliminated. But one of the new errors causes the system to crash and all the user’s work to be lost. Have you really made progress? 

All errors are not alike. All dollars are not alike. All people are not alike. Not even all tomatoes are equivalent. We constantly over-simplify and yet in some cases it’s necessary in order to deal with complexity. I don’t see how all such errors can be avoided. But it’s crucial for everyone, but especially for managers and executives, to be open to the cases where the representation that is being used has become counter-productive rather than “doubling down” on such errors. Finding and fixing errors of representation are generally harder to diagnose and fix than errors made with a representation. That is all the more reason why everyone, but especially leaders, must be open to changing the way issues are represented. 

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It is no accident that dictatorships generally result in nations wherein people have both less material wealth and less enjoyment and freedom. A dictator typically refuses to admit mistakes and fix them even if it means murdering someone to make the problem appear to go away. Ultimately, this process ruins any organization. Such a person need not be a national leader. They can be a company manager, a coach, a corporate executive, or a parent. Everyone makes errors, including errors of representation. But a reasonable person is open to fixing it when new information becomes available. You can be like that too. 

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Regression to the Mean

10 Monday Dec 2018

Posted by petersironwood in America, management, psychology, sports

≈ 2 Comments

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Business, experiment, family, Feedback, HCI, learning, life, politics, science, sports, testing, usability, UX

Regression to the Mean

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While working full-time at IBM Research, I was also a Fellow at the Institute for Rational-Emotive Therapy in Manhattan. I wrote an article in 1978 for their Journal, Rational Living.  The title was: “Why Do I Self-Down? Because I’m an Idiot?” Indeed, many people put themselves down and it is not helpful. I hypothesized several different causes for this kind of self-slamming behavior. Most of these causes you could probably figure out on your own. But one in particular is subtle and non-intuitive. It is based on a statistical phenomenon which few people know about despite the fact that it is extremely pervasive. This phenomenon is called “Regression to the Mean.” 

I want to define this term by explaining some examples. Imagine that you have a new soft drink which contains a combination of herbs that will purportedly make you smarter; e.g., gingko and bacopa. (There is some evidence these may actually work but let’s assume that they don’t or that your tea has too little to be effective). Here’s what you do to “prove” that it works anyway. You give an IQ test to 10,000 people and choose the 50 who score the lowest on the test and have them drink your tea for the next six months. At the end of that time, you give those 50 people an IQ test again and — Voila! The average (or mean) of the IQ scores has almost certainly gone up. Yay! It works! 

Or does it? One of your competitors is not too happy about your study. In fact, they aren’t even happy you put your tea on the market. They decide to prove that your tea is not only ineffective but that it makes people less smart. So what do they do? They give an IQ test to 10,000 people and they pick the 50 who score the highest. They have them drink your tea for six months and at the end of that time, they have them take another IQ test. In this case, the mean (average) score is lower than the first time! Ouch! They say your tea causes brain damage! 

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How can the same tea make people smarter and make them dumber? In this case, it does neither. What is going on? Here’s what is going on. When you measure something, there is always some error. Whether you are measuring your weight, your height, your blood pressure, or your IQ, the measurement is never exactly perfect. Your weight may vary slightly because of atmospheric pressure and more so because of water retention. If you take an IQ test, your score will partly reflect how well you do on such tests in general, but it will partly depend on luck. You may have felt particularly good that day, or a few of the questions might have been on topics you just heard about on TV the day before, or you may have made some lucky guesses. Or, you may have been unlucky on a particular day. You might have had a cold or misread one of the questions or forgotten your morning coffee. On any given day, some people will be a little lucky and some people will be a little unlucky. These things tend to balance out in a large group and if you tested all 10,000 people after six months, then assuming the tea has no real effect, no effect will be shown in the data. 

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However, if you select the very best scores, you are partly picking smart people, of course, but you are also picking the people who were lucky that day. When you test just those people six months later, they will generally be just as smart but there is no reason to suppose they will be lucky again. Some will be lucky both times, most will not be particularly lucky or unlucky and a few will be unlucky. The average score will be lower. Conversely, if you choose the lowest scoring people, you will partly be choosing people who don’t do well on such tests in general. But you will also be choosing people who were tired, sick, guessed wrong or were otherwise unlucky that day. When you retest, those people will still tend to be people who do poorly on such tests, but they won’t necessarily all be unlucky again. Some will. Some won’t. On average, the scores will be higher than they were the first time. 

The phenomenon of “Regression to the Mean” was first noted by Francis Galton in the 1880’s. Tversky and Kahneman, so far as I know, were the first to note that this phenomenon could easily cause managers, coaches, and parents to end up being unnecessarily negative. Here’s how it works. Let’s say you are learning to hit tennis serve. Although you will likely improve in general, over time, there will also be a lot of variation in your performance. Sometimes, everything will work well together and you’ll hit an excellent serve, one that is above your average level. At first, the coach’s natural inclination will be to praise this by saying, “Wow! Great serve!” or something like that. Unfortunately, your next serve, due to regression to the mean is very likely not to be quite as good as that one was. Your coach’s praising behavior was thereby punished. On the other hand, if you hit a particularly poor serve for your level, your coach might say, “Oh, come on. You can do better than that!” If they choose to say such things only on your very worst performances, then, due to regression to the mean, your next serve is likely to be somewhat better. In other words, their slamming you will be rewarded by your doing better the next time. The same general tendencies will apply to managers and parents as well.  

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The same applies to you! Whatever you are doing, your performance will vary somewhat over time. If you begin by praising yourself internally whenever you hit a particularly great shot, your next shot will most likely be not so great. On the other hand, if you put yourself down when you find your performance particularly bad, “You idiot! How could you miss that!?” Your next shot will tend to be somewhat better. Over time, your positive self-talk will tend to be punished and your negative self-talk will tend to be rewarded. 

It’s no wonder then that many managers, coaches, and parents end up saying very negative things about their charges. It’s also no wonder that many people say (or more likely think) many more negative things about themselves than they say positive things.  

Is there anything to be done? First, simply be aware of this phenomenon. That is step one. If you are running a study, you need to be careful in selecting. The study about your tea could be fixed by re-testing the entire population; by selecting a random group of 50 rather than the best or worst; or by using a control group who did not drink tea but was retested anyway. When praising or punishing someone’s performance, do not bother with trying to reward or punish outcomes based on one trial. That’s actually a pretty poor way to coach yourself or others in any case. See The Winning Weekend Warrior for more on this. Also watch out for this when you read about various conclusions of other studies. Did the investigators select either the “best” or the “worst” for their study? If they did such a selection, did they talk about the bias this introduces? Did they have a control group? 

Meanwhile, treat your mistakes as opportunities to learn, not as opportunities to put yourself down. There’s really no point in self-downing. But if you do find yourself self-downing, remember that it’s common; relax; smile at this human foible; then quit doing it. At least give yourself a break for the holidays. 

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Tversky, A., & Kahneman, D. Judgment under uncertainty: Heuristics and biases. Science, 1974, 185, 1124-1131. 

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And, then what?

06 Thursday Dec 2018

Posted by petersironwood in creativity, psychology, Uncategorized

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Business, consequences, Feedback, innovation, learning, science, testing, thinking

And then what? 

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When it comes to increasing the drama in TV crime shows, westerns, and spy thrillers, both the brilliant, evil villain and the smart, brave, good-looking protagonist display one common and remarkable weakness: they rush into action without much thought as to the possible consequences of their actions. 

Here’s a scene that you and I have probably seen a thousand times. The hero has a gun drawn and a bead on “The Evil One” but the Evil One has a knife to the throat of the friend or lover of The Hero. The Evil One, as both we in the audience and The Hero know, cannot be trusted. Most likely, The Evil One has caused the death of many people already, is treacherous, and lies as easily as most people breathe. Nonetheless, The Evil One promises to release the hero’s friend or lover provided only that The Hero put down their gun and slide it over to The Evil One. And The Hero complies! Often, The Hero will elicit a “promise” from The Evil One: “OK, I’ll give you my gun, but you have to let them go!” The Evil One, for whom promises mean nothing, “promises” and then The Hero slides the gun over. At this point, The Evil One is obviously free to kill both The Hero and their friend or lover immediately. Instead, The Evil One will begin chatting them up. This allows time for magic, skill, accident, God, unknown allies, or brilliance to turn the tables on The Evil One.

Here’s another scene that we’ve both witnessed. The Hero suddenly finds out some crucial piece of information that lets them know the whereabouts of The Evil One. Often this is an abandoned warehouse filled to the brim with minions of The Evil One. But, it might be the cave deep beneath the island stronghold of The Evil One; a stronghold filled to the brim with his minions. The Hero rushes in with a woefully inadequate force and without informing anyone concerning his whereabouts. He or she confronts The Evil One who not only confesses to past misdeeds but outlines their future plans to The Hero as well. 

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In the TV series or the movies, the sequence of events is determined by the writer(s) so even though The Hero faces impossible odds, he or she will almost certainly overcome those impossible odds. That makes for an exciting story!

But in life? 

In real life, you’ll typically do a lot better if you think about the likely consequences of your actions. 

Sometimes, people fail to do this because they have simply never developed the habit of thinking ahead. 

Sometimes, people let their wishes completely color their decisions. For instance, an addicted gambler, despite their actual experience, believes that gambling more will result in a favorable outcome for them rather than the truth which would be that there is an extremely small chance that they will win overall. 

Sometimes, people are too ignorant to realize that there are potential negative consequences. For instance, when I was a youngster, I had a “glow in the dark” watch and cross; each glowed partly because of radium. I enjoyed putting these right up to my eyes in order to observe the flashes of individual photons. I also put together model airplanes with glue. When I applied too much glue, I dissolved it with Carbon Tetra-choloride. I loved the exotic smell of Carbon Tet. Now, it is deemed too dangerous to be used in this way. 

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In many cases, it seems to me that people do think about consequences but use an overly simple model of reality on which to base their predictions. In particular, people often treat individuals and social systems as mechanical systems and base their decisions on those mechanical models rather than actuality. For example, your kid does not, in your opinion, eat enough broccoli so you simply force them to eat broccoli. Your “prediction” of the consequences of this may include that the kid will eat more broccoli, be healthier, eventually like broccoli, etc. Depending on the individual child, it may be that none of these will actually occur. In some cases, it may even happen that the exact opposite of your goals will be achieved. The kid may eat less broccoli, be unhealthier, and hate broccoli more than ever. There are many other possible consequences as well. The kid may end up hating meals with the family or hating you or hating the color green. 

When it comes to individuals and social systems, it is hard to know what the net effect might be. Often though, the most significant cognitive problem that people have is that they are so sure of their prediction that they base their actions on what they think should happen rather than what actually does happen. 

As recounted in some detail in the Pattern, “Reality Check,” instituting a new social reward or punishment system often does indeed change behavior, but not necessarily in the desired manner. If, for instance, programmers are now rewarded on the basis of lines of code written, they might indeed write more lines of code but many of those lines of code may be unnecessary. You might write 1000 lines of code or you could spend time thinking about the problem and then write two lines of code that accomplish the same result. Will you do so if you are only rewarded 1/500 th of the bonus?  

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Similarly, you may measure the performance of service technicians by how many calls they “handle” during their shift. But if that is the main or sole measure, you may also end up having those service people tend to offer trivial or even useless advice based on insufficient information. In all these cases, if management keeps seeing what really happens, any damage done by having an inaccurate predictive model of what will happen as a result of a change will be mitigated. But in a system, whether private or governmental, where people are mainly motivated to keep management happy by telling them what they want to hear, instead of correcting a poor intervention, the problems caused by inadequate models will tend to multiply, fester, or explode. 

So: 

Think of possible consequences and try to determine which ones are most likely. Then, observe what really does happen. This helps avoid turning an issue into a disaster and, over time, it also helps you develop more realistic models of reality. It will also tend to put you in the habit of taking a flexible and reality-based approach to your decisions rather than one that is based on a rigid and inaccurate model of how things should be. The latter approach to decisions will not only make you individually ineffective; it will also make it almost impossible to work well with others (unless everyone involved shares the same inaccurate model). 

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Many Paths

05 Wednesday Dec 2018

Posted by petersironwood in creativity, psychology, sports

≈ 9 Comments

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Business, competition, creativity, Design, divergent thinking, family, innovation, learning, life, sports, truth

Many Paths

{Translator’s Note}: Exciting news: more (mythological) archaeological evidence is being unearthed as I write this about the mythical Veritas tribes. My next series of translations will be put on hold however, until we have a chance to arrange and understand this new evidence so that I may use it to help guide the translations. In the meantime, I’ve asked one of my psychologist friends (Dr. John C. Thomas) to take over the blog for awhile and write short posts on such topics as thinking, problem solving, and creativity. Dr. Thomas has been studying these topics for fifty years. He was also trained as a Fellow in Rational Emotive Therapy. He has over 300 publications and presentations on psychology, AI, human-computer interaction, and user experience. 

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Hi, folks. I imagine many of you, like me, can hardly wait to see what these new findings will be regarding the Veritas tribe. Meanwhile, I’ve been asked to fill in by helping us think about thinking. One of the main characters we’ve been following in the myths of the Veritas is “She-of-Many-Paths.” She personifies the first thinking skill I’d like to discuss. 

This skill goes by many names including “Alternatives Thinking,” and “Divergent Thinking.” It is also discussed in the Pattern: “The Iroquois Rule of Six.” The basic idea is simple. When we are confronted with a situation, we often “Jump to Conclusions” or “Spring into Action” before we have all the facts. Even when we have all the facts (which is rare), we also have a tendency to focus on our first interpretation. This often leads to thinking of one (and only one) course of action. And, very occasionally; for instance, in some emergencies, that is the correct thing to do.

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Even in emergencies however, our first terrified instinct about what to do can be dead wrong. For example, people see a small fire in their homes and immediately throw water on it. But if it’s a grease fire or an electrical fire, this is not a good course of action. Soon after I first began my dozen years as Executive Director of the NYNEX AI Lab, there was a fire in a nearby Stouffer’s Hotel. The charred bodies of a dozen IBM executives were found huddled in a closet. In the smoke and panic and confusion of the fire, they had apparently grabbed at the first door and gone into a dead end closet and perished there. 

In daily life, there are a great many situations where a little extra thinking time would improve the outcome. For example, while working at IBM Research in the 1970’s, I drove about 10 minutes each way to work. At one point, I had a loose fan belt and my battery went dead. In a hurry to attend a meeting, I jump-started my car and drove to the IBM parking lot. Already late to a meeting, I went to turn off the car and just before I did so, I realized that I had not driven far enough to recharge the battery. So, I decided I’d better leave the car engine running for awhile. But as I gathered up my things and began dashing off to the meeting, I realized that it was insane to leave my car unlocked with the engine running! After all, someone could simply open the door and drive off! So, still in a hurry, I locked the car — with the engine running and the keys safely locked inside. 

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Most of us have done similar things. In some early experiments on design problem solving done at IBM, I found that when I asked people to come up with as many solutions as possible, they would generate ideas fairly quickly until they came up with one that they thought would really solve the problem. At that point, their idea productivity fell precipitously. It is hard for us to force ourselves to think of more than one good solution. 

Why is this important? For one thing, conditions change. Something may happen that makes your first solution no longer apt. For another thing, there may be side-effects of your solution that make it unacceptable. Another class of problems is that someone may object to your first solution for reasons you could not foresee. (See also, “Who Speaks for Wolf” as a way to help minimize that chance). In the context of invention and product development it is extremely unlikely that the first solution you come upon (and indeed even the first few solutions you think of) are novel. They are instead extremely likely to be the intellectual property of someone else. The most obvious solutions have likely already been patented and may already be in products or services that many customers are already using. 

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I have long been interested in observing people’s strategies and tactics in sporting events (See “The Winning Weekend Warrior”). One tactic that is overwhelmingly popular in tennis, for instance, is that the harder your opponent hits the ball, the harder you try to hit the ball. For example, someone hits a very hard ball while you’re at the net. You take this as an affront and think “I’ll show you!” Trying to hit the volley even harder means you take the racquet back farther. About half the time, the extra time it takes to bring the racquet back means you’ll mis-hit the ball or miss it entirely. On most of the remaining occasions, you’ll hit the volley too hard and it will go long. If someone hits the ball at you hard, what you need to do is simply block it back and guide it to the right spot. Trying to add extra power is unnecessary and too time-consuming. What is remarkable is not that you and I try to hit a hard ball harder. What is remarkable is that we never seem to try a different tactic!  

There are many issues with focusing all your energy on the first solution you come up with. But the worst consequence is that you are overly invested in that first “solution” (which may not even be a real solution). This is bad in trying to solve problems in every domain I can think of and having others involved amplifies the badness. 

For instance, let’s say that after 3 years without a vacation, you and your spouse finally have time for a nice two-week vacation. You want to visit Cuba for two weeks and they want to visit Vietnam for two weeks. If you each only come up with one idea, you will almost always find yourself pitching for your idea, trying to convince the other person that Cuba is better while they will spend their energy trying to shoot down your choice and explain (patiently at first and less so as time goes on) why Vietnam is a much better idea. After many frustrating arguments that go nowhere, you may decide to compromise; e.g., you could visit an empty stretch of open sea in the Pacific Ocean half-way between the locations; or, you may decide to flip a coin. All this frustration and bad feeling might be avoidable. It could turn out that your second choice and your spouse’s second choice are both San Diego! But you’ll never even discover this because when each of you only thinks of one idea, what should be a collaborative problem solving exercise instead becomes a debate – a contest with precisely one winner and one loser. 

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Thinking of many alternatives will save you many headaches – at work, in your love life, in your recreational endeavors. When you force yourself to think of many alternatives, you will also be more open to the ideas of others. Over time, thinking of many alternatives whenever you get a chance will also increase your own creative potential. Who knows? You might even be chosen as the next leader. 

For a leader, it is particularly important to consider many possibilities. Insisting that everyone get on board with the first idea that pops into your head will cause resentment and dissension. It will also make you far less willing to change to a different idea when circumstances necessitate it. 

You may start a business and decide that you must be personally involved in every decision and with every customer contact. At first, when your company is small, this might work out wonderfully well. No-one knows the customer and the product quite so well as you do. But you are not God. You cannot be everywhere and know everything. If you never learn to delegate; never grow the capacity of your people; never take expert advice — you will drive yourself and everyone around you crazy. The very success of your business will guarantee its ultimate failure. Learn to consider many paths. You will be glad you did. 

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Study Slain by Swamp Monster!

19 Thursday Jul 2018

Posted by petersironwood in America, management, psychology, Uncategorized

≈ 8 Comments

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Business, Design, experiment, HCI, human factors, innovation, politics, science, Study, usability, UX

Study Slain by Swamp Monster!

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I’m trying a new format for blog posts. 

For those of you in a hurry, to get to the “bottom line” of this post, you can skip the story and go right to the bold-faced “lesson” at the end. I’d really you rather read the whole thing of course, but I know some readers are harried and hurried. So, if that describes you right now, feel free. 

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In the early 1980’s, researchers at the IBM Watson Research Center invented a new kind of system. Originally, this was called the “Speech Filing System.” It was initially designed to allow so-called “office principals” (sales people, managers, executives, engineers, etc.) to dictate letters and memos which could then be typed up by the pool of typists. Instead of requiring each “office principal” to have (or borrow) a dedicated piece of dictation equipment, they could accomplish this dictation from any touch tone phone. While this offered some savings in cost and convenience in the office, it was even more wonderful on the road. People did not have to take their dictation equipment with them on their travels. They could use any touch-tone phone. 

antique business call collector s item

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The system was invented largely by tech-savvy psychologists (including Stephen Boies, John Gould, John Richards, & Jim Schoonard). When they observed people actually using the system, they discovered that the trial users more often used the ancillary messaging facility than they did the “real” dictation features. So, the system was redesigned and repurposed and then renamed, “The Audio Distribution System.” In some ways, using the “Audio Distribution System” was much like leaving a message on an answering machine. However, there were some crucial differences. Typically, a person calling someone and encountering, instead of a human being, a message asking them to leave another message was somewhat taken aback. Many messages on answering machines went something like this: “Hi. Stephen? Oh, you’re not there. OK.  This is John. I was hoping … well, I thought you’d be in. Uh. Let’s see. You know what? Call me back. We need to talk.” And, when Stephen discovered that he had a message, he might listen to it and call back John. “Hi, John. Stephen here… I … oh. OK. A message. Sorry. You just called me. Well, um. I’m not sure what you wanted to talk about so. Call me back when you get a chance.”

hands animal zoo black

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By contrast, when someone called the “Audio Distribution System” they knew ahead of time they’d be interacting with a machine. So, they could compose a reasonable message before calling the system. Hence, the messages tended to be more coherent and useful; e.g., “Hi, Stephen. This is John. If it’s okay with you, I’m taking off this Friday for a long weekend. If you have any issues with that, let me know.” See? Easy and efficient. 

A second critical difference was that you could listen to your message and edit it. People didn’t do this so often as you might think, but it was comforting to know that you could in case you really messed up. (For instance, a person might say, “You are fired!” when all along they meant to say, “You are NOT fired.”). 

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Introducing any new system will have consequences, both intended and unintended. I wanted to see what some of these consequences might be. Corporations, IBM included, like it when they sell lots of product and make lots of money. A related question then was – what is the value of this product to the customer? Why should they want to buy it? 

One hypothesis I wanted to test out was that such a system would increase people’s perceived Peace of Mind. After you leave a meaningful message for someone, you can “cross off” that little item off your mental (or written) “to do” list. By using the Audio Distribution System, I thought one of the user benefits would be increased “Peace of Mind” because they would be able to leave a message any time and any place they had access to a touch tone phone. They could save their working memory capacity for “higher level” activities such as design, problem solving, and decision making. We were going to roll out a beta test of the Audio Distribution System at the divisional headquarters for the IBM Office Products Division (OPD), in Franklin Lakes, New Jersey. Not coincidentally, OPD would be the division selling the Audio Distribution System (just as they were now selling dictation equipment). Before the trial commenced, I developed a questionnaire designed to get at how much people felt harried, too busy, coping, etc. The hope was that I could compare the “Peace of Mind” scores of people who did and did not get the Audio Distribution System and perhaps show that those with the system felt more at peace than those without. I could also compare “before and after” for those internal beta customers who had the system. 

photo of golden gautama buddha

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Before I was to roll-out and administer the “Peace of Mind” questionnaire to a sample of people at the OPD Franklin Lakes location, guess what happen just two days before the beta roll-out? OPD was re-organized out of existence! The people who worked there would now be looking for another job elsewhere in IBM (or, failing that, just elsewhere period). The beta trial was cancelled. In any case, even if it hadn’t been cancelled, the impact of the re-organization would have completely swamped (in my estimation) the impact of this new tool. Moreover, it struck me as insensitive and slightly even unethical to ask people to fill out a questionnaire about how hassled they were feeling just days after finding out their entire division had been blown up. How would you react if some psychologist from the Research Center showed up asking you to fill out a questionnaire two days after finding out you no longer had a job?

photography of green and red fire works display

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What is the lesson learned here? You have to understand what is going on in the lives of your users over and above the functions and features directly related to your product or service. Of course, there is always a fairly good chance that some of your users will have overwhelming things going on in their lives that will impact their reactions to your product. Generally you won’t know about divorces, deaths in the family, toothaches, etc. But if something is impacting all your users, you’d best be aware of it and act accordingly. 

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Speech Filing System

Audio Distribution System – NY Times

Longer explanation of Audio Distribution System

Video of Audio Distribution System’s cousin: “The Olympic Message System”

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Author Page on Amazon

 

Chain Saws Make the Best Hair Trimmers

12 Thursday Jul 2018

Posted by petersironwood in America, management, psychology, Uncategorized

≈ 11 Comments

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autocracy, Business, collaboration, Design, fascism, Feedback, meritocracy, politics, teamwork

Continuing with the theme of deciding how much risk is “reasonable” to take in your career and your life, I’d like to share a story about my time at a mythical company we will label as NYNEXX. NYNEXX we’ll imagine, was one of the so-called “Baby Bells” who provided local phone service. It was created from the break-up of AT&TX. NYNEXX paid some marketing company millions to come up with the name which is for New Yorkx (telephone), New Englandx (telephone) and XX = who knows what we might do in the future!? And sure enough, within five years most people who were served by NYNEXX knew it was a brand of headache remedy. See, marketing is not nearly so scientific as some (particularly those selling marketing services) would have you believe. More about that another time. NYNEXX later merged with Bell Atlanticx and then with GTEx and has transmogrified into a company known as Verizonx. (Any resemblance to similarly named companies, such as NYNEX, of course, is purely coincidental).  

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This story concerns itself with professional advice I was asked to render. At the time, I was the executive director of the Artificial Intelligence Lab at NYNEXX Science and Technology. But my management chain knew that I was knowledgeable in Human-Computer Interaction, Human Factors, User Experience etc. In fact, I was asked to start up and then head up the AI Lab to do work in speech recognition, expert systems and machine vision. Before even accepting the job, I explained how much we also needed a group doing Human-Computer Interaction research. This turned out to be a wonderful thing for all the obvious reasons, but one of the non-obvious reasons was that it helped cement HCI into the minds of my management. 

black and white board boardroom business

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A hot summer day, several of us were called into a conference room by one of the chief aids to the CEO so we could advise on a new proposal the CEO had for increasing trust of top management. You probably intuit quite well that it’s important for workers and managers to trust the top management of the company. The numbers for NYNEXX at that time (decades ago) had been abysmal several years running. The first year that they reported results, only something like 14% of the workers trusted top management. The numbers were even worse for lower management than for union workers. Top management decided the reason for these terrible results was that people did not know enough about top management and the reasons for their decisions. So, they instituted a plan to TELL people more about why what top management was doing was RIGHT, damn it! They did this for a year and then re-measured the results. Now, the percentage of workers who trusted top management had skyrocketed all the way to about 10%! Wow! In the company rag, which I believe was called The Leader, they reported last year’s numbers, this years numbers, and then said that with all their success, they would continue the program for another year. Huh? Yeah, right? And this was way back when Donald Trump was still merely a racist, misogynistic, unfaithful, bankrupt builder.  

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The top NYNEXX management had called in one of the top business consultants on the topic of trust and he related to them the story of Sam Walton. You have to understand that whatever you may think of Sam Walton, Wal-Mart, or the Walton heirs, he was a down to earth, hands-on manager. He would spend half his time riding around in his pick-up truck with his hound dogs in the rear of the truck and go personally to the stores and see how things were going and talk to his store managers. At some point, the business grew so large that it took a long time to get back to every store so they started an hour long conference call each week. Each of his store managers called in to a conference call number and any manager could explain in one minute, a problem that they had encountered and solved. Since each of the store managers might face many of these same problems, this sounded like a very useful exercise in knowledge sharing and organizational learning. Part of the reason it worked as well as it did was no doubt because the managers could relate to Sam Walton. They already trusted him because of all his personal contact and the reputation that arose from that personal contact. I am sure the conference calls served to further enhance mutual trust in the organization as well as provide valuable organizational learning. 

The chief aide from the CEO’s office explained all this to us by way of background. Next, he revealed their “take-away” and plan from the consultant’s consultation. They would do what Sam Walton did! He was trusted! So, now they would be trusted. Well, the design rationale thus exposed caused that same facial expression to appear on my face as when I discover that the jar of garlic-filled olives I was looking forward to consuming is completely encased in a finely feathered grey mold. Why the crinkled nose? Because NYNEXX top execs were nothing like Sam Walton when it came to being content to be “just folks.” They didn’t drive pick-up trucks, but were chauffeured in stretch limos. They didn’t ever wear jeans and a plaid shirt. They wore 3-piece suits. Even in the shower. So, already this plan was showing a serious issue. It seemed to me that it would succeed in about the same degree as my wearing the same brand of shoes that Rafa Nadal wears would enable me to create the same degree of speed and top-spin on my forehand drives that he does. Aside from the much more collegial nature of Walton’s relationship to his employees than our executives enjoyed, the other major difference is that all the Wal-Mart store owners faces at least some similar problems. There was a reason to share information. By contrast, the diversity of contexts and jobs and roles that NYNEXX managers faced was tremendous. Some sold yellow page advertising. Some led AI labs. Some managed repair crews. Some managed coin-counting operations. Still others were in charge of long-distance operators.

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At the time, there were about 1000 Wal-Mart stores but there were 70,000 NYNEXX managers, so the top management at my company decided it simply would not do to allow them all to talk; it would be chaos. So, to increase “trust” in top management, all 70,000 NYNEXX managers would leave whatever else they were doing each Friday morning at 9 am and dial in to a conference call and hear the CEO talk at them for a solid hour. So, here’s one dilemma. As a so-called Human Factors Expert, I am supposed to take humans as they are and design to them. But I am sitting in the meeting thinking, “How the hell can adult human beings in management not be smart enough to see what a bad idea this is!” But it’s antithetical to the premises of the field to yield to the temptation to shout that. 

And now the aide approaches the punchline, with this gem. “But we do want to make it interactive. At the very end of the hour, each manager will press one of the keys on their touch tone pad and we’ll record their answers. So, for example, the CEO might talk for an hour about how important it was for each manager to know precisely their job responsibilities. And, then, at the end of the talk, every manager would be told to indicate by touch tone on a ten-point scale how well they knew their job responsibilities.” So, this was the plan. Now, the aide turns to me and says, “So, that’s why we need your help. You’re a human factors expert. Should we have them use the “0” key for ten? Or should we use “9” for the top of the scale and “0” at the bottom? Which one?”

antique business call collector s item

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Here we have an example of a classic dilemma in human-computer interaction. The boss/developer/client/customer asks you a very specific question. You could answer the question, but you know that it is the wrong question. Do you answer their question? Or, do you point out that they’ve asked the wrong question? And, what if you point out that it’s the wrong question and they insist that you answer the question asked, not the one you think they should have asked? I do not think that one answer is correct for all circumstances. How much are you willing to risk? It will depend on culture, for instance, and your circumstances; how much your own boss supports you; how much you care about keeping your current job – and many other factors. Here is what happened in this case: 

I explained to this aide as clearly and calmly as I could that this whole idea sucked big time and why it sucked. No, I didn’t use that term. On the other hand, I probably could have toned down the exasperation in my voice just a tad. But sometimes, a degree of righteous anger is appropriate. It wasn’t simply that this was a bad design. It was a bad design because they had no understanding of how trust is created or any ability to empathize with their 70,000 managers that they were supposed to be leading. So, it’s not clear to me that it was inappropriate to be a bit exasperated. 

The aide’s face grew red. He got a pugnacious look on the front of his head and said, “WELL! When my boss, who by the way, is the CEO, asks me what the best way to do something is, it is my job to tell him the best way, not to tell him it’s a bad idea!” 

To which, I responded, “Well, when my boss asks me which type of chain saw is best for him to use to trim his hair, it’s my responsibility to tell him that a chain saw is a really bad way to cut his hair!” 

It makes me chuckle to recall it, but the aide didn’t find it all that funny. One of my colleagues also pointed out the telephone traffic congestion peak created by having 70,000 people call in simultaneously. We apparently put enough doubt in their collective corporate mind that they ran some focus groups on the idea and it was thankfully never actually implemented. 

Silly ideas like this may soon grow more common and the penalties for pointing out the truth may well grow more severe. We all have to ask ourselves how much we will tell the truth — and how much we will answer the wrong question in order to save our jobs, our ratings, our lives. This is not an issue limited to human factors and user experience. It can happen anywhere when people are put in charge based on something other than experience, expertise and a commitment to excellence. 

man cutting tress using chainsaw

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Author Page on Amazon. 

Madison Keys, Francis Scott Key, the “Prevent Defense” and giving away the Keys to the Kingdom. 

07 Saturday Jul 2018

Posted by petersironwood in America, family, management, psychology, sports, Uncategorized

≈ 1 Comment

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Business, career, HCI, human factors, IBM, life, school, sports, UX

Madison Keys, Francis Scott Key, the “Prevent Defense” and giving away the Keys to the Kingdom. 

Madison Keys, for those who don’t know, is an up-and-coming American tennis player. In this Friday’s Wimbledon match, Madison sprinted to an early 4-1 lead. She accomplished this through a combination of ace serves and torrid ground strokes. Then, in an attempt to consolidate, or protect her lead, or play the (in)famous “prevent defense” imported from losing football coaches, she managed to stop hitting through the ball – guiding it carefully instead — into the net or well long or just inches wide. 

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Please understand that Madison Keys is a wonderful tennis player. And, her “retreat” to being “careful” and playing the “prevent defense” is a common error that many professional and amateur players fall prey to. It should also be pointed out that what appears to be overly conservative play to me, as an outside observer, could easily be due to some other cause such as a slight injury or, even more likely, because her opponent adjusted to Madison’s game. Whether or not she lost because of using the “prevent defense” no-one can say for sure. But I can say with certainty that many people in many sports have lost precisely because they stopped trying to “win” and instead tried to protect their lead by being overly conservative; changing the approach that got them ahead. 

Francis Scott Key, of course, wrote the words to the American National Anthem which ends on the phrase, “…the home of the brave.” Of course, every nation has stories of people behaving bravely and the United States of America is no exception. For the American colonies to rebel against the far superior naval and land forces (to say nothing of sheer wealth) of the British Empire certainly qualifies as “brave.” 

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In my reading of American history, one of our strengths has always been taking risks in doing things in new and different ways. In other words, one of our strengths has been being brave. Until now. Now, we seem in full retreat. We are plunging headlong into the losing “prevent defense” borrowed from American football. 

American football can hardly be called a “gentle sport” – the risk of injury is ever present and now we know that even those who manage to escape broken legs and torn ligaments may suffer internal brain damage. But there is still the tendency of many coaches to play the “prevent defense.” In case you’re unfamiliar with American football, here is an illustration of the effect of the “prevent defense” on the score. A team plays a particular way for 3 quarters of the game and is ahead 42-21. If you’re a fan of linear extrapolation, you might expect that  the final score might be something like 56-28. But coaches sometimes want to “make sure” they win so they play the “prevent defense” which basically means you let the other team make first down after first down and therefore keep possession of the ball and score, though somewhat slowly. The coach suddenly loses confidence in the method which has worked for 3/4 of the game. It is not at all unusual for the team who employs this “prevent defense” to lose; in this example, perhaps, 42-48. They “let” the other team get one first down after another. 

red people outside sport

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America has apparently decided, now, to play a “prevent defense.” Rather than being innovative and bold and embrace the challenges of new inventions and international competition, we instead want to “hold on to our lead” and introduce protective tariffs just as we did right before the Great Depression. Rather than accepting immigrants with different foods, customs, dress, languages, and religions — we are now going to “hold on to what we have” and try to prevent any further evolution. In the case of American football, the prevent defense sometimes works. In the case of past civilizations that tried to isolate themselves, it hasn’t and it won’t. 

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This is not to say that America (or any other country) should right now have “open borders” and let everyone in for every purpose. Nor should a tennis player hit every shot with all their might. Nor should a football team try the riskiest possible plays at every turn. All systems need to strike a balance among replication of what works, providing defense of what one has and exploring what is new and different. That is what nature does. Every generation “replicates” aspects of the previous generation but every generation must also explore new directions. Life does this through sexual selection, mutation, and cross over. 

This balance plays out in career as well. You need to decide for yourself how much and what kinds of risks to take. When I obtained my doctorate in experimental psychology, for example, it would have been relatively un-risky in many ways to get a tenure-track faculty position. Instead, I chose managing a research project on the psychology of aging at Harvard Med School. To be sure, this is far less than the risk that some people take when; e.g., joining “Doctors without borders” or sinking all their life savings (along with all the life savings of their friends and relatives) into a start-up. 

At the time, I was married and had three small children. Under these circumstances, I would not have felt comfortable having no guaranteed income. On the other hand, I was quite confident that I could write a grant proposal to continue to get funded by “soft money.” Indeed, I did write such a proposal along with James Fozard and Nancy Waugh who were at once my colleagues, my bosses, and my mentors. Our grant proposal was not funded or rejected but “deferred” and then it was deferred again. At that point, only one month of funding remained before I would be out of a job. I began to look elsewhere. In retrospect, we all realized it would have been much wiser to have a series of overlapping grants so that all of our “funding eggs” were never in one “funding agency’s basket.” 

brown chicken egg

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I began looking for other jobs and had a variety of offers from colleges, universities, and large companies. I chose IBM Research. As it turned out, by the way, our grant proposal was ultimately funded for three years, but we only found out after I had already committed to go to IBM. During this job search, I was struck by something else. My dissertation had been on problem solving but my “post-doc” was in the psychology of aging. So far as I could tell, this didn’t bother any of the interviewers in industry in the slightest. But it really freaked out some people in academia. It became clear that one was “expected” in academia, at least by many, that you would choose a specialty and stick with it. Perhaps, you need not do that during your entire academic career, but anything less than a decade smacked of dilettantism. At least, that was how it felt to me as an interviewee. By contrast, it didn’t bother the people who interviewed me at Ford or GM that I knew nothing more than the average person about cars and had never really thought about the human factors of automobiles. 

Photo by Pixabay on Pexels.com
Photo by Pixabay on Pexels.com
Photo by Pixabay on Pexels.com
Photo by Pixabay on Pexels.com

The industrial jobs paid more than the academic jobs and that played some part in my decision. The job at GM sounded particularly interesting. I would be “the” experimental psychologist in a small inter-disciplinary group of about ten people who were essentially tasked with trying to predict the future. The “team” included an economist, a mathematician, a social psychologist, and someone who looked for trends in word frequencies in newspapers. The year was 1973 and US auto companies were shocked and surprised to learn that their customers suddenly cared about gas mileage! These companies didn’t want to be shocked and surprised like that again. The assignment reminded me of Isaac Asimov’s fictional character in the Foundation Trilogy — Harry Seldon — who founded “psychohistory.” We had the chance to do it in “real life.” It sounded pretty exciting! 

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On the other hand, cars seemed to me to be fundamentally an “old” technology while computers were the wave of the future. It also occurred to me that a group of ten people from quite different disciplines trying to predict the future might sound very cool to me and apparently to the current head of research at GM, but it might seem far more dispensable to the next head of research. The IBM problem that I was to solve was much more fundamental. IBM saw that the difficulty of using computers could be a limiting factor in their future growth. I had had enough experience with people — and with computers — to see this as a genuine and enduring problem for IBM (and other computer companies); not as a problem that was temporary (such as the “oil crisis” appeared to be in the early 70’s). 

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There were a number of additional reasons I chose IBM. IBM Research’s population at the time showed far more diverse than that of the auto companies. None of them were very diverse when it came to male/female ratios. At least IBM Research did have people from many different countries working there and it probably helped their case that an IBM Researcher had just been awarded a Nobel Prize. Furthermore, the car company research buildings bored me; they were the typical rectangular prisms that characterize most of corporate America. In other words, they were nothing special. Aero Saarinen however, had designed the IBM Watson Research Lab. It sat like an alien black spaceship ready to launch humanity into a conceptual future. It was set like an onyx jewel atop the jade hills of Westchester. 

I had mistakenly thought that because New York City was such a giant metropolis, everything north of “The City” (as locals call it) would be concrete and steel for a hundred miles. But no! Westchester was full of cut granite, rolling hills, public parks of forests marbled with stone walls and cooled by clear blue lakes. My commute turned out to be a twenty minute, trafficless drive through a magical countryside. By contrast, since Detroit car companies at that time held a lot of political power, there was no public transportation to speak of in the area. Everyone who worked at the car company headquarters spent at least an hour in bumper to bumper traffic going to work and another hour in bumper to bumper traffic heading back home. In terms of natural beauty, Warren Michigan just doesn’t compare with Yorktown Heights, NY. Yorktown Heights even smelled better. I came for my interview just as the leaves began painting their autumn rainbow palette. Westchester roads even seemed more creative. They wandered through the land as though illustrative of Brownian motion, while Detroit area roads were as imaginative as graph paper. Northern Westchester county sports many more houses now than it did when I moved there in late 1973, but you can still see the essential difference from these aerial photos. 

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Warren-map

The IBM company itself struck me as classy. It wasn’t only the Research Center. Everything about the company stated “first class.” Don’t get me wrong. It wasn’t a trivial decision. After grad school in Ann Arbor, a job in Warren kept me in the neighborhood I was familiar with. A job at Ford or GM meant I could visit my family and friends in northern Ohio much more easily as well as my colleagues, friends and professors at the U of M. The offer from IBM felt to me like an offer from the New York Yankees. Of course, going to a top-notch team also meant more difficult competition from my peers. I was, in effect, setting myself up to go head to head with extremely well-educated and smart people from around the world. 

You also need to understand that in 1973, I would be only the fourth Ph.D. psychologist in a building filled with physicists, mathematicians, computer scientists, engineers, and materials scientists. In other words, nearly all the researchers considered themselves to be “hard scientists” who delved in quantitative realms. This did not particularly bother me. At the time, I wanted very much to help evolve psychology to be more quantitative in its approach. And yet, there were some nagging doubts that perhaps I should have picked a less risky job in a psychology department. 

The first week at IBM, my manager, John Gould introduced me yet another guy named “John” —  a physicist whose office was near mine on aisle 19. This guy had something like 100 patents. A few days later, I overheard one of John’s younger colleagues in the hallway excitedly describing some new findings. Something like the following transpired: 

“John! John! You can’t believe it! I just got these results! We’re at 6.2 x 10 ** 15th!” 

His older colleague replied, “Really? Are you sure? 6.2 x 10 ** 15th?” 

John’s younger colleague, still bubbling with enthusiasm: “Yes! Yes! That’s right. You know. Within three orders of magnitude one way or the other!” 

I thought to myself, “three orders of magnitude one way or the other? I can manage that! Even in psychology!” I no longer suffered from “physics envy.” I felt a bit more confident in the correctness of my decision to jump into these waters which were awash with sharp-witted experts in the ‘hard’ sciences. It might be risky, but not absurdly risky.

person riding bike making trek on thin air

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Of course, your mileage may differ. You might be quite willing to take a much riskier path or a less risky one. Or, maybe the physical location or how much of a commute is of less interest to you than picking the job that most advances your career or pays the most salary. There’s nothing wrong with those choices. But note what you actually feel. Don’t optimize in a sequence of boxes. That is, you might decide that your career is more important than how long your commute is. Fair enough. But there are limits. Imagine two jobs that are extremely similar and one is most likely a little better for your career but you have to commute two hours each way versus 5 minutes for the one that’s not quite so good for your career. Which one would you pick? 

In life beyond tennis and beyond football, one also has to realize that your assessment of risk is not necessarily your actual risk. Many people have chosen “sure” careers or “sure” work at an “old, reliable” company only to discover that the “sure thing” actually turned out to be a big risk. I recall, for example, reading an article in INC., magazine that two “sure fire” small businesses were videotape rental stores and video game arcades. Within a few years of that article, they were almost sure-fire losers. Remember Woolworths? Montgomery Ward?

At the time I joined IBM it was a dominant force in the computer industry. But there are no guarantees — not in career choices, not in tennis strategy, not in football strategy, not in playing the “prevent defense” when it comes to America. The irony of trying too hard to “play it safe” is illustrated this short story about my neighbor from Akron: 

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Wilbur’s Story

Wilbur’s dead. Died in Nam. And, the question I keep wanting to ask him is: “Did it help you face the real dangers? All those hours together we played soldier?”

Wilbur’s family moved next door from West Virginia when I was eleven. They were stupendously uneducated. Wilbur was my buddy though. We were rock-fighting the oaks of the forest when he tried to heave a huge toaster-oven sized rock over my head. Endless waiting in the Emergency Room. Stitches. My hair still doesn’t grow straight there. “Friendly fire.”

More often, we used wooden swords to slash our way through the blackberry and wild rose jungle of The Enemy; parry the blows of the wildly swinging grapevines; hide out in the hollow tree; launch the sudden ambush.

We matched strategy wits on the RISK board, on the chess board, plastic soldier set-ups. I always won. Still, Wilbur made me think — more than school ever did.

One day, for some stupid reason, he insisted on fighting me. I punched him once (truly lightly) on the nose. He bled. He fled crying home to mama. Wilbur couldn’t stand the sight of blood.

I guess you got your fill of that in Nam, Wilbur.

After two tours of dangerous jungle combat, he was finally to ship home, safe and sound, tour over — thank God!

He slipped on a bar of soap in the shower and smashed the back of his head on the cement floor.

Wilbur finally answers me across the years and miles: “So much for Danger, buddy,” he laughs, “Go for it!”

Thanks, Wilbur.

Thanks.

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And, no, I will not be giving away the keys to the kingdom. Your days of fighting for freedom may be over. Mine have barely begun.


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Happy July 4th

04 Wednesday Jul 2018

Posted by petersironwood in America, management, psychology, Uncategorized

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Business, collaboration, competition, Feedback, Human-Computer Interaction, learning, life, politics, psychology, science, teamwork, UX

As we celebrate in America, let’s not forget that many people fought long and hard to gain our independence and then to keep it. Let’s honor them by making sure we keep our independence. It would be a shame to lose it on the battlefield…and even more of a shame to lose it to greed.

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It would also be a good time to recall that America is not alone in the struggle against tyranny. Many other countries had to fight and win their independence – and in other cases, people are still fighting for their freedom.

 

Photo by Pixabay on Pexels.com
Photo by Pixabay on Pexels.com
Photo by Pixabay on Pexels.com
Photo by Pixabay on Pexels.com

As I mentioned before, I am temporarily suspending additions to the Pattern Language of ‘best practices’ in collaboration and teamwork and shifting to a different genre for a time. I’m still quite interested in collaboration and teamwork; I am interested in working together to learn from each other how to do that better. As I’ve tried to point out, while competition certainly has a place, both in nature and in human civilization, in human civilization, it needs to be done within an agreed upon framework. Otherwise, competition spins out of control into anarchy and violence. Of course, this has happened before in human history. This time, when our very lives depend on a global network of interconnectedness, anarchy will be worse than ever before. For now, however, I’ve listed most of the major Patterns I’ve run into. I will continue to elicit and look for additional relevant Patterns. If you think of one, please comment on the summary/index or email me at: truthtable@aol.com

 

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Meanwhile, I’ve decided to share a number of experiences from my career as a researcher and practitioner in psychology, AI, and the field of human-computer interaction/user experience. I will relate these as honestly and completely as I think useful. In some cases, I may use pseudonyms to avoid embarrassing anyone. Clearly, stories are told from my perspective, and others might remember things differently, if at all. 

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The reasons for recounting these stories is basically threefold. First, studying a field such as psychology, or human-computer interaction is related to actually working in the field but not so much as you might think. For the most part, the errors I’ve made and the lessons that I’ve learned in the course of a long career are not primarily technical. The main lessons are socio-technical. Hopefully, people considering a career in a related field may learn from my mistakes. But aside from pointing out mistakes made, I hope to give a flavor for what it’s really like to work in the field. 

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Pattern Language Summary

29 Friday Jun 2018

Posted by petersironwood in America, management, psychology, Uncategorized

≈ 104 Comments

Tags

Anti-Pattern, bully, Business, collaboration, competition, cooperation, innovation, Overview, Pattern, pattern language, politics, tyrant

A fellow writer recently posted a story seed on Facebook: “The World is Made of Glass.” 

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I immediately thought: “Indeed it is. And that glass can be extremely beautiful but it is also fragile. It is called ‘mutual trust.’ We live in a globally interconnected world that fundamentally depends on that mutual trust.” 

I recall that when I was eleven years old, if my friends and I saw a bottle on our travels, we would find a way to destroy it. Before we actually destroyed it, we would discuss the most fun method. Would we chuck stones at it? Or would take turns throwing it high in the air and wait for it to crash upon the ground? One thing we never discussed: whether or not smashing the bottle was a good idea. It never occurred to us that time and effort had gone into making the bottle. It never occurred to us that someone might come along and cut themselves or their bike tires on the broken glass. It never occurred to us that a shard of glass might go flying into someone’s cornea. 

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Stupid. But I was eleven. Now, quite astoundingly, I find people who should be decades beyond knowing better want to break bottles just for the hell of it. They want to destroy the current network of agreements, treaties, compromises, supply chains, currency exchanges and replace it with … ? The goal of the pre-teen billionaires? An extremely divided society in which a very small number of people will hold all the wealth and all the power and control all the sources of information. Most people on earth will essentially be their slaves. It will be a world run by men, not laws. This “break everything and then grab all the pie for yourself” goal might succeed but I think a more likely outcome is the destruction of civilization. 

Suddenly realigning the nations of the nuclear-armed world when many of them will be headed by essentially authoritarian dictators is extremely dangerous in terms of beginning an atomic war. War and war-like rhetoric are standard tools for autocrats to consolidate their power. 

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Even if atomic war is somehow avoided, billions of people could die. No, not millions. Billions. As I’ve mentioned before, most of us know how to survive and thrive in a particular context and we’ve become largely unaware of the extent to which the adaptive habits in our brains depend on our network of friends, family, and information sources. Not only will infrastructure and supply chains falter, fray, and fail; Anti-Patterns for collaboration will prevail over Patterns. This will make life more miserable but it will also make what people do far less efficient and effective as well. 

closeup of mirror shards

Photo by Amber Lamoreaux on Pexels.com

I think anyone can do the necessary extrapolation. Becoming better at positive collaboration and increasing mutual trust will have two effects; at least, so I claim. First, there will be a local effect: whatever work you’re doing will become more pleasurable and effective. Second, there will also be a more global effect: you are providing a model of what works for others; you are also making them feel good about working with others; increasing their trust in each other and, to some extent, in their fellow humans. Better collaboration, teamwork, and cooperation can help prevent the destruction of our glass world. 

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Needless to say, the world is hardly perfect. It does need to change. That can be done in a collaborative way that leaves people alive; respects individuals; protects important freedoms. Real improvements will not be made by isolating nations, by trade wars, by shooting wars, by reneging on signed agreements, by tearing families apart, by cruelty. 

And yet, there is reason for hope – and action. People around the world are interested in learning how to collaborate better. That’s one reason for hope!

 

——————————————————

Here is an index to the Patterns and Anti-Patterns that have been presented in this blog. 

Special Spaces & Wonderful Places introduces the concept of a Pattern Language.

“Who Speaks for Wolf?” reminds us to seek the input of all stakeholders and relevant areas of expertise before making a decision.

“Reality Check” reminds us that we cannot settle for ersatz measures; at least periodically, we must make sure we understand what is really happening.

Small Successes Early suggests that before launching into a complex project, especially when strangers must collaborate, it is useful to first tackle a smaller, shorter term project so people can build mutual trust.

Small Successes Early: Metaphor & Fable is an experiment in additional, potentially useful new parts of a Pattern. Although they seemed useful in this particular Pattern, I am not certain that they should be a normal part of a Pattern.

Radical Collocation suggests that for some types of complex problems it is important to put everyone together in the same space. Particularly relevant when the structure of the problem is not completely known ahead of time.

Meaningful Initiation can be a significant source of group cohesion but if done poorly, it can become an excuse for people to act cruelly. In that case, it can backfire.

The Iroquois Rule of Six suggests that we do not glom onto the first interpretation that comes to mind when it comes to interpreting the behavior of others.

Greater Gathering is a way for people to feel connected to the larger organization that they belong to – over and above those they come into frequent contact with.

Context-Setting Entrance allows people to know how they should act once inside a physical or virtual place.

Bohm Dialogue is a way of relating non-competitively. Rather than “making points” to “prove” one’s pre-existing beliefs, people work together to build a joint understanding.

Build from Common Ground – Rather than trying to be overly “efficient” by jumping right into “resolving” differences, it works much better to begin by establishing common ground in terms of experiences, likes, values, hobbies, concerns, etc.

Use Thoughtful Group Feedback Structures and Processes in order to provide useful information in a way that maximizes its likelihood of actually being used.

Indian Wells Tennis Tournament is not a Pattern per se. The purpose of this interlude is to provide an example of complex collaboration. Often, when we use a service, buy a product, or attend an event, we fail to think about how much complex collaboration is necessary to make it happen.

Negotiate from Needs, not Positions. Often, creative solutions to negotiations can be discovered by working together to understand the situation from each other’s perspective.

Give a Sympathetic Reading. If you work together with others in good faith, it pays to do your best to interpret what others say in a way that makes sense, if you can find one.

Positive Deviance. There is always variation in the way people do things. In a large enough population, it often happens that a few people may have solved a problem that faces everyone. That information, often implicit, can improve the lives of the entire population.

Music binds people together. This post explores some of the possible reasons.

Narrative Insight Method describes techniques for gather valuable knowledge from experts through the use of storytelling.

Fostering Group Cohesion through Common Narratives is another storytelling technique: in this case, one focuses on building and disseminating stories that illustrate common values.

Fostering Community Learning via Transformed Narratives. This helps solve a dilemma. For organizational learning, it’s crucial to learn from people’s mistakes. Ordinarily though, mistakes are not just used for learning but to bar one from advancement, raises, and the esteem of one’s colleagues.

Speak Truth to Power says that those in power must hear the truth rather than simply what will make them happy. (See also Anti-Pattern: Kill the Messenger).

Find and Cultivate Allies in complex organizations. Often, necessary allies may not be immediately obvious from official org charts.

Support Both Flow & Breakdown if you want to avoid systems that crash catastrophically.

Use Diversity as a Resource. This can be especially useful in finding and formulating problems, generating ideas, synthesizing ideas, looking for bugs, finding creative ways to market and sell products, etc.

The Day From Hell: Why Does Anyone Care?  A fantasy of how the simplest most mundane things could become nightmares of conflict without cooperation and collaboration. (Not a Pattern – a motivation for a Pattern Language.)

Collaboration Patterns: A Pattern Language for Creative Collaborations. This is a pointer to a so-far unrelated attempt to build a Pattern Language for Collaboration.

Anti-Pattern: Power Trumps Good This is the first of a series of ANTI-Patterns; that is, things to be avoided. Might does not make right; but when people act as though it is, the most powerful rather than the most competent calls the shots.

Anti-Pattern: Gratuitous Push Down This Anti-Pattern describes the behavior that some people engage in of useless and unnecessary cruelty. They push people down for no reason.

Anti-Pattern: Kiss Up; Kick Down People obsessed with power for its own sake will tend to be very solicitous who have more power and show no respect for those whom they oversee

Anti-Pattern: Conjure a Common Enemy This is a common trick of tyrants. They will point first to some very unpopular group and exaggerate its influence, power, or ill intent. In some cases the “enemy” can be completely imaginary. Eventually, the “common enemy” is anyone who disagrees with the tyrant.

Anti-Pattern: Taking Credit & Spreading Blame. Another common tyrant trick is to take credit for everything good even when they had nothing to do with it and to spread blame on others even if they had nothing to do with the bad outcome.

Anti-Pattern: Kill the Messenger This is the opposite of a Learning Organization. Tyrants want to “kill the messenger” because they bring bad news.

Anti-Pattern: Cascading Betrayal Since the organization built by a tyrant does not rely on affection or competence, once power starts to crumble, people will begin to desert the tyrant. Viewed from a different perspective, some may simply decide to do what’s right rather than what’s easiest or most profitable.


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Anti-Pattern: Kill the Messenger

28 Thursday Jun 2018

Posted by petersironwood in America, management, psychology, Uncategorized

≈ 1 Comment

Tags

advertising, Anti-Pattern, bully, Business, collaboration, cooperation, learning, marketing, media, Pattern Langauge, politics

This may be the last in the series of socio-technical Anti-Patterns (that is, things you want to avoid doing). Although I do think there is value in the Anti-Patterns (or I wouldn’t have bothered), I think the emphasis should be on the Patterns. It’s also personally depressing to write about Anti-Patterns right now because every time I write about how a particular type of behavior is to be avoided, it happens in real life! In abundance! Without apology! 

This is why I also included the “what if” story about tennis. I really think people do not quite see how utterly dependent the vast majority of us are on complex, globe-spanning interactions which are, at bottom, based on mutual trust.

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Photo by rawpixel.com on Pexels.com

Once we erode that trust, literally millions will die even if war is avoided – which itself seems a remote possibility. It is a bit, I suppose, like the proverbial story about fish not “realizing” they are in water because it’s all they’ve ever known. People exist and thrive because of this network of trust. But they have no realization that it’s even there, let alone that it’s crucial. Once these networks are destroyed, they will be most likely be replaced by much simpler, less flexible ones based on power. There is a limit to how large these can grow because when possible, everyone will realize that such a network only really benefits the person at the top. So, they escape if they are able. Such power-based networks are also far less capable of innovation than ones based on trust, expertise and experience, fair incentives, the free flow of information. And, one of the main deficiencies in power-based networks is illustrated by the following Anti-Pattern.  

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Photo by Pixabay on Pexels.com

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Kill the Messenger

In the context of a crucial issue or task, important information is provided to the Person in Power: information that is critical in making the right decision or designing the proper course of action. When this information is delivered to the Person in Power (here abbreviated “PP”), they hear something they don’t like. So, they literally or figuratively, kill the messenger. 

At first blush, this Anti-Pattern seems insane. Of course, it is unfair and unethical to kill the messenger, but how does it benefit the PP who does the killing? Here’s the surprising answer: It doesn’t! Not in the least! He or she is encouraging people to avoid providing him with crucial information. It doesn’t benefit PP, but it does benefits his or her Id-Baby. Some people would say it benefits his or her ego, but that is not really in keeping with Freud’s original meaning of the words Ego, Id, and Superego. Or, to say it another way, killing the messenger is not good for the PP’s body or the PP’s long-term prospects; in other words, not for the adult PP (if there is one). Killing the messenger is an infantile reaction of the inner child who believes everything must be the way they want it to be. 

doll wearing eyeglasses

Photo by Pixabay on Pexels.com

There is, however, another reason – an also insane reason – for the PP to kill the messenger. He is now free to discredit the messenger. This in turn, if carried out as a policy against the Message  Sent by Messenger (here abbreviated “MSM”), people will begin to doubt the MSM and rely only on the PP for the “truth.” This reason shows a somewhat longer time-span of attention. After all, if people have a lot of experience with MSM that turns out to be quite useful information, it will take some time for the PP to destroy credibility of the MSM. But, it is still quite limited thinking; perhaps not a 2 year old, but more like a spoiled 13-year old from one of the more prestigious Prep Schools. Plans must change and we must be open to it. So, for the PP to destroy sources of potentially useful information to the PP, is still insane. 

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(Editorial Aside:  And, I must confess, I am totally bewildered that we while we shouldn’t and wouldn’t let an insane person drive a school bus, we would have one armed with nuclear weapons. Well, more than one.)

In various organizations and contexts, the specifics of Killing the Messenger vary as well as the degree to which it happens. “Killing the messenger” figuratively can be partial. For example, a company will likely fill its website with positive news about the company. They probably take a similar tack with employees. If they are required by law to tell you about a drug’s side-effects, they will do it while a beautiful woman in a white dress dances carelessly and weightlessly through a field of daisies and while somewhere magic elves are playing Beethoven’s Ode to Joy. Who wouldn’t want those side effects?! And, yet, that same company might be quite scrupulous about the accuracy of some of the data it depends on for its operational efficiency. So, it can be a mixed bag. At least, it can be a mixed bag for a normal organization or a normal person. 

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At one extreme, we might have some sort of highly enlightened guru who would immediately take in each new moment without judgement. Most people may initially have a negative reaction to bad news. They may not believe the messenger. They might say, “What? What did you say? No! You must be joking!” 

In some cases, even a normal person might lash out at a messenger. I can see that if a member of the Armed Services came to your door to tell you that your spouse had been killed, you might scream at the messenger. But, if you’re more than a very small child, you realize it wasn’t their fault. 

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But no sane adult would block out potentially crucial information that should inform their critical decisions. A sane adult would seek out additional sources of information; cross-check them against each other; surround himself with smart, competent people honest enough to tell the truth, even when it “hurts.” Without the truth to work with, a PP is just a Powerless Puppet to their own Id — or, likely, someone else’s.

Perhaps you have been the recipient of some variant of “Kill the Messenger”? Or observer?

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 I will post another Pattern Language Overview that includes the newer Patterns and Anti-Patterns – with clickable links. After that, I plan to move in a quite different direction. 


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