Nan picked up the last chunk of cookie and ate it. Peter and Trish had long ago finished theirs, but Nan liked making cookies last. "The critical thinking fallacies were my favorites," she said. "I like learning how to think more clearly."
Peter sipped his coffee. "Mmm." He swallowed. "But how do we avoid those fallacies?"
Nan had an idea. "Maybe we should inspect our project plans, like we inspect components."
Trish was intrigued. "Yeah, and I know what I'd put at the top of the checklist."
"OK, I'll bite," said Peter. "What?"
Trish was ready. "The Nine Project Management Fallacies."
Not a bad idea. These last three fallacies (Part IV of a little catalog of the fallacies of project management) are errors of critical thinking. For Part III, see "Nine Project Management Fallacies: III," Point Lookout for December 28, 2005.Non-random polling
might provide comfort,
but it's hardly
- The Normative Fallacy
- This fallacy holds that when we ask some people their opinions, and most of them agree, then they're correct. Usually we select people non-randomly, choosing those who will give us desirable answers, or those we can trust, or those of high rank.
- Non-random polling might provide comfort, but it's hardly scientific, and it almost always leads to biased conclusions.
- To get truly useful polling data, you must poll people randomly.
- The Availability Heuristic
- In risk management, we often estimate the probabilities of certain events. We're using the Availability Heuristic [Tversky 1973] when we estimate these probabilities by sensing the difficulty of imagining or understanding the string of events that lead to the risk.
- For instance, when we ask people whether death resulting from being attacked by a shark is more or less likely than from being hit by falling airplane parts, they usually answer that death by shark attack is more likely. Actually, death from being hit by falling airplane parts is 30 times more likely, but people are fooled because it's easier to imagine shark attacks, which are more common.
- Estimating probabilities is unlikely to produce reliable results. For this reason, the Availability Heuristic is usually considered an example of a cognitive bias. Use real data, or use huge error bars.
- The Grandiosity Fallacy
- Confronting a problem, we sometimes address a generalization of the problem instead, hoping to solve a host of similar problems, and thereby solving the original problem almost "for free." Rarely does the reality match the wish.
- Grandiosity usually generates two kinds of trouble. First, it's often more expensive and time-consuming than originally estimated. Second, the people of the organization rarely want the general solution. If they did, they probably would have sought it in the first place.
- Sometimes customers don't know the value of the general solution, and telling them about it might produce a better outcome. But usually they want only what they asked for. Work with them on that first.
Track the incidence of these nine fallacies in your organization. Use them to inspect project plans. Probably your projects will have fewer surprises, or at least you'll be just a little less likely to be hit by falling airplane parts. First in this series Top Next Issue
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For more on cognitive biases, see "The Focusing Illusion in Organizations," Point Lookout for January 19, 2011.
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More articles on Project Management:
- Dispersity Adversity
- Geographically and culturally dispersed project teams are increasingly common, as we become more travel-averse
and more bedazzled by communication technology. But people really do work better together face-to-face.
Here are some tips for managing dispersed teams.
- Bois Sec!
- When your current approach isn't working, you can scrap whatever you're doing and start again —
if you have enough time and money. There's a less radical solution, and if it works, it's usually both
cheaper and faster.
- How to Make Good Guesses: Tactics
- Making good guesses probably does take talent to be among the first rank of those who make guesses.
But being in the second rank is pretty good, too, and we can learn how to do that. Here are some
tactics for guessing.
- Symbolic Self-Completion and Projects
- The theory of symbolic self-completion holds that to define themselves, humans sometimes assert indicators
of achievement that either they do not have, or that do not mean what they seem to mean. This behavior
has consequences for managing project-oriented organizations.
- Irrational Deadlines
- Some deadlines are so unrealistic that from the outset we know we'll never meet them. Yet we keep setting
(and accepting) irrational deadlines. Why does this happen?
Forthcoming issues of Point Lookout
- Coming January 22: Disjoint Awareness: Bias
- Some cognitive biases can cause people in collaborations to have inaccurate understandings of what each other is doing. Confirmation bias and self-serving bias are two examples of cognitive biases that can contribute to disjoint awareness in some situations. Available here and by RSS on January 22.
- And on January 29: Higher-Velocity Problem Definition
- Typical approaches to shortening time-to-market for new products usually involve accelerating problem solving. Accelerating problem definition can also help. Available here and by RSS on January 29.
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Many people who possess real organizational power have a characteristic demeanor. It's the way they project their presence. I call this the power affect. Some people — call them power pretenders — adopt the power affect well before they attain significant organizational power. Unfortunately for their colleagues, and for their organizations, power pretenders can attain organizational power out of proportion to their merit or abilities. Understanding the power affect is therefore important for anyone who aims to attain power, or anyone who works with power pretenders. Read more about this program.