Cognitive biases that impact your team performance

Cognitive biases that impact your team performance

By Eva Andrijcic
Assistant Professor
Engineering Management

Cognitive biases that impact your team’s performance

Psychologist Daniel Kahneman’s 2011 book “Thinking, Fast and Slow” has become the favorite of many of us who are interested in how cognitive biases impact our ability to make decisions, especially under constrained and uncertain conditions [1, 2]. According to Kahneman, cognitive heuristics are mental shortcuts that allow us to simplify our complex thought processes and come to a decision faster and with less mental investment.  Cognitive biases are the resulting effects of taking such shortcuts. It may be surprising to learn that cognitive biases are not always bad, but they often lead to poor decision making. Research has shown both laypeople and experts are prone to using them. Why do we use them, you may wonder, when many of us have been trained to carefully process data and information, clearly state and test our assumptions, and consider problems from a holistic perspective?

Kahneman (who has won a Nobel Memorial Prize in Economics) and his collaborator Amos Tversky (now deceased; had been a psychologist) hypothesized and proved that people unconsciously employ a variety of cognitive heuristics in specific situations:

  • When they have too much information to process, or conflicting information;
  • When they lack meaning/context;
  • When they have to operate under time constraints;
  • Or because they don’t have enough mental capacity to process all information.

Consequently, humans remember “representative” examples and extremes, they generalize, make assumptions, and create patterns, all of which allows them to make decisions faster. While, from an evolutionary perspective, this ability to react fast was needed for the human species to survive, it often causes us to make sub-optimal decisions which can have significant strategic implications.

When people learn about cognitive biases, their typical response is, “Yes, I know others are prone to these biases, but I am not, or not to the same degree,” which is a bias in itself (blind spot bias). In fact, most biases occur subconsciously so people don’t even know that they are using them, unless they have been trained to notice them.

A few months ago, while teaching a professional development seminar on cognitive biases to graduate students and working professionals, I decided to illustrate the degree to which we all (even experts!) fall prey to these cognitive biases.

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Should we “systems-think” about academic change?

Wisdom on academic change seems founded on seeing your desired shift from varying perspectives. For example, Bolman and Deal’s “Four frames,” which we use in our MACH workshops — that’s seeing a change from Political, Symbolic, Human Resource and Structural dimensions. Stopping to consider each of these points of view can generate ideas about how one’s hoped-for change will impact your organization, and ideas about what approaches are likely to be successful.

Categorizing DimensionsLeft — Participants at the 2015 MACH Workshop categorize their problems in different dimensions. What perspective will turn out to be the most productive, in guiding change?So, you may be thinking, for the most sweeping changes, perhaps the broadest possible perspectives can be useful? Well, what are those?

It turns out we have already wrestled with that question in engineering — especially on large, multi-disciplinary projects which could affect people or things that aren’t in our direct line of sight. The field of “systems engineering” is the generic name for this area of work. Systems engineers love wicked, open-ended problems which seem almost impossible to solve, and they have developed ideas and methods to deal with these. They try to see these conundrums and their alternative solutions over time, via different angles, and from the eyes of many people.
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The Power of Practice

The Power of Practice

No one likes to get caught without a response in a challenging situation. Change agents know challenging situations are coming. One strategy for managing these scenarios is to practice ahead of known events. Practicing is supported by conversational models. Many conversation models exist; the trick is knowing how to deploy and practicing in advance.

A typical exchange might be…

Angry Colleague: Serious attack that contains no specific points but predicts disaster.
Change Agent: Neutral response.
Angry Colleague: Escalating attack that makes further dire claims.
Change Agent: Heated response.
Angry Colleague: Character assassination.
Other Colleague: Calming and embarrassed intervention. Continue reading “The Power of Practice”