Understanding Decision-Making in Complexity

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Questions and Answers

What characterizes well-ordered domains?

  • They are unpredictable and complex.
  • They allow for systematic thinking and calculations. (correct)
  • They require reliance on stories and examples.
  • They are ambiguous and change rapidly.

Why are the ten claims about thinking more effectively sometimes misleading?

  • They are always applicable to complex situations.
  • They work best in well-structured environments. (correct)
  • They are based on intuition rather than analysis.
  • They simplify the knowledge needed for success.

How should decisions be made in ambiguous and complex situations according to the content?

  • By maintaining vague goals and objectives.
  • By relying solely on intuition and rules.
  • By following established patterns from past decisions.
  • By using scientific analyses and evidence. (correct)

What can lead to blunders in decision-making in complex scenarios?

<p>Using intuition when scientific analysis is needed. (D)</p> Signup and view all the answers

What aspect of decision-making changes in ambiguous situations?

<p>The clarity of goals. (C)</p> Signup and view all the answers

Which of the following statements about complex domains is true?

<p>They require tracking of interrelated factors. (C)</p> Signup and view all the answers

How do individuals typically navigate complex and unpredictable situations?

<p>By using intuition supported by narratives. (C)</p> Signup and view all the answers

What is a significant risk when using intuition in decision-making?

<p>It can overlook important scientific evidence. (D)</p> Signup and view all the answers

What do decision support systems often overlook when simplified?

<p>Context of the situation (C)</p> Signup and view all the answers

What is an identified outcome of excessive information gathering according to the text?

<p>Creation of more doubts about information (A)</p> Signup and view all the answers

What distinguishes a puzzle from a mystery in the context of uncertainty?

<p>Puzzles can be solved by critical data; mysteries cannot. (A)</p> Signup and view all the answers

What can cause uncertainty besides a lack of necessary information?

<p>Conflicting information (C)</p> Signup and view all the answers

How should effective decision support systems be designed according to the passage?

<p>By integrating both human intuition and analytical reflection (A)</p> Signup and view all the answers

Which of the following statements about feedback is most accurate?

<p>Feedback relies heavily on the process of sensemaking. (B)</p> Signup and view all the answers

What assumption is made about the human mind in the context of decision-making?

<p>Humans are prone to simplifying complexities. (A)</p> Signup and view all the answers

What is a potential downside of designing decision-support systems based on ideology?

<p>It can neglect observational data and real-world applicability. (D)</p> Signup and view all the answers

What have Meehl and his followers demonstrated about expert intuitions?

<p>Statistical formulas can be more accurate than experts' estimates. (B)</p> Signup and view all the answers

What is a limitation of relying solely on statistics for decision-making?

<p>They can lead to overthinking and worse decisions. (D)</p> Signup and view all the answers

What does the content suggest about conscious thought in decision-making?

<p>Conscious deliberation limits attention to key features. (C)</p> Signup and view all the answers

How does unconscious thought contribute to decision-making according to the content?

<p>It allows for the integration of more information. (B)</p> Signup and view all the answers

What is a risk associated with emphasizing logic over intuition?

<p>It can lead to important factors being overlooked. (D)</p> Signup and view all the answers

What can happen when one tries to assess facts without context?

<p>It typically results in overthinking. (C)</p> Signup and view all the answers

Why might sophisticated analyses still fail according to the content?

<p>They rely too heavily on previous events. (B)</p> Signup and view all the answers

What does the phrase 'driving while looking only through the rear view mirror' imply in decision-making?

<p>Relying only on past data can be misleading. (D)</p> Signup and view all the answers

What is the primary focus of management by discovery (MBD)?

<p>Revising and replacing goals based on new learning (C)</p> Signup and view all the answers

Why does claim 8 matter in management contexts?

<p>It prevents adaptation to complex and unpredictable circumstances (A)</p> Signup and view all the answers

How do many leaders typically respond to adversity according to the content?

<p>By increasing controls to manage complexities (B)</p> Signup and view all the answers

What is a significant risk of pursuing objectives-based management in complex scenarios?

<p>It might lead to goal fixation (B)</p> Signup and view all the answers

Which of the following is NOT a basic step in effective risk management?

<p>Ignoring complex risks altogether (D)</p> Signup and view all the answers

What does the term 'wicked problems' refer to in the context of management?

<p>Complex issues that lack clear resolutions (B)</p> Signup and view all the answers

How does management by discovery differ from objectives-based approaches?

<p>MBD promotes learning and flexibility in goal formation (C)</p> Signup and view all the answers

What assumption do many management tools and training programs make?

<p>Goals are clear and stable (C)</p> Signup and view all the answers

How are solutions to wicked problems evaluated?

<p>They are judged as good or bad. (B)</p> Signup and view all the answers

What is meant by 'emergent goals'?

<p>Goals that become clearer as we learn more. (B)</p> Signup and view all the answers

What is the primary challenge in advocating for a balance between automatic and reflective thinking?

<p>Valuing employees' tacit knowledge. (A)</p> Signup and view all the answers

Under which condition is decision making primarily the responsibility of the decision maker alone?

<p>When decisions can leverage tacit knowledge. (A)</p> Signup and view all the answers

What outcome can occur if the balance between human and algorithmic decision making shifts too far?

<p>Worsening of expertise among decision makers. (D)</p> Signup and view all the answers

Which of the following describes the scenario where the decision-support system has the final say?

<p>Humans provide inputs, but the system decides. (B)</p> Signup and view all the answers

What is a significant risk when using decision-support systems in complex conditions?

<p>Inability to adapt to changing environments. (C)</p> Signup and view all the answers

Flashcards

Well-ordered Domains

Situations with clear structures, predictable outcomes, and known causes and effects.

Complex Domains

Situations with unclear structures, unpredictable outcomes, shifting factors, and unknown causes and effects.

Cognitive Functions

Cognitive functions used in making decisions, understanding information, and adapting to change.

Intuition

The ability to swiftly grasp insights and make decisions based on experience and patterns, often without conscious reasoning. Useful in complex situations.

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Scientific Analysis

Systematic, logical, and data-driven thinking that relies on evidence and analysis to reach conclusions. Suitable for well-ordered domains.

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Ten Claims About Thinking Effectively

Ten common assumptions or beliefs about thinking effectively, often applied in well-ordered domains but potentially misleading in complex situations.

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Blind Spot in Intuition

Using intuition when scientific analysis would be more effective. May lead to mistakes in complex situations.

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Regularities in Complex Situations

Despite the complexity, patterns and regularities can emerge in seemingly chaotic situations, allowing for progress and understanding.

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Experts vs. Statistics

Statistical formulas can be more accurate than expert estimates, but they are not always perfect. Experts still provide valuable insights.

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Overthinking's Pitfall

Overthinking can lead to bad decisions, even with sophisticated analysis. It's like only focusing on the past while driving.

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Unconscious Thought in Decision Making

Unconscious thought allows for better integration of information when making complex choices.

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Conscious Deliberation's Limitation

Conscious deliberation can make us focus on easily verbalized features, neglecting important context.

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Cognitive Bandwidth Limitation

The failure of systematic analysis, or 'overthinking', can be caused by limited cognitive capacity.

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Overemphasis in Conscious Deliberation

Conscious thought can lead to overemphasizing certain features, neglecting the bigger context, resulting in faulty decisions.

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Logic, Statistics, and Intuition

Logic and statistics are valuable, but they are not enough for good decisions. Intuition plays a crucial role.

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Complex Choices and Unconscious Thought

Making complex choices is often better done with unconscious thought than through conscious deliberation.

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Balanced Decision Making

Decision-making approaches that involve both conscious, analytical thinking and unconscious, intuitive judgments. Combines the strengths of both methods.

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Decision Support System

A system that supports decision-making by providing information, tools, and insights. It can either aid human judgment or make decisions autonomously.

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Intuitive Thinking

The ability to make decisions based on experience, pattern recognition, and gut feeling, often without conscious reasoning. Excellent in complex situations with limited information.

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Reflective Thinking

A deliberate, step-by-step process of analyzing information, applying logic, and reaching conclusions. Effective for structured problems with clear data and rules.

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Tacit Knowledge

The knowledge and skills gained through practical experience, often difficult to articulate or formalize. It underlies intuition and thrives in unpredictable environments.

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Adaptive Decision Making

The ability to understand and respond to complex situations by integrating intuition and analysis, embracing uncertainty and adapting to change.

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Information-Based Uncertainty

Uncertainty that arises from lacking the necessary information to understand a situation.

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Trust-Based Uncertainty

Uncertainty that stems from questioning the reliability or trustworthiness of available information.

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Conflicting Information Uncertainty

Uncertainty that arises from conflicting information, where different sources offer contradicting perspectives.

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Meaning-Based Uncertainty

Uncertainty that emerges when you can't make sense of the available information, even if you have enough of it.

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Puzzle

A situation that can be solved by adding a missing piece of information, like finding the key to unlock a puzzle.

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Mystery

A situation that requires deeper analysis and understanding, rather than just more data.

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Sensemaking

The process of making sense of a complex or uncertain situation, going beyond simply connecting data points.

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More Information = Less Uncertainty

The belief that uncertainty is always reduced by gathering more information, which isn't always the case.

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Wicked Problems

Problems with unclear goals, making it impossible to objectively measure success. Solutions are judged based on their effectiveness rather than absolute truth or falsehood.

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Emergent Goals

Goals that emerge and evolve as we learn more about a complex problem. We cannot define or measure them at the outset.

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Goal Fixation

The tendency to get fixated on the original goal, even when circumstances change or new information emerges. It hinders adaptation and learning.

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The Downside of Clearly Defined Goals

When focusing on clearly defined goals, we might miss opportunities for innovation and adaptation that emerge during the process of solving wicked problems.

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Redefining Goals

The ability to re-define goals as we learn more and encounter unexpected challenges while trying to solve a complex problem.

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Wicked Problems: Reality

Most problems we face are 'wicked' with poorly defined goals. We need to figure out the goals as we go along.

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Learning from Experience

Facing uncertainty and evolving goals requires a willingness to learn from experience and adjust our approach accordingly.

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Embrace the Journey

Embrace the journey of learning and adapting as you navigate complex problems.

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Management by Discovery (MBD)

A management approach that embraces ambiguity, adapts to change, and revises goals based on learning. It promotes flexibility and experimentation.

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Risk Management

Focuses on identifying, analyzing, and mitigating potential risks to achieve security and stability.

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Study Notes

Street Lights and Shadows Summary

  • This summary examines human error, particularly in ambiguous situations, using the example of the Gimli Glider incident.
  • The incident revealed several breakdowns rooted in flawed procedures and miscommunication, highlighting the limitations of relying solely on standard procedures in complex scenarios.
  • The authors use the concept of "mental gears" to illustrate that humans need both standard procedures and improvisation in response to changing conditions.
  • The human's ability to perceive is different in bright light than in shadows; both methods of perception are equally valid.
  • Successful decision making in complex situations involves the ability to rapidly adapt to changing conditions and rely on both explicit and tacit knowledge.

Complex and Unpredictable Situations

  • Well-ordered domains are structured and stable allows us to effectively predict the future.
  • Complex domains, however, are less structured and more unpredictable.
  • Recognizing these differences and the limitations of rigid procedures is crucial for success.

A Passion for Procedures

  • Procedures (including checklists) are useful tools, but organizations often overestimate their importance.
  • Over-reliance on procedures can lead to mindlessness, complacency, and a decline in expertise.
  • Procedures alone are insufficient in complex settings where context is crucial for effective decision-making.
  • Procedural guides can be out of date and inflexible, potentially leading to inefficiencies and unintended consequences.

Seeing the Invisible

  • Tacit knowledge (or implicit understanding) is crucial for navigating complex situations.
  • Tacit knowledge is the understanding of how to do something without being able to explain it.
  • Expertise is built on nuanced perceptual skills, pattern recognition, and the ability to adapt procedures to the circumstances.
  • Mental models are essential for understanding complex systems, but they have limitations and may cause oversimplification or bias.

How Biased is Our Thinking?

  • Decision biases are flaws or errors in human judgment that can significantly affect decision-making processes.
  • These biases are frequently present in both expert and ordinary decision-making.
  • The anchoring and adjustment heuristic, and the representativeness heuristic are examples of common biases.
  • Recognition of these biases is important as they can lead to inaccurate judgements or decisions.

We are Talking About Limitations, Not Irrationality

  • People use heuristics (mental shortcut) to ease the cognitive load of decision-making which may result in errors, but these errors are not irrational.
  • Reasoning strategies are generally effective in complex natural settings.
  • The systematic errors are less problematic outside the laboratory, and frequently lead to adequate functioning.

What Can We Do to Protect Ourselves from the Limitations without Sacrificing the Strengths?

  • Build expertise that rely more on experience
  • Design better methods, as well as better data formats.
  • Employ choice architects: someone that guides people towards a particular choice.

Intuition Versus Analysis

  • Statistical analysis and expert judgement can provide helpful insights, but they can't eliminate all biases in decision-making.
  • Using intuition and analysis may be essential

To Make a Decision, Generate Several Options and Compare Them

  • Decision-making often involves generating options, and contrasting and comparing them
  • A formal process for identifying options and comparing them is useful before deciding.

Experts and Errors

  • Expertise is built upon experience and the development of sophisticated mental models.
  • Expert's mental models evolve as a result of experience
  • Experience is associated with better decision making

The Risk of Risk Management

  • Attempting to predict all potential risks may be counterproductive in complex environments.
  • Risk management methods can miss important problems in complex environments, and reduce the ability of the organization to adapt.

The Cognitive Wavelength

  • Common ground is necessary to coordinate actions with others. The ability to rapidly interpret and respond requires mutual understanding of each other's context.
  • Leaders can create common ground through clear roles and ground rules in advance. Clear instructions work better than vague instructions.
  • Common Ground is not guaranteed. Different experiences will always affect our perceptions and perspectives.

Unlearning

  • Unlearning is an important aspect of complex learning.
  • It involves abandoning old or inaccurate mental models and perspectives in favour of more accurate ones as result of experience.
  • It is often difficult to unlearn beliefs or ways of doing things, even when they're flawed or obsolete

Automating Decisions

  • Decision support systems can be useful in well-ordered domains but are less effective in complex situations.
  • Algorithms and automated decisions need to be adapted for the nature of the task at hand; otherwise, they can be harmful
  • To make appropriate use of automated decision-making processes in complex or ambiguous circumstances, humans require a degree of oversight

The Limits of Feedback

  • Feedback is not always sufficient to improve performance.
  • Finding out the cause-effect relationship is particularly important in complex and ambiguous situations.
  • Learning and performance may suffer if feedback is overwhelming or hard to make sense of
  • Understand feedback and put it into context; it is usually better to address the underlying assumptions of the feedback.

Correcting the Dots

  • Sensemaking involves connecting and interpreting data within a framework of understanding.
  • In complex situations, our understanding of the data will be affected by our past experiences.

When Patience Is a Vice

  • Jumping to conclusions without sufficient evidence can be harmful and hinder future discoveries.
  • Sometimes a cautious approach of waiting for more information is necessary if you want to build confidence and trust in a decision.
  • An open mind is not necessarily always useful
  • Individuals can fixate on premature conclusions or miss opportunities to adjust their course of action.

The Risk of Risk Management

  • It is important to understand that attempts to perfectly categorize and eliminate risks in advance may be detrimental

Moving Targets

  • Goals in complex situations are often not clearly defined at the outset, and they can change over time.
  • Flexibility and adapting to changing circumstances are crucial in complex projects.

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