Intuition: How it Works and What to Do when it Fails You

Intuition: How it Works and What to Do when it Fails You

Assessment

Interactive Video

Business, Information Technology (IT), Architecture

12th Grade - University

Hard

Created by

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The video explores the concept of intuition, detailing its stages: perception, understanding, and judgement. It highlights how intuition can guide decisions but also fail due to poor information selection, incorrect pattern recognition, and wrong mental models. The video emphasizes testing assumptions and predictions to improve decision-making and warns against the risks of indecision.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two main functions of intuition as described in the video?

Understanding and predicting outcomes

Making decisions and solving problems

Extracting valuable information and making sense of it

Extracting and analyzing data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which stage of intuition involves selecting a small amount of information to focus on?

Judgment

Decision-making

Understanding

Perception

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the term used by Malcolm Gladwell to describe the process of understanding complex situations quickly?

Thin slicing

Data filtering

Pattern recognition

Rapid analysis

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a common cause of incorrect pattern recognition in intuition?

Overconfidence

Random coincidences

Lack of experience

Too much data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you verify if a pattern is real according to the video?

By making assumptions

By using intuition

By increasing the data set

By consulting experts

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should you consider when applying a mental model to a situation?

The complexity of the situation

The speed of decision-making

Where the model works and where it breaks down

The number of stakeholders involved

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to test assumptions in predictions?

To check their impact on outcomes

To confirm they align with biases

To simplify the decision-making process

To ensure they are easy to understand

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