Level 1

Logical Thinking Foundations

Build the core mental models of decision making - logic, assumptions, and cognitive biases.

Outcome

You learn to separate instinct, habit, and analysis before trusting a conclusion.

Coverage

4 topics | 8 questions

Level Structure

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Topic 1

Decision Sources

2 questions

Topic 2

Logic Types

2 questions

Topic 3

Statements & Assumptions

2 questions

Topic 4

Cognitive Biases

2 questions

Topic Library

Learn the concept, then solve the questions

Open any topic to study and practice

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2 Questions

Decision Sources

Concept

Decision Sources

Emotional decisions are fast and human, but they can become impulsive when the feeling is stronger than the evidence.
Habitual decisions save time by using routine, but they often hide stale assumptions and missed alternatives.
Logical decisions are slower because they gather evidence, compare options, and test reasoning before acting.

Pause & Think

Before answering, ask which decision source is driving the choice and what its likely blind spot is.

Question 1

Before answering, ask which decision source is driving the choice and what its likely blind spot is.

A manager gathers evidence, compares alternatives, and follows a structured thought process before choosing a vendor. Which decision source best fits this concept?

Question 2

Before answering, ask which decision source is driving the choice and what its likely blind spot is.

Which situation is most clearly a habitual decision rather than a logical one?

2 Questions

Logic Types

Concept

Logic Types

Deductive logic moves from a general rule to a necessary conclusion if the premises are true.
Inductive logic builds a pattern from observations, so its conclusions are useful but never fully certain.
Abductive and analogical logic help when the answer is incomplete, but they fail when alternatives or key differences are ignored.

Pause & Think

Pause before solving and identify whether the reasoning moves from rule, pattern, explanation, or analogy.

Question 1

Pause before solving and identify whether the reasoning moves from rule, pattern, explanation, or analogy.

'The grass is wet this morning, so the best explanation is that it rained overnight.' Which logic type is this in this topic?

Question 2

Pause before solving and identify whether the reasoning moves from rule, pattern, explanation, or analogy.

Which failure mode belongs specifically to inductive logic in this topic?

2 Questions

Statements & Assumptions

Concept

Statements & Assumptions

Strong reasoning starts by separating facts from opinions instead of treating both as equal evidence.
A necessary condition must be present, while a sufficient condition can complete the conclusion by itself.
Hidden assumptions are often the real source of weak answers, so they must be surfaced before the conclusion is trusted.

Pause & Think

Before choosing, separate the stated fact from the hidden assumption behind the conclusion.

Question 1

Before choosing, separate the stated fact from the hidden assumption behind the conclusion.

A team says, 'Sales fell after the redesign, so the redesign caused the decline.' What is the hidden assumption?

Question 2

Before choosing, separate the stated fact from the hidden assumption behind the conclusion.

Which statement best reflects this concept's focus on necessary versus sufficient conditions?

2 Questions

Cognitive Biases

Concept

Cognitive Biases

Biases are mental shortcuts that feel efficient but distort judgment in predictable ways.
Anchoring, availability, and confirmation bias usually shape what we notice before we realize they are active.
Better thinking comes from challenging the first number, the easiest story, and the belief we already wanted to keep.

Pause & Think

Pause and ask whether the first number, the most vivid example, or past investment is pulling the decision off course.

Question 1

Pause and ask whether the first number, the most vivid example, or past investment is pulling the decision off course.

A supplier opens negotiation with an inflated quote, and that number keeps shaping the final discussion even after everyone agrees it is unrealistic. Which bias does this concept describe here?

Question 2

Pause and ask whether the first number, the most vivid example, or past investment is pulling the decision off course.

After a highly publicized cyberattack, a company over-invests in that one threat while neglecting statistically more probable risks. Which bias is this in this topic?