Meta AI as a Thinking and Planning Partner
Lesson 1: Structured Decision Analysis
Lesson Objectives
By the end of this lesson, students should be able to:
- Apply the criteria-first decision method
- Use Meta AI for weighted option comparison
- Apply the decision diagnostic for intuitive choices
- Use the reversibility test to determine decision stakes
Lesson Content
The problem with unstructured decisions.
Most people make decisions by listing pros and cons, then going with their gut. This approach systematically overweights recently encountered information, underweights unlikely-but-consequential risks, and fails to surface alternatives that were never considered.
Meta AI is a powerful tool for introducing structure – not to make decisions for you, but to ensure you are deciding with complete information.
The criteria-first method.
Before evaluating options, establish criteria:
"I need to make a decision about [topic]. Before I give you the options I am considering, help me identify: what are the most important criteria I should be evaluating this decision against? What am I likely to underweight because it is not immediately obvious? What criteria do people often regret ignoring for decisions like this?"
Only after establishing criteria:
"Now I am considering these options: [list]. Evaluate each against the criteria we identified. Be direct where one option clearly outperforms on an important criterion."
The reversibility test.
Before investing in a detailed decision analysis:
"Is this decision reversible or irreversible? What is the cost of reversing it if I make the wrong choice? Does the reversibility change how much analysis is appropriate?"
High reversibility -> decide quickly, learn by doing. Low reversibility -> invest in analysis before deciding.
The decision diagnostic.
For decisions made intuitively that feel right but you cannot fully explain:
"I have already decided to [decision]. I am asking you to be a critical reviewer: what are the strongest arguments against this decision? What assumptions am I making that might be wrong? What would need to be true for this decision to turn out badly?"
This is not to second-guess – it is to catch blind spots before it is too late to address them.
Weighted comparison.
For decisions with multiple criteria of unequal importance:
"I need to compare [option A] and [option B] on these criteria: [list]. The most important criterion for me is [criterion 1], followed by [criterion 2], and then [criterion 3]. Evaluate both options weighted by that priority and give me a clear recommendation."
Enroll to continue this lesson.
The preview above shows the lesson objectives and opening lesson content. Enroll to view the full lesson, complete the practice work, and take the lesson quiz.
