The Decision Audit
Exercise 4: The Decision Audit
Layers Used: Layer 6 (Iterative Drafts)
The Decision Audit uses your Confidence Calibration skills from Chapter 2, Exercise 4 to assess the accuracy of your confidence at each decision stage.
What You Do
After all information is revealed, conduct a full retrospective audit of your decision process. Where was your confidence calibrated correctly? Where was it miscalibrated? What heuristics served you well and which led you astray? Write this audit without AI — then use AI to check your self-assessment.
A Decision Audit (300-400 words, written without AI) analyzing: your calibration accuracy at each stage, the heuristics you relied on (and whether they helped or hurt), and your specific recommendations to yourself for improving your next decision under uncertainty. After completing the self-audit, include an AI assessment of your self-assessment.
I completed an entire decision-making-under-uncertainty exercise across four stages and then wrote a self-audit of my process. Please:
(1) Is my self-assessment accurate? Am I being too hard or too easy on myself? (2) Did I correctly identify my calibration strengths and weaknesses? (3) Are the heuristics I identified actually the ones I used, or am I post-hoc rationalizing? (4) Are my improvement recommendations specific and actionable, or vague? (5) Based on everything I submitted across this entire chapter, what is the single most important improvement I should make to my decision-making process? (6) Rate my meta-cognitive accuracy -- how well do I understand my own decision-making patterns? (1-10).
My complete decision trail (all stages):
My self-audit:
Finally, complete the Thinking Score Card for this exercise: Independent Thinking (1-10), Critical Evaluation (1-10), Reasoning Depth (1-10), Originality (1-10), Self-Awareness (1-10). For each score, give a one-sentence justification.
Discuss with an AI. Question your scores.
Come back when you have your BEST evaluation.
What This Teaches You
You learn that the most valuable skill in decision-making is accurate self-assessment. You cannot improve a process you do not understand. The AI check on your self-audit reveals your meta-cognitive blind spots — places where you think you are strong but are actually weak, or vice versa. The Decision Audit is a reusable meta-cognitive tool you will apply to every major project decision in Parts 2-10.
A Decision-Making Portfolio containing: (1) the sealed initial Decision Document with confidence and reversal triggers, (2) the Consultation Log with updated decision, (3) the post-information-drop revision with Process Document, (4) the Decision Audit (self-assessment + AI assessment), and (5) all AI feedback.
Grading Criteria
| Component | Weight | What Is Evaluated |
|---|---|---|
| Initial decision quality (reasoning under uncertainty) | 15% | Is the recommendation reasonable given available information? Is the reasoning sound? |
| Reversal trigger specificity | 10% | Is the trigger specific and testable, or vague? |
| Consultation Log quality (evidence of critical AI evaluation) | 20% | Did the student critically evaluate AI output, identifying fabrication and making justified trust decisions? |
| Information drop response (proportional updating) | 25% | Did the student adapt proportionally — neither anchoring nor overreacting? |
| Decision Audit depth and accuracy | 20% | Is the self-assessment accurate? Are improvement recommendations specific and actionable? |
| AI feedback integration | 10% | Did the student engage seriously with AI feedback across all exercises? |