Want to make better decisions with AI? Before you prompt, write down your judgment, your confidence, and your key assumption. Then use AI to challenge your thinking and check your forecast against what actually happens.
In this episode of The Good Leadership Podcast, Part 2 of the Judgment Series, Charles Good walks through a practical approach to AI decision-making using a pricing decision and a training-demand example. Learn how to spot vague AI advice, investigate missed forecasts, and carry what you learn into your next business decision.
You'll Learn:
The importance of writing your judgment before consulting AI
How to challenge your assumptions with AI prompts
Scoring and tracking decision accuracy over time
Using AI to test and improve your confidence levels
Case study: pricing decision and customer cancellation forecast
The psychological impact of seeing your initial judgment versus outcomes
Rules for maintaining a useful decision record
Practical steps for integrating judgment recording into daily work
Chapters: 00:00 Why your judgment matters when using AI 02:08 A pricing decision: write your forecast first 05:11 How to spot useful AI feedback 07:20 What to learn when your forecast misses 09:40 Three rules for a useful decision record 10:29 Make “write before you prompt” a habit 11:08 A training-demand forecast that missed 12:01 Change the evidence you require 12:37 Your next decision: start with three lines 13:20 Track whether your judgment is improving
TRY THIS AI PROMPT “I’ve already made a judgment. Do not give me a recommendation. Challenge my key assumption. What would have to be true for it to fail? What evidence against my view should I look for? Give me two early signals I can check in the first thirty days. And tell me what you know versus what you’re guessing.”
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