Step Two: The AI Prompt Framework - AI Decision Making Daily

Ultimize. A marketing manager named Jason is trying to decide whether to spend $8,000 on a new analytics tool. He opens ChatGPT and types, should I buy this analytics software? The answer comes back exactly the way you'd expect. It depends on your needs, budget, and goals. Okay, interesting, but almost useless. That's not because the tool's bad. It's because the question is bad. Jason asked a vague question, so he got a vague answer. This is where most people fail with AI. They treat it like a magic answer machine. They throw in one lazy question and hope for clarity. That's not how it works. If you want useful thinking, you have to force structure. Let's take Jason's situation and run it the right way. Instead of asking, should I buy this? He inputs something specific. I'm a marketing manager at a mid-sized company. I'm considering an $8,000 analytics tool that claims to improve campaign tracking and ROI visibility. My team currently uses basic reporting tools. Give me the 3 best reasons to buy this, the 3 biggest risks or downsides, the likely second-order consequences of buying it versus not buying it. Now look at what happens. Instead of a generic answer, he gets a structured breakdown. Reasons to buy: better visibility into performance, potential revenue gains from optimization, competitive advantage. Now for the risks: tool may not integrate well, team may not fully adopt it. ROI may not justify the cost. Second-guess consequences. Buying could improve long-term strategy but increase short-term complexity. Not buying could keep things simple but limit growth and insight. Now Jason's no longer guessing. He's looking at a decision from multiple angles in seconds. This is empowering him to make the final decision. He's not outsourcing it all to Claude or ChatGPT or any other AI, but he's using it to structure his thinking. Let's take another example. A manager named Priya is deciding whether to push back on her boss about an unrealistic deadline. If she asks, should I push back, she'll get a weak answer from any AI. Instead, she structures it. She writes into an AI prompt, I'm a team manager with a boss who's given an aggressive deadline that my team is unlikely to meet without burnout. Give me 3 ways to push back effectively. The risk of pushing back. The risk of staying silent. Now she sees something clearly. Staying silent has a cost. Burnout. Missed expectations. Team frustration. That clarity changes her behavior. This is the power of the framework. Again, she's not asking for what's the final decision. She's asking for ways of structuring her thinking so she can factor in everything she knows and come to a decision that is wiser. Remember, you're not asking for the answers. You're forcing a structured analysis. That's where the AI can be very helpful. Every strong prompt has 3 parts: clear context, specific, highly specific questions, multiple angles, options, risk, consequences. When you do this, you stop getting generic responses, you start getting useful thinking, and the more you practice this, the faster it becomes. Eventually, you won't even need to type the prompt, you'll You'll think that way automatically. In the next step, we're going to take these structured outputs and pressure test them so you don't fall into obvious traps.