You've mastered foundational GenAI concepts. Now let's unlock a game-changing skill for PMs: iterative prompting.

Most people write one prompt and accept whatever AI gives them. But product management pros treat prompting like stakeholder communication - refining and improving with each exchange.

Engagement Message

Have you ever felt frustrated when AI didn't quite understand the product requirements you wanted?

Iterative prompting is the systematic process of refining your prompts based on AI's previous responses to get better product deliverables.

Think of it like feature refinement - you start with high-level requirements and gradually iterate until you get exactly what your stakeholders need.

Engagement Message

When you get an AI-generated PRD or user story that's "close but not quite right," what do you usually do?

Here's the basic cycle: Start with your initial prompt, analyze the AI's output against your product needs, then refine your prompt based on what worked and what didn't.

Each round gets you closer to your ideal deliverable. And you edit your original prompt every time to get to the perfect state.

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Can you think of a recent AI response that was almost perfect but missed something important for your product?

Start broad to gauge the AI's understanding, then get specific. If you ask for "user stories" and get generic text, your updated prompt might specify acceptance criteria, user personas, and business value.

Don't try to cram everything into your first prompt. Let the AI show you what it understands, then guide it toward product excellence.

Engagement Message

Have you ever tried editing your original prompt instead of building the conversation thread?

When analyzing AI output, ask: Does this meet stakeholder needs? Are the requirements clear? What's missing for implementation?

Then use that analysis to refine. "Make it more technical for the dev team," "Add acceptance criteria," or "Focus on user value, not features."