Sometimes generative AI is only as smart as your prompt. But, you can tap into its intelligence and feed this into your conversation to get better responses. Here's how...
Generative AI can write prompts, provide questions, suggest frameworks, methods or theories, and much more.
Here are some use cases:
💡 Give it a persona, or create one collaboratively, and ask it to come up with challenges, mental models, etc. Then, ask it to come up with ideas or evaluate your ideas based on these.
💡 Request a variety of creative thinking techniques. Then, ask it to come up with ideas using these techniques.
💡 Ask it which expert roles would be most helpful for a task. Then have it perform the task using these roles.
💡 Request problem solving strategies suitable to a problem, choose your favourite(s) and have it analyse a problem with it.
The following example is a hypothetical instructional design project for a fictional tech company (DTI) that requires leadership training. After giving the AI context of the project (not shown) I asked it to suggest models.
Then it evaluated the models based on criteria it provided — which I didn’t ask for. You could give it other criteria or ask it for an evaluation framework to apply.
Next I prompted it to explain its suggestion, as I wanted to learn more.
Finally, I asked it to help me with the first stage of its model.
