1. Q1) What is the purpose of Chain-of-Thought prompting in AI?
2. Q2) What should be included in a well-structured prompt for an LLM (Large Language Model)?
3. Q3) What is one advantage of using role prompting in product management?
4. Q4) Why is context important when prompting an LLM for product ideas?
5. Q5) How does few-shot learning improve LLM performance?
6. Q6) What is the role of clarity in prompt engineering?
7. Q7) What is a benefit of using structured XML-style tags in prompts?
8. Q8) In the context of product discovery, what’s the best use of role prompting?
9. Q9) Why is structure valuable when asking the model to create user stories?
10. Q10) How does Chain-of-Thought prompting support growth experimentation planning?
