Standing up a customer advisory board with AI support

End-of-lesson check

10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-business-AI-and-customer-advisory-board-program-adults

1. What is the main idea of "Standing up a customer advisory board with AI support"?

   1. AI helps draft charter, agenda, and recap docs; you choose members and run the conversations.
   2. Use AI as the final authority for the whole decision
   3. Avoid checking the answer once it sounds polished
   4. Focus only on speed instead of judgment

2. Which concept is most central to "Standing up a customer advisory board with AI support"?

   1. charter document
   2. customer advisory board
   3. executive sponsorship
   4. feedback synthesis

3. Which use of AI fits this topic best?

   1. Identify which customers are right for advisory roles
   2. Let the AI decide what matters without your review
   3. Draft a CAB charter with mission, member commitment, and rotation rules
   4. Use the answer before checking whether it fits the situation

4. Which limitation should you watch for in this topic?

   1. Draft a CAB charter with mission, member commitment, and rotation rules
   2. Explain the topic in plain language
   3. Organize a draft for human review
   4. Identify which customers are right for advisory roles

5. What should a careful learner remember about "CAB charter prompt"?

   1. Use AI to draft or organize ideas about customer advisory board, then verify before acting.
   2. Skip the context so the tool can guess faster
   3. Treat the output as private even after sharing it online
   4. Use the answer without checking the source

6. You want to use AI after this lesson. What is the safest next step?

   1. Act immediately because the AI answer is written clearly
   2. Use AI as a workflow assistant, with human review for decisions that carry risk.
   3. Hide uncertainty so the final answer looks cleaner
   4. Use private or sensitive details before checking permission

7. How should AI output about customer advisory board be treated?

   1. As proof that no other source is needed
   2. As a replacement for context, consent, or expert review
   3. As a draft or helper output that still needs human judgment and verification
   4. As something that becomes correct when it sounds confident

8. Name one way to verify an AI answer about customer advisory board.

9. Which action would help you apply "Standing up a customer advisory board with AI support" responsibly?

   1. Build executive trust with member companies
   2. Use the tool to avoid thinking through the tradeoff
   3. Keep going even if the output conflicts with a trusted source
   4. Generate quarterly agenda templates with discussion prompts

10. Which choice is a bad use of AI for this lesson?

    1. Build executive trust with member companies
    2. Draft a CAB charter with mission, member commitment, and rotation rules
    3. Ask for a plain-language explanation of charter document
    4. Compare the answer with a trusted source