AI and go/no-go launch decision memos: structuring the case before the meeting

End-of-lesson check

10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-business-AI-and-go-no-go-launch-decision-adults

1. What is the main idea of "AI and go/no-go launch decision memos: structuring the case before the meeting"?

   1. Use AI to draft a balanced go/no-go memo that surfaces the kill criteria you'd rather ignore.
   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 "AI and go/no-go launch decision memos: structuring the case before the meeting"?

   1. launch readiness
   2. go/no-go decisions
   3. kill criteria
   4. decision memos

3. Which use of AI fits this topic best?

   1. Override an executive who has already decided.
   2. Let the AI decide what matters without your review
   3. Draft a memo with sections for upside, downside, kill criteria, and reversibility.
   4. Use the answer before checking whether it fits the situation

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

   1. Draft a memo with sections for upside, downside, kill criteria, and reversibility.
   2. Explain the topic in plain language
   3. Organize a draft for human review
   4. Override an executive who has already decided.

5. What should a careful learner remember about "Go/no-go structuring prompt"?

   1. Use AI to draft or organize ideas about go/no-go decisions, 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 go/no-go decisions 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 go/no-go decisions.

9. Which action would help you apply "AI and go/no-go launch decision memos: structuring the case before the meeting" responsibly?

   1. Know which dependencies are actually fragile in production.
   2. Use the tool to avoid thinking through the tradeoff
   3. Keep going even if the output conflicts with a trusted source
   4. Pull historical launch postmortems to populate base rates.

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

    1. Know which dependencies are actually fragile in production.
    2. Draft a memo with sections for upside, downside, kill criteria, and reversibility.
    3. Ask for a plain-language explanation of launch readiness
    4. Compare the answer with a trusted source