AI and roadmap tradeoff framing: making the cost of every yes visible

End-of-lesson check

10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-business-AI-and-roadmap-tradeoff-framing-adults

1. What is the main idea of "AI and roadmap tradeoff framing: making the cost of every yes visible"?

   1. Use AI to draft tradeoff statements that make the implicit no behind every roadmap yes explicit and reviewable.
   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 roadmap tradeoff framing: making the cost of every yes visible"?

   1. opportunity cost
   2. roadmap prioritization
   3. tradeoff framing
   4. stakeholder alignment

3. Which use of AI fits this topic best?

   1. Decide whose initiative gets cut.
   2. Let the AI decide what matters without your review
   3. For each proposed initiative, generate the displaced work and its consequences.
   4. Use the answer before checking whether it fits the situation

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

   1. For each proposed initiative, generate the displaced work and its consequences.
   2. Explain the topic in plain language
   3. Organize a draft for human review
   4. Decide whose initiative gets cut.

5. What should a careful learner remember about "Tradeoff surface prompt"?

   1. Use AI to draft or organize ideas about roadmap prioritization, 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 roadmap prioritization 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 roadmap prioritization.

9. Which action would help you apply "AI and roadmap tradeoff framing: making the cost of every yes visible" responsibly?

   1. Estimate engineering effort better than the team itself.
   2. Use the tool to avoid thinking through the tradeoff
   3. Keep going even if the output conflicts with a trusted source
   4. Surface dependencies that quietly extend the timeline.

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

    1. Estimate engineering effort better than the team itself.
    2. For each proposed initiative, generate the displaced work and its consequences.
    3. Ask for a plain-language explanation of opportunity cost
    4. Compare the answer with a trusted source