AI research team onboarding runbook for a new RA

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-research-ai-research-team-onboarding-runbook-creators

1. What is the primary purpose of using AI to draft an RA onboarding runbook?

   1. To replace the welcome meeting and eliminate the need for human interaction
   2. To automatically grant access to all laboratory systems
   3. To write the final research paper for the new RA
   4. To help a new research assistant become productive more quickly

2. Which of the following is listed as a required training that should be sequenced in an RA onboarding runbook?

   1. CITI, IRB, and data security training
   2. Public speaking and presentation skills
   3. Advanced calculus and statistics
   4. Machine learning certification

3. What role does a 'pairing partner' play in the onboarding runbook?

   1. They report any mistakes the new RA makes to the principal investigator
   2. They are the person the new RA works with on their first deliverable each day
   3. They are responsible for evaluating the new RA's performance
   4. They handle all administrative paperwork for the new RA

4. The onboarding runbook should include five questions for the new RA to ask during their weekly 1:1 meeting. What is the purpose of these questions?

   1. To replace the need for any actual conversation in the 1:1
   2. To evaluate whether the principal investigator is doing their job correctly
   3. To give the new RA ready-made questions that help them learn about the lab and project
   4. To test the new RA's knowledge of the research topic

5. Why is it important to include a 'lab norms to ask about' list in the onboarding materials?

   1. To prompt conversations that help the new RA learn unwritten expectations from team members
   2. So the new RA can submit the list as part of their onboarding paperwork
   3. Because AI generated the complete list of all lab norms accurately
   4. So the new RA can memorize rules and face consequences if they break them

6. What is a 'first deliverable' in the context of the onboarding runbook?

   1. A small task or piece of work the new RA completes each day to start contributing
   2. The new RA's first day of work
   3. The final research paper the RA will publish
   4. The new RA's first salary payment

7. Which of the following best describes 'institutional knowledge' in the context of RA onboarding?

   1. Knowledge that is formally documented in employee handbooks
   2. Information that AI can extract from any online source
   3. The accumulated wisdom about how a specific lab or institution operates
   4. Information that new RAs are born knowing

8. The lesson warns against substituting the onboarding document for what important activity?

   1. The welcome and relationship-building with the team
   2. Attending conferences
   3. Reading research papers
   4. Completing tax forms

9. Based on the lesson, which decision should humans make, not AI, during RA onboarding?

   1. Which conference to attend next year
   2. Which research methodology to use
   3. Which day to schedule the first team lunch
   4. Which scientific journal to submit the research to

10. What does the onboarding runbook actually provide to the new RA?

    1. A list of all future research papers they will write
    2. Complete mastery of all research skills
    3. A guarantee of employment for one year
    4. Orientation and a roadmap for the first two weeks

11. Why is a two-week timeframe specifically mentioned for the onboarding runbook?

    1. Because research grants only last two weeks
    2. Because federal law requires exactly two weeks of onboarding
    3. Because it is the industry standard for all employee onboarding
    4. To give the new RA enough time to reach a first useful contribution with AI assistance

12. What distinguishes what AI can do from what the team must do during onboarding?

    1. AI creates the roadmap, but the team provides the actual learning and relationship-building
    2. AI approves access requests while the team denies them
    3. AI handles all communication while the team stays silent
    4. AI writes the research papers while the team reads them

13. Which term from the lesson describes the operational aspects of running a research laboratory?

    1. Machine learning algorithms
    2. Publication ethics
    3. Research operations
    4. Grant writing formulas

14. A principal investigator asks an AI to decide which laboratory tools and software the new RA should have access to. Based on the lesson, what should the AI respond?

    1. It should explain that this decision requires human judgment about resources and policies
    2. It should provide a complete list of all tools and immediately grant access
    3. It should refuse to help because it does not like making decisions
    4. It should ask the RA to decide for themselves

15. What happens if an RA onboarding relies only on the runbook without team interaction?

    1. The RA will become fully productive in exactly 14 days
    2. The RA will miss learning the informal customs and relationship networks of the lab
    3. The RA will immediately understand all unwritten lab norms
    4. The RA will be promoted to senior researcher