U2xAI
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AI Opportunity & Model Strategy

Feasibility assessment and technical spikes Interview Questions

23 questions. All 23 carry a written answer.

  1. #1What is a technical spike and how do you scope one for an AI feature?ConceptFoundational
  2. #2Design a two-week spike to test whether an AI feature is viable.CaseIntermediate
  3. #3What question should a feasibility spike answer, and what should it explicitly not try to answer?ConceptIntermediate
  4. #4How do you prevent a spike from silently becoming the production implementation?CaseIntermediate
  5. #5Describe the smallest test that would tell you whether retrieval quality is the blocker.CaseAdvanced
  6. #6What does a good spike report contain?Artifact critiqueIntermediate
  7. #7How many examples do you need before a feasibility judgement is trustworthy?ConceptAdvanced
  8. #8Your spike produces 70 percent accuracy. How do you decide whether that is promising or fatal?CaseAdvanced
  9. #9Explain the difference between technical feasibility and product feasibility.ConceptIntermediate
  10. #10How do you run a spike when you do not yet have the data you would need in production?CaseAdvanced
  11. #11Describe how you would timebox exploration without killing genuine discovery.ConceptIntermediate
  12. #12What are the signs a spike is answering the wrong question?ConceptAdvanced
  13. #13How do you communicate an inconclusive spike result to leadership?CaseIntermediate
  14. #14Design a spike to determine whether latency requirements can be met.CaseIntermediate
  15. #15What should you spike first when both data quality and model capability are in doubt?CaseAdvanced
  16. #16Explain when a manual Wizard of Oz test beats a technical spike.ConceptIntermediate
  17. #17How do you use a spike to de-risk a cost assumption rather than a quality assumption?CaseAdvanced
  18. #18What is the right team composition for a feasibility spike?ConceptIntermediate
  19. #19Describe the decision criteria you would set before the spike begins.Artifact critiqueAdvanced
  20. #20Your spike succeeded on curated data and failed on real data. What did you learn?CaseAdvanced
  21. #21How does spiking differ for an agent feature versus a single-call feature?ConceptAdvanced
  22. #22When should you skip the spike and just build?ConceptIntermediate
  23. #23Scope a feasibility spike live for a problem I describe.InterviewAdvanced