Quality, Cost & Token Economics

Success metrics for AI products Interview Questions

25 questions. All 25 carry a written answer.

  1. #1What is the difference between a model metric and a product metric? Give an example of each.ConceptFoundational
  2. #2Define the north star metric for an AI writing assistant and defend it.CaseIntermediate
  3. #3Why is usage a weak success metric for an AI feature?ConceptIntermediate
  4. #4Describe three metrics that would tell you an AI feature is trusted rather than merely used.ConceptAdvanced
  5. #5How do you measure whether an AI feature saved users time?CaseIntermediate
  6. #6What metric captures the value of an AI feature that prevents work rather than performs it?ConceptAdvanced
  7. #7Explain the problem with measuring acceptance rate of AI suggestions.ConceptAdvanced
  8. #8Design the metric tree for an AI-powered support deflection feature.Artifact critiqueAdvanced
  9. #9How would you detect that users are working around your AI feature rather than with it?CaseAdvanced
  10. #10What is a good counter-metric for an AI feature optimizing for engagement?ConceptAdvanced
  11. #11Describe metrics for an internal AI tool where there is no revenue signal.CaseIntermediate
  12. #12How do you measure quality when users rarely give explicit feedback?CaseAdvanced
  13. #13What does a healthy retry rate look like and what does an unhealthy one indicate?ConceptIntermediate
  14. #14Explain how edit distance between AI output and final user output can serve as a metric.ConceptAdvanced
  15. #15Define the success metric for an AI agent that takes actions autonomously.CaseAdvanced
  16. #16How do you separate the effect of the AI feature from general product growth?CalculationAdvanced
  17. #17Describe a metric that would have caught a quality regression before users complained.CaseAdvanced
  18. #18What metrics matter for an AI feature in its first two weeks versus its first two quarters?ConceptIntermediate
  19. #19How would you measure whether an AI feature improved decision quality, not just speed?CaseAdvanced
  20. #20Critique this metric: number of AI queries per user per week.Artifact critiqueIntermediate
  21. #21What is the role of a qualitative metric in an AI product dashboard?ConceptIntermediate
  22. #22Explain how you would set a target for a metric with no historical baseline.CalculationAdvanced
  23. #23Describe the metrics you would show a board versus the ones you would show your team.CaseIntermediate
  24. #24How does metric selection change when the AI feature is free but expensive to run?ConceptAdvanced
  25. #25Define success metrics for a product I name, live.InterviewAdvanced