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AI Product Metrics and LLM Cost

Leading vs Lagging Indicators for AI Interview Questions

Which early signals tell you an AI feature is going wrong before the business numbers do, how to set alerts on noisy indicators, and how to tie them to automatic rollback.

  • 25 questions with model answers
  • 1 foundational · 10 intermediate · 14 advanced

Foundational Leading vs Lagging Indicators for AI Questions

  1. Give three leading indicators of AI feature health and the lagging metric each predicts.Concept

Intermediate Leading vs Lagging Indicators for AI Questions

  1. Why do lagging metrics fail you specifically in AI products?Concept
  2. Describe the leading indicators you would watch in the first 48 hours after an AI launch.Case
  3. Explain how retry rate functions as a leading indicator.Concept
  4. Design the daily dashboard for an AI feature team.Artifact critique
  5. What leading indicators would you monitor for cost rather than quality?Concept
  6. Explain how you would use a canary cohort as a leading indicator.Concept
  7. What is the minimum instrumentation needed at launch to have any leading indicators at all?Concept
  8. Critique a dashboard that shows only cumulative usage.Artifact critique
  9. What is the leading indicator you would add first to an under-instrumented AI product?Interview
  10. Tell me the three numbers you would check every morning as an AI PM.Interview

Advanced Leading vs Lagging Indicators for AI Questions

  1. What early signal predicts churn from an AI feature?Concept
  2. How do you build an early warning system for silent quality degradation?Case
  3. Describe the relationship between refusal rate and downstream satisfaction.Concept
  4. What leading indicator would catch a prompt regression before an eval run does?Case
  5. Explain why thumbs-down rate is a lagging indicator disguised as a leading one.Concept
  6. How do you set alert thresholds on a noisy leading indicator?Calculation
  7. Describe a leading indicator specific to agent products.Concept
  8. How do session length and AI feature quality relate, and in which direction?Concept
  9. What does an increase in average conversation turns tell you? Give two opposite readings.Case
  10. Which leading indicators break when your user mix changes?Concept
  11. How would you detect a distribution shift in incoming requests?Case
  12. Describe the lag between a model change and a measurable business outcome.Concept
  13. Explain how you would tie a leading indicator to an automated rollback.Case
  14. How do you avoid alert fatigue with probabilistic metrics?Concept

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