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AI Product Strategy and Model Choice

Finding AI Use Cases Interview Questions

How to spot where AI genuinely helps: which workflows make good first targets, how to frame the job to be done, and why high volume, low stakes tasks usually come first. Asked of AI PMs, business analysts and consultants alike.

  • 23 questions with model answers
  • 3 foundational · 12 intermediate · 8 advanced

Foundational Finding AI Use Cases Questions

  1. What characteristics make a workflow a good candidate for AI? List five.Concept
  2. Explain why high-volume, low-stakes, tolerant-of-error tasks are the best first targets.Concept
  3. Explain the difference between automating a task and augmenting a person doing it.Concept

Intermediate Finding AI Use Cases Questions

  1. Describe a method for finding AI opportunities inside an existing product without starting from the technology.Case
  2. How do you distinguish a problem AI solves from a problem AI merely touches?Concept
  3. Rank these by AI suitability and justify: expense approval, contract review, invoice matching, hiring decisions.Case
  4. Your support team handles 8,000 tickets a month. Structure a discovery process to find the AI opportunity.Case
  5. What signals in user research suggest an AI solution rather than a better interface?Concept
  6. Which is the better first AI feature: one that saves users time or one that unlocks a new capability? Defend it.Interview
  7. Describe the jobs-to-be-done framing for an AI writing assistant.Case
  8. What is the risk of picking your first AI feature based on what is easiest to build?Concept
  9. Explain how the cost of being wrong should shape which opportunities you pursue first.Concept
  10. Describe how you would use support tickets, search logs and abandoned sessions as an opportunity source.Case
  11. What makes an internal AI opportunity more attractive than a customer-facing one for a first project?Concept
  12. What role should competitor pressure play in AI opportunity selection?Concept

Advanced Finding AI Use Cases Questions

  1. Describe how you would size an AI opportunity before knowing whether it is technically feasible.Case
  2. How do you find opportunities where AI changes the unit economics rather than just the experience?Concept
  3. Your company has no AI features. Propose a sequence of three, and explain the order.Case
  4. How would you evaluate an AI opportunity in a market where every competitor already has the feature?Case
  5. Build a scoring rubric for ranking ten candidate AI features.Artifact critique
  6. How do you avoid the trap of building an AI feature that demos well and gets no repeat usage?Concept
  7. Identify an AI opportunity in a business you know nothing about, using only first principles.Interview
  8. Pitch me an AI feature for a product I use daily, and tell me why it has not been built yet.Interview

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