U2xAI
…
AI Opportunity & Model Strategy

Data strategy as product strategy Interview Questions

23 questions. All 23 carry a written answer.

  1. #1Explain why the data you collect today determines the products you can build in two years.ConceptFoundational
  2. #2What is a data flywheel and what are its preconditions?ConceptIntermediate
  3. #3Describe how you would instrument a product to generate training or eval data as a byproduct.CaseAdvanced
  4. #4Your company has ten years of unstructured documents. Is that an asset? Interrogate the claim.CaseIntermediate
  5. #5How do you evaluate whether proprietary data is actually a moat?ConceptAdvanced
  6. #6What are the product implications of not owning your own data?ConceptIntermediate
  7. #7Describe the difference between data volume, data quality and data relevance for AI products.ConceptIntermediate
  8. #8How would you build consent and licensing into a data collection strategy from day one?CaseAdvanced
  9. #9Explain the risk of a feedback loop where the model's outputs become its own training data.ConceptAdvanced
  10. #10What data would you need to collect before you could personalize an AI feature?CaseIntermediate
  11. #11Design a labelling strategy for a feature launching in eight weeks.CaseAdvanced
  12. #12How do you prioritize data investment against feature investment on a roadmap?CaseAdvanced
  13. #13Describe how synthetic data changes the calculus of a cold-start problem.ConceptAdvanced
  14. #14What is the product argument for paying for human annotation?ConceptIntermediate
  15. #15Explain how data strategy differs when you are prompting rather than training.ConceptIntermediate
  16. #16How do you handle a customer who wants their data excluded from all improvement loops?CaseAdvanced
  17. #17What does a data moat look like in an era of general-purpose models?ConceptAdvanced
  18. #18Describe the minimum eval dataset you need before shipping anything.ConceptIntermediate
  19. #19How do you measure whether your data flywheel is actually turning?ConceptAdvanced
  20. #20Write the section of a strategy doc that argues for a data investment with no immediate feature payoff.Artifact critiqueAdvanced
  21. #21What data would you stop collecting, and why?ConceptIntermediate
  22. #22Explain the tension between privacy commitments and model improvement.ConceptAdvanced
  23. #23Tell me what data a company I name should be collecting today and is probably not.InterviewAdvanced