How would you evaluate an AI feature?
You are building an AI-powered feature, such as an AI assistant or AI-enhanced search. Describe an end-to-end evaluation plan to measure results and compare metrics, determining if the AI work is successful. Your plan should cover:
- Defining success for users and the business.
- Distinguishing between offline model metrics and online product metrics.
- Outlining how to conduct experiments (e.g., A/B tests) and make data-driven decisions.
- Establishing guardrails for quality, safety, latency, and cost.
- Explaining how to handle tradeoffs and iterate based on findings.
AI interview prep
Core dilemma
Balancing the inherent uncertainty and probabilistic nature of AI model performance with the need for concrete, measurable business and user outcomes, while managing operational constraints.
3 tradeoffs and 2 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
How would you evaluate an AI feature?
You are building an AI-powered feature, such as an AI assistant or AI-enhanced search. Describe an end-to-end evaluation plan to measure results and compare metrics, determining if the AI work is successful. Your plan should cover:
- Defining success for users and the business.
- Distinguishing between offline model metrics and online product metrics.
- Outlining how to conduct experiments (e.g., A/B tests) and make data-driven decisions.
- Establishing guardrails for quality, safety, latency, and cost.
- Explaining how to handle tradeoffs and iterate based on findings.