AI & Technical question
Sierra is about to launch a Spanish-language AI support agent for a large enterprise handling thousands of conversations per day. Walk me through your launch-readiness framework: what offline evals, human review, and operational checks would you require before go-live, and which 5-7 metrics would you monitor in the first 30 days to catch quality, safety, and business issues early?
- Sierra
- AI & Technical
- Hard
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What this question tests
Tests the ability to design a comprehensive launch readiness framework and post launch monitoring plan for a high volume, non English agent.
How to approach it
- Require offline evals on a Spanish specific test set covering common intents, edge cases, and known regional dialect variation before go live.
- Require human review by native Spanish speaking evaluators on a sample of conversations, not just automated scoring, given the high volume and enterprise stakes.
- Require operational checks: escalation paths staffed with Spanish speaking human agents, and monitoring dashboards configured to slice by language.
- Track containment rate and CSAT specifically for Spanish, compared against the existing English benchmark, not in isolation.
- Track critical error rate, escalation appropriateness, and complaint rate as guardrails, since these catch safety and trust issues that satisfaction scores alone might miss.
- Track response latency and knowledge base coverage rate as operational health metrics, since infrastructure issues specific to a new language rollout can surface here first.
What a strong answer includes
- Requires native speaker human review specifically, not just automated Spanish evals, given the volume and enterprise stakes at play.
- Benchmarks Spanish metrics against the existing English performance rather than an absolute standard, giving a meaningful comparison point.
- Names exactly 5 to 7 metrics as the question requests, rather than an unbounded list, showing discipline in what actually gets monitored daily.
Common mistakes
- Relying only on automated evals without native speaker human review before a high volume, high stakes go live.
- Tracking Spanish metrics in isolation without a comparison benchmark, making it hard to know if performance is actually acceptable.
Likely follow-up questions
- How would you staff Spanish speaking escalation coverage if the agent scales faster than expected?
- What would trigger a rollback in the first 30 days after launch?
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More questions from Sierra
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 1: Foundations: the model and the decisions it forces on you
- Chapter 8: Evals: define good and make the number defensible
- Chapter 6: Agents and agentic architecture