Metrics question

Sierra aims to deliver a better, more human customer experience with AI. For a newly launched enterprise agent, what north-star metric, supporting metrics, and guardrails would you track? How would you balance automation/containment against customer trust, quality, and escalation outcomes?

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What this question tests

Tests north star metric design for a support agent that must balance automation with genuine customer trust and quality outcomes.

How to approach it

  1. Choose a north star that captures both efficiency and human quality, such as resolution rate weighted by customer satisfaction, rather than containment alone.
  2. Track supporting metrics for automation: containment rate, average handle time, and cost per resolution.
  3. Track supporting metrics for trust: CSAT, complaint rate, and repeat contact rate for the same issue.
  4. Track guardrails: escalation appropriateness, meaning cases correctly routed to a human, and critical error rate.
  5. Explicitly monitor for the tradeoff where containment rises while CSAT falls, since that signals over automation of cases better handled by a human.
  6. Review these metrics together weekly, using containment and CSAT as a paired check rather than either one in isolation.

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