Metrics question

A launched Sierra agent has increased containment significantly, but CSAT is flat and escalations are rising. How would you diagnose the issue? What metrics and instrumentation would you review at the conversation, intent, and handoff levels, how would you segment the problem, and what improvements would you prioritize first?

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What this question tests

Tests structured diagnosis of a specific automation paradox, rising containment but flat CSAT and rising escalations, using layered instrumentation.

How to approach it

  1. Review conversation level metrics first: are escalations happening after multiple failed automated attempts, suggesting the agent is trying too hard to contain difficult cases.
  2. Review intent level metrics: segment containment and CSAT by intent to see if certain intents are being over automated relative to their real complexity.
  3. Review handoff level metrics: when escalation does happen, check if the human agent has full context, since a poor handoff itself can suppress CSAT even after a correct escalation.
  4. Check if containment gains came from stricter definitions of what counts as contained, which could mask cases that were technically closed but left the customer unsatisfied.
  5. Segment the problem by customer type or issue complexity to see if the paradox concentrates in a specific segment rather than being uniform.
  6. Prioritize fixes based on where the data points: narrowing automation scope on over automated intents, or fixing handoff context if that is the bigger driver.

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