AI & Technical question
An enterprise customer says the agent resolves routine cases quickly, but in high-stakes conversations it sometimes gives incorrect or off-brand answers. How would you investigate root cause, choose immediate mitigations, and decide whether the fix belongs in configuration, prompts/policies, workflow design, retrieval/data, or a new platform feature?
- Sierra
- AI & Technical
- Hard
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What this question tests
Tests root cause investigation for a high stakes conversational failure and the judgment to route the fix to the right layer of the system.
How to approach it
- Pull the specific failing high stakes conversations and review them with a human evaluator to categorize the failure, wrong fact, off brand tone, or wrong policy applied.
- Check if the failure correlates with conversation complexity or ambiguity, since high stakes cases often involve more nuanced multi step reasoning.
- Rule out a configuration or prompt issue first, since it is usually the fastest fix if the agent is misapplying an existing policy.
- Check retrieval and data quality for the specific topics involved in the failing conversations.
- If the issue persists after prompt and data fixes, consider it a workflow design gap, meaning these cases need a different flow or a human handoff.
- Apply an immediate mitigation, such as adding a lower confidence threshold that triggers escalation for this case type, while the root cause fix is built.
What a strong answer includes
- Moves through causes in order of speed to fix, configuration and prompts first, before concluding it needs a new platform feature.
- Proposes a specific immediate mitigation, a confidence based escalation trigger, that bounds harm while the real fix is in progress.
- Distinguishes a true model or platform gap from something that is really a workflow design gap needing a different conversational flow.
Common mistakes
- Assuming the root cause is the model itself without first ruling out cheaper prompt, policy, or retrieval explanations.
- Fixing the specific failing conversations without addressing the broader pattern behind why high stakes cases fail more often.
Likely follow-up questions
- How would you define what counts as high stakes so the escalation trigger targets the right conversations?
- What would convince you this needs a new platform feature rather than a workflow change?
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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