The Interview Process
The interviewer’s goal is to understand your AI agent’s function, its workflows, and potential risks as efficiently as possible. The process generally follows these steps:- Introduction: The interviewer will introduce itself and ask a broad opening question about your agent’s primary purpose.
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Analysis and Follow-up: After each of your responses, the AI analyzes the information. It then asks concise follow-up questions to probe deeper into areas that need clarification, focusing on:
- Edge Cases: Situations that are unusual or at the limits of the agent’s expected operation.
- Happy and Sad Flows: The ideal user journey versus paths where things go wrong (e.g., errors, invalid requests).
- Key Business Risks: Critical areas where failure would have significant consequences, such as handling refunds, discounts, or sensitive data.
- Concise Questioning: The interview is designed to be quick. The interviewer will ask a short series of targeted questions (typically 3-5) to gather the necessary details. It avoids repeating questions or asking for information you’ve already provided.
- Context Summarization: Once it has enough information, the interviewer synthesizes the key points into a comprehensive business context summary.
- User Review and Confirmation: The interviewer presents the summarized context to you for review. You have the opportunity to make corrections or additions. The context is updated with your feedback.
- Conclusion: Once you confirm the business context is accurate, the interview concludes, and you can proceed to generate test scenarios based on it.