This article provides a starter suite of 16 test cases designed to evaluate customer support chatbots, focusing on common failure points. It emphasizes writing single-turn tests that isolate specific behaviors and grouping them by categories such as grounding, safety, and scope. The guide also suggests defining expected behaviors rather than exact wording and prioritizing tests for costly errors like false promises or data leaks. A sample system prompt for a fictional product, Northwind Notes, is included to illustrate how to provide factual context for the chatbot. AI
IMPACT Provides a framework for improving the reliability and safety of AI-powered customer support tools.
RANK_REASON The item provides a practical guide and template for testing AI chatbots, rather than announcing a new AI model or research.
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