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GlossaryAI in TestingConversational AI Testing
AI in Testing Modern Term

Conversational AI Testing

Conversational AI testing evaluates multi-turn dialogue systems broadly — voice assistants, chatbots, AI copilots — covering not just individual response quality but the coherence, appropriateness, and reliability of an entire conversation across many exchanges.

It's a broader category than chatbot testing specifically, encompassing voice assistants and multimodal conversational systems too, but the core testing challenge is shared: evaluating quality across a full conversational arc, not a single isolated turn, since a response can be individually reasonable while making no sense in the context of what came before it.

Testing typically uses scripted conversation flows (does the system correctly guide a user through a defined multi-step task) alongside open-ended, unscripted conversation testing (does it handle genuinely unpredictable user input gracefully) — both are necessary, since real usage includes plenty of interactions no script anticipated.

Conversational AI Testing — Definition, Example & How It's Used | QA Bash Glossary | QA Bash