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Ai Agents Testing Process - Coggle Diagram
Ai Agents Testing Process
Functional Testing
Ensure the bot gives the right response for each type of user input.
Intent recognition
Entity extraction
Response accuracy
Fallback handling
Conversation Flow Testing
Checks the logic and context of multi-turn dialogues.
Context tracking
Logical order of responses
Fallback and recovery behavior
Natural transitions
Integration Testing
Ensure all parts (chatbot, backend, APIs, databases, platforms) work together seamlessly.
API calls & responses
Database storage/retrieval
External service connections (CRM, payment, etc.)
Platform compatibility (Slack, WhatsApp, etc.)
User Story & Scenario Testing
Ensure users can achieve their goals successfully and the chatbot meets business requirements.
End-to-end conversation flows
Correct intent & data handling
Smooth and helpful experience
Success against acceptance criteria
Performance & UX Testing
UX testing evaluates how usable, natural, and satisfying the chatbot is from the end user’s perspective.
Usability, Tone & Personality, Clarity, Response Time, Visual Design (UI), Error Handling, Emotional Engagement