The chat testing feature allows admins to test bot responses but that feedback doesn't influence how the bot performs in production. Testing and training are completely disconnected. Feedback provided during chat testing, such as marking a response as incorrect or suggesting a better answer, should feed back into the bot's training to improve future responses. A testing environment that doesn't inform training is only half useful. Closing the loop between testing feedback and model improvement makes the training process more efficient and data-driven.
