A message log stores the messages and conversation interactions exchanged during user sessions. In a chatbot, it records each session’s path through the conversation graph, creating evidence for analysis and improvement. section 12.3.3
Use a message log to:
- Analyze what users say and identify conversations that reach a dead end instead of the goal node. section 12.3.3
- Collect messages for intent labeling and periodically retrain the intent-recognition system. section 12.3.3
- Guide new intents, dialog branches, and conversation-design decisions using interaction patterns and message statistics. section 12.6
Structured session context
Store a JSON context field with each message so reviewers can reconstruct the situation. A teacher bot might record a student’s grade level, completed lessons, and scores alongside the conversation. section 12.3.3
Figure 12.6 Conversation design workflow
Follow the workflow from conversation design and utterance labeling through model training, backend interaction, message logging, and analysis. section 12.6
