coworkia-conversations

You can automate continuous improvement by detecting friction, bugs, and UX opportunities during conversations, logging them into memory for prioritized action. The system identifies issues and suggests improvements to guide future interactions.

Friction detection identifies patterns where users repeat themselves during agent and client conversations. It triggers memory improvement workflows to adjust prompts, update skills, and generate actionable improvement plans.

Tracking bugs from client conversations is done by logging unexpected behavior into a knowledge base and queuing them into a flight plan. This prioritizes and suggests actions for resolution with status tracking.

Yes, you can use conversation insights to improve agent response templates. The system proposes UX enhancements and new templates when users express improvement desires or objections during client interactions.

No, automated conversation logging does not require manual setup for each chat. After activating, the system automatically starts listening for issues, logs them, and suggests prioritized actions across interactions.

Avoid using automated conversation analysis when chats contain no actionable feedback or high-intent phrases. It relies on detecting user friction, objections, or success confirmations to generate an actionable improvement plan.