Conversation Explorer

Conversation Explorer transforms user interactions with your conversational agents into actionable insights. Key features include: * Voice-of-Customer analysis for thematic understanding * Agent Quality scoring to identify performance issues * Feedback Batch processing for targeted improvements * Embeddable live conversation viewer * Sentiment analysis across conversation themes This platform provides a comprehensive system for evaluating and enhancing the performance of conversational agents. It meticulously analyzes user conversations to extract critical Voice-of-Customer data, clustering interactions by theme and sentiment to highlight areas of user delight or frustration. This eliminates the need for manual transcript review, offering an efficient way to grasp user needs and perceptions. Beyond customer sentiment, Conversation Explorer offers detailed Agent Quality assessments, assigning a performance score to each conversation. It pinpoints whether conversation friction originates from the user, the agent's design, or system limitations, enabling precise debugging and optimization. The Feedback Batch functionality further refines this process, turning raw interactions into concrete reward signals that drive iterative improvements. Ideal for product teams, customer support managers, and developers focused on refining conversational experiences. This tool helps ensure your conversational agents are effective, user-friendly, and continuously improving based on real-world interactions, making it easier to measure, understand, and act upon conversational data.