The Conversation Insights chart in Mindlytics provides a comprehensive view of conversational performance by combining multiple KPIs into a single, powerful dashboard. Mindlytics extracts insights from natural language interactions between your users and AI into actionable metrics. With this chart, you can analyse: 1. Intent Conversion Rate (ICR)
Measures the effectiveness of your AI agent in resolving user intents.
A high ICR indicates that your agent is successfully understanding and fulfilling user goals within a conversation, signaling strong intent recognition and response quality. 2. First Intent Friction (FIF)
Quantifies the responsiveness of your AI agent at the start of a conversation.
FIF measures the time taken to resolve the user’s first expressed intent. Lower friction suggests a smoother, faster onboarding experience and early user satisfaction. 3. New Intents
Tracks the emergence of user intents outside the expected scope.
This metric highlights the frequency and nature of unexpected or unhandled intents expressed by users, helping teams identify coverage gaps and new demand signals. 4. Sentiment
Assesses user sentiment during interactions with the AI agent.
Derived from user language and behavior, this metric reflects how positively or negatively users feel while engaging with the agent—providing insight into user satisfaction and emotional tone. 5. AI-Human Engagement Duration
Analyzes how long users actively engage with the AI agent per session.
This KPI captures the duration of conversations, offering a view into session depth and sustained user interest or complexity of task resolution. 6. Prompts per Engagement
Indicates the average number of messages exchanged between the user and AI agent per session.
This helps evaluate interaction density—whether conversations are concise and effective or prolonged and potentially inefficient.