Lyra
Lyra is your AI-powered Customer Sentiment Specialist, designed to analyze customer interactions, detect emotional cues, and uncover hidden insights from conversations, emails, surveys, and social media comments. Lyra ensures your team knows how customers feel—not just what they say.
- Core Domain: Customer Success
- Primary Function: Sentiment Analysis & Emotional Insight Extraction
- Who It’s For: Customer success teams, support managers, brand managers
Key Capabilities
- Real-Time Sentiment Analysis: Monitors customer interactions across chat, voice, email, and social channels.
- Emotion Detection: Identifies customer emotions (e.g., frustration, satisfaction, excitement).
- Risk Alerts: Flags at-risk customers for proactive intervention.
- Feedback Aggregation: Analyzes survey responses and reviews for actionable insights.
- Trend Detection: Identifies recurring sentiment trends across customer touchpoints.
‘z’ Strategic Value (Why It Matters)
Lyra bridges the emotional gap between customers and brands, turning subjective feelings into actionable data points. By identifying risks early, flagging dissatisfied customers, and spotlighting areas for improvement, Lyra helps teams boost retention, reduce churn, and build stronger relationships.
"Lyra doesn’t just listen—it understands, predicts, and empowers teams to act on customer emotions."
Customization Focus
- Sentiment Scoring Rules: Tailored to prioritize key emotional indicators relevant to your business.
- Channel Adaptation: Analyzes sentiment differently across chat, voice, and social platforms.
- Custom Reporting Dashboards: Designed to present insights aligned with your business goals.
Measurable Outcomes
- 25% Reduction in Customer Churn
- 30% Faster Response to Dissatisfied Customers
- 40% Improvement in Customer Loyalty Metrics
Agent Ecosystem Integration
Lyra works harmoniously with other customer-focused agents:
- AxeL (Customer Support Agent): Provides context during customer interactions.
- Vox (Voice AI Support Agent): Integrates voice-based sentiment cues into overall insights.
- Remy (Follow-Up Agent): Uses Lyra's insights to plan strategic follow-ups.
Workflow Example:
- AxeL resolves an issue in a support chat.
- Lyra analyzes customer sentiment during the interaction.
- Vox follows up with voice-based support if dissatisfaction persists.
- Remy nurtures customer relationships post-resolution.