Conversation Analytics
Analyze and measure speaker interaction and conversation patterns.
Leverage Symbl.ai’s Conversation Analytics to understand customer experience, agent engagement, call satisfaction, and more.
Speaker Dynamics
Understand participant talk time, silence, and interruptions to create a comprehensive behavioral view of how conversations unfold.
Real Time Sentiment Analysis
Extract sentence level sentiment polarity to understand emotional context in mission critical conversations.
Topic Level Sentiment
In conjunction with Symbl.ai’s powerful Topic API extract aspect-based sentiment.
Speaker Pace
Calculate the words per minute for each participant.
Speaker Ratio
Extract total talk time for each speaker as a percentage of the total conversation.
Talk Time
Monitor how much time each speaker spent talking.
Silence
Monitor how much time each speaker were silent during the conversation.
Overlap
Identify how often speakers are talking over each other.
Use Cases
Customer Satisfaction
Understand speaker engagement, talk time, silence, and sentiment to analyze customer satisfaction and take action to improve outcomes of sales and customer care calls.
Agent Performance
Analyze the conversation dynamics of top performing customer care agents or sales reps and create a repeatable recipe for success.
Realtime Call Mitigation
Detect when calls are at-risk or customer satisfaction is falling and create agent-assist workflows to adapt the call-flow in real time.
Resources
Sentiment API Reference
Easily analyze the sentiment of your conversations with our Sentiment API.
Analytics Docs
More details on all the analytics you can extract from your conversations.
Real-time Sentiment
Analyze sentiment in real-time.