MeetraAI

Features of MeetraAI

Full Context: MeetraAI can extract transcripts, summaries, key points, and questions from any pre-recorded conversation. This ensures that the nuances of the discussions are retained.

Group Dynamics: This feature allows you to dive into the heart of team interactions. MeetraAI captures the overall sentiment, energy, interactions, and balance of the conversation.

Topic Deep Dive: At the Topic Overlay level, MeetraAI zeroes in on specific discussion points. It goes beyond general conversation dynamics to pinpoint specific topics, identify the main contributors, and assess sentiment, energy, and interaction patterns around these focal points.

Dynamic Fluctuations: The Fluctuation Layer is all about tracking the ebb and flow of conversations. By monitoring energy and sentiment fluctuations, alongside interactions and individual emotion changes over time, MeetraAI provides a dynamic representation of the conversation’s trajectory.

Automatic Speaker Recognition: MeetraAI recognizes active speakers in conversations.

Full Transcripts and Summaries: Provides full transcripts and summaries of the conversation’s audio content.

Key Points and Questions: Identifies and lists key points and questions raised during the conversation.

Topics and Related Keywords: Detects and lists topics and keywords discussed throughout the conversation.

Interaction Density: Provides strength and frequency of interactions between participants.

Conversational Energy: The energy level in a conversation based on talk time, interactions, and emotions.

Conversational Sentiment: Analyzes the overall sentiment and emotions throughout a conversation.

Speaker Balance: Balance of participation among speakers according to MIT TeamSpeak coefficient.

Energy and Interaction Fluctuations: Tracks changes in energy and interaction levels throughout the conversation.

Sentiment and Emotion Fluctuations: Monitors shifts in sentiment during the conversation including individual emotions.

Conversation Topic Detection: Lists topics discussed in the conversation in defined time intervals.

Topic Contributors: Identifies speakers who contributed to specific topics.

Topic Sentiment and Energy: Measures the sentiment and group energy associated with specific topics.

Topic Interactions: Maps speaker interactions around specific topics.

Benefits of MeetraAI

Unlock Wealth of Insights: MeetraAI helps unlock a wealth of insights from your organization's conversations.

Comprehensive Analysis: It provides a comprehensive backdrop for any conversation, ensuring that the nuances of the discussions are retained.

Deep Dive into Topics: MeetraAI allows teams to unearth pivotal moments in the conversation and their subsequent ripple effects.

Dynamic Representation: It provides a dynamic representation of the conversation’s trajectory.

Improved Communication: MeetraAI helps improve ways we communicate by providing detailed analysis of conversations.

Who MeetraAI is useful for

Teams: MeetraAI is useful for teams who want to understand the dynamics of their conversations and interactions.

Organizations: Organizations can use MeetraAI to gain insights from their internal and external conversations.

Researchers: Researchers studying group dynamics and communication can benefit from the detailed analysis provided by MeetraAI.

Project Managers: Project managers can use MeetraAI to understand the balance of participation among speakers and the overall sentiment of the conversation.

In conclusion, MeetraAI is a powerful tool for analyzing conversations and interactions. It provides a wealth of insights that can help improve communication and understand group dynamics. Whether you are a team, an organization, a researcher, or a project manager, MeetraAI has features and benefits that can enhance your understanding of conversations.