Review customer meeting metrics

Track key metrics in your conversation with customers, ensuring the best possible outcomes

Updated over a week ago

Maximizing the value of your meetings is essential, and Grain's Metrics and Insights features provide a wealth of data to help you do just that. These tools offer in-depth analysis of participation and engagement, allowing for data-driven decisions and improvements. Here we'll explore the details presented to users, how to analyze them, and why they're important.


Review meeting conversational metrics

  • In any meeting view, click on the 'Metrics' tab.

  • Here you'll find quantifiable data such as:

    • Talk Time: The percentage of time each participant spoke during the meeting, with indicators if it's more than recommended.

    • Longest Monologue: The duration of the longest single stretch of talking by an individual, which is helpful to monitor engagement and conversation flow.

    • Filler Words Per Minute: An indicator of speech clarity and nervousness.

    • Talking Speed: Words per minute, to ensure clarity and comprehension.

    • Patience: The average pause time before a person speaks, indicating the conversation's dynamics.


Track metrics over time

  • Select 'Insights' from the left-hand navigation bar.

  • This section provides aggregate data on interaction trends over time across all your meetings, such as:

    • Average Talk Time: Comparative talk time across different meetings or participants.

    • Consistency of Participation: Ensures all voices are being heard.

    • Engagement Trends: Identifies who contributes most frequently and who might need encouragement to participate more.

Analyzing the Data:

  • Identify Patterns: Look for recurring trends such as consistently high or low talk time from specific participants, which can indicate engagement levels and potential dominance in discussions.

  • Balance Participation: Use talk time data to encourage a more balanced discussion in future meetings.

  • Improve Communication Skills: Analyze filler words and talking speed to coach team members on effective communication.

Why It's Important:

Understanding these metrics is crucial for fostering a collaborative and productive meeting environment. By analyzing this data, you can:

  • Enhance meeting facilitation by encouraging balanced participation.

  • Address issues related to meeting dynamics and participant engagement.

  • Train and coach team members to improve their communication and presentation skills.


Did this answer your question?