Overview & Key Points
Get instant AI-powered meeting summaries with overview, key points, and conclusions. Navigate long meetings effortlessly with automatic topic chapters and smart highlights.
See Who Dominates, Who's Silent, and How Your Team Really Communicates
Automatic conversation analytics reveal participation imbalances, interruption patterns, and discussion dynamics you can't spot during the meeting. Make every voice heard and every meeting more productive.
Speaking Time
Who's Talking Too Much? Who's Not Being Heard?
One person monopolizing the conversation? Key team members staying silent? You can't watch the clock during a meeting, but the analytics do it for you. See exact speaking time for each participant and spot imbalances that hurt collaboration before they become problems.
- Individual Speaking Time
- See exactly how many minutes each person spoke. Identify who dominated the conversation and who barely contributed.
- Percentage Breakdown
- Visualize participation as percentages. A healthy meeting has balanced contributions - spot when one voice drowns out the rest.
- Participation Patterns
- Compare current meeting balance to team norms. Help quieter team members contribute more, and encourage active speakers to create space for others.
Phrase Frequency
What Did Everyone Keep Talking About?
You remember the meeting was intense, but what was actually discussed? Phrase frequency analysis shows you the most-repeated words and phrases, instantly revealing the real topics and concerns that dominated the conversation. No more wondering what the meeting was really about.
- Most Used Phrases
- See which words and phrases were repeated most often. "Deadline" mentioned 15 times? "Budget concerns" came up repeatedly? The data tells the real story.
- Topic Identification
- Automatically identify what the meeting focused on based on recurring language. Discover hidden themes you missed while taking notes.
- Visual Word Analysis
- Word clouds and frequency charts make patterns obvious at a glance. Share with your team to align on what really mattered.
Turn-Taking
Is It a Conversation or a Monologue?
Great meetings are dynamic exchanges, not speeches. Turn-taking analysis reveals how many times each person spoke, not just how long. Someone with 30% speaking time spread across 50 contributions is collaborating. The same time in 3 long blocks? They're lecturing. See the difference.
- Speaking Turns Count
- Count how many separate times each person spoke. High turn count with reasonable time = engaged collaboration. Low turns with high time = monologuing.
- Conversation Flow
- See if the conversation flowed naturally between participants or if a few people dominated with long uninterrupted segments.
- Engagement Indicators
- Identify team members who actively participate in back-and-forth discussion versus those who only contribute once or twice with long statements.
Interruptions
Who Keeps Cutting People Off?
Some interruptions are collaborative energy. Others are disrespectful power plays that silence voices. Interruption analysis shows you exactly who interrupts whom, how often, and whether it's a pattern. Use the data to address behavior issues before they poison team dynamics.
- Interruption Frequency
- See total interruptions for each participant. One person interrupting 15 times while everyone else interrupts 2-3 times? That's a problem you can now prove with data.
- Who Interrupts Whom
- Identify patterns: does one person consistently interrupt junior team members? Do certain pairings have more interruptions? Spot power dynamics and respect issues.
- Impact on Participation
- Connect interruption data to speaking time: team members who get interrupted frequently often speak less. Use this insight to create more inclusive meetings.
Stop Guessing About Meeting Dynamics - See What's Really Happening
Every meeting generates data about who speaks, who interrupts, what gets discussed, and who stays silent. Stop relying on gut feeling. Use automatic conversation analytics to build healthier team dynamics and more productive meetings.
Frequently Asked Questions
Every meeting automatically generates four types of analytics: Speaking Time (who spoke how long), Phrase Frequency (most-used words and topics), Turn-Taking (conversation flow and speaking turns), and Interruption Analysis (who interrupted whom and how often). All analytics are available immediately after the meeting ends.
The system analyzes the transcript timing to identify when one speaker started talking before another finished. It tracks total interruptions per person and shows you who interrupted whom, helping identify problematic patterns in team communication.
Yes! Statistics are generated for every meeting with a transcript. You can review conversation analytics for any past meeting to compare team dynamics over time or identify recurring patterns.
Speaking time measures how long each person spoke (useful for spotting monopolizers). Turn-taking counts how many separate times each person spoke (useful for identifying engagement). Someone with high speaking time but low turns is monologuing; high turns with reasonable time indicates healthy collaboration.
Use speaking time to ensure balanced participation, phrase frequency to validate meeting focus aligned with the agenda, turn-taking to encourage dynamic discussion, and interruption data to address respect issues. Share statistics with your team to have data-backed conversations about improving collaboration.
Deepen Your Meeting Analytics
Explore more ways to understand team dynamics and meeting effectiveness
Ask AI About the Meeting
Ask anything about your meetings and get instant answers with verified citations. Natural language queries, contextual understanding, and complete transparency with clickable sources.
Define Company Values
Set your organization's core values and track how they're mentioned in meetings. AI automatically monitors when values are discussed, creating consistent cultural reinforcement across your team.