Granola Metric
Meeting Intelligence
Participant Speaking Time Distribution measures how meeting speaking time is allocated across participants. It quantifies the Gini coefficient of speaking time, identifying meetings dominated by one or two voices versus those with balanced participation. Balanced distribution correlates with higher-quality decisions and better participant satisfaction.
Participant Speaking Time Distribution
Participant Speaking Time Distribution measures how meeting speaking time is allocated across participants. It quantifies the Gini coefficient of speaking time, identifying meetings dominated by one or two voices versus those with balanced participation. Balanced distribution correlates with higher-quality decisions and better participant satisfaction.
Why participant speaking time distribution matters for Granola users
When one person dominates 70% of speaking time, the meeting is effectively a monologue disguised as collaboration. Other participants disengage, diverse perspectives are lost, and the quality of decisions suffers from a narrow input base.
For Granola users, speaking time data provides actionable feedback for facilitators. It is not about enforcing equal time - a presenter will naturally speak more - but about ensuring that discussion-format meetings genuinely include all voices, especially those from underrepresented groups.
Understand and act on participant speaking time distribution with KPI Tree
Extract speaker attribution data from Granola transcripts in your warehouse. Model speaking time distribution in KPI Tree and link it to participant engagement score and meeting outcome effectiveness.
Assign RACI ownership to meeting facilitators and use speaking time data in facilitation coaching to improve inclusivity and discussion balance.
Get started with your Granola data
Connect your existing warehouse where Granola data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Related Granola metrics
Participant Engagement Score
Meeting IntelligenceMetric Definition
Participant Engagement Score measures how actively each meeting participant contributes, considering factors such as speaking time, questions asked, ideas contributed, and interaction with other participants. It identifies silent attendees who may not need to be present and highlights facilitation opportunities to improve inclusivity.
Participant Network Analysis
Meeting IntelligenceMetric Definition
Participant Network Analysis maps the connections between individuals based on shared meeting attendance, creating a network graph that reveals who collaborates with whom, identifies key connectors who bridge different groups, and surfaces isolated clusters with limited cross-pollination.
Meeting Outcome Effectiveness
Meeting IntelligenceMetric Definition
Outcome Effectiveness = Meetings with Tangible Outcomes / Total Meetings × 100
Meeting Outcome Effectiveness measures the proportion of meetings that produce at least one tangible outcome - a decision made, an action item assigned, a problem resolved, or a plan agreed upon. It separates productive meetings from informational sessions and status updates that could be asynchronous.
Meeting Sentiment Analysis
Meeting IntelligenceMetric Definition
Meeting Sentiment Analysis applies natural language processing to Granola meeting transcripts to classify the overall emotional tone - positive, neutral, or negative - and track sentiment shifts during the meeting. It provides an objective measure of meeting atmosphere that complements subjective feedback.
All Granola metrics
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