Participant Network Analysis
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.
Granola metric
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.
Full guide: definition, formula, and benchmarksWhy Participant Network Analysis matters for Granola users
Organisational charts show reporting relationships, but meeting networks reveal actual collaboration patterns. The two often diverge significantly - some people are far more connected than their role suggests, while others are more isolated.
For Granola users, network analysis surfaces structural insights invisible in day-to-day operations. It identifies connectors whose departure would fragment the network, isolated teams that need better integration, and over-connected individuals at risk of meeting burnout.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Participant Network Analysis with KPI Tree
Build a meeting co-attendance graph from Granola participant data in your warehouse. Visualise network metrics in KPI Tree and link them to cross-team collaboration rate and meeting attendance rate.
Assign RACI ownership to organisational development leads and review network health quarterly to inform team structure and collaboration initiatives.
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 Ready to add to your trees.
Cross-Team Collaboration Rate
Meeting IntelligenceCross-Team Rate = Meetings with Multi-Team Participants / Total Meetings × 100
Cross-Team Collaboration Rate measures the percentage of meetings that include participants from two or more different teams or departments. It serves as a proxy for organisational connectivity and the degree to which teams are breaking down silos through direct interaction.
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Meeting Attendance Rate
Meeting IntelligenceAttendance Rate = Actual Attendees / Invited Participants × 100
Meeting Attendance Rate measures the percentage of invited participants who actually attend a meeting. Low attendance suggests that meetings are perceived as low-value, poorly timed, or include too broad an invite list. High attendance indicates relevance and effective scheduling.
View metric
Participant Engagement Score
Meeting IntelligenceParticipant 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.
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Participant Speaking Time Distribution
Meeting IntelligenceParticipant 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.
View metricExplore Participant Network Analysis across integrations
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