Granola Metric
Meeting Intelligence
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 Engagement Score
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.
Why participant engagement score matters for Granola users
A meeting with ten people but only three active participants is really a three-person meeting with seven spectators. Those spectators are paying the cost of attendance without contributing value, and the meeting is missing their perspectives.
For Granola users, engagement scores reveal facilitation patterns - whether certain people dominate discussions, whether quiet voices are encouraged to contribute, and whether meeting size needs to be reduced to enable meaningful participation from everyone.
Understand and act on participant engagement score with KPI Tree
Analyse speaking time and contribution data from Granola transcripts in your warehouse. Compute engagement scores in KPI Tree and link them to meeting attendance rate and meeting outcome effectiveness.
Assign RACI ownership to meeting facilitators and use engagement data to right-size invite lists and improve facilitation techniques for inclusivity.
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 Speaking Time Distribution
Meeting IntelligenceMetric Definition
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.
Meeting Attendance Rate
Meeting IntelligenceMetric Definition
Attendance 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.
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.
Cross-Team Collaboration Rate
Meeting IntelligenceMetric Definition
Cross-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.
All Granola metrics
Empower your team to understand and act on Granola data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.