Granola Metric
Meeting Intelligence
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.
Meeting Sentiment Analysis
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.
Why meeting sentiment analysis matters for Granola users
The emotional tone of meetings reflects and shapes team culture. Consistently negative meetings demoralise participants and create avoidance behaviours, while overly positive meetings may indicate a lack of honest, constructive debate.
For Granola users, sentiment analysis across meeting types and teams reveals cultural patterns. A team whose meetings are consistently negative may be struggling with leadership, workload, or interpersonal dynamics that need attention beyond just improving meeting processes.
Understand and act on meeting sentiment analysis with KPI Tree
Apply sentiment scoring to Granola meeting transcripts in your data pipeline and track trends in KPI Tree. Link sentiment to meeting attendance rate and participant engagement score in your meeting health tree.
Assign RACI ownership to team leads and use persistent negative sentiment as a trigger for facilitation coaching or team health discussions.
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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.
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 Conflict Resolution Rate
Meeting IntelligenceMetric Definition
Meeting Conflict Resolution Rate measures the percentage of discussions involving disagreement or conflicting viewpoints that reach a constructive resolution within the meeting. It distinguishes between productive debate that drives better decisions and unresolved conflict that festers and delays progress.
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.
All Granola metrics
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