KPI Tree

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.

GranolaMeeting Intelligence

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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Related Granola metrics

Participant Engagement Score

Meeting Intelligence

Metric 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.

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Meeting Attendance Rate

Meeting Intelligence

Metric 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.

View metric

Meeting Conflict Resolution Rate

Meeting Intelligence

Metric 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.

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Meeting Outcome Effectiveness

Meeting Intelligence

Metric 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.

View metric

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