KPI Tree

Granola Metric

Meeting Intelligence

Transcript Keyword Trending analyses the frequency and trajectory of specific keywords and phrases across Granola meeting transcripts over time. It surfaces emerging topics, shifting priorities, and recurring concerns that might not be visible in individual meetings but become apparent in aggregate.

GranolaMeeting Intelligence

Transcript Keyword Trending

Transcript Keyword Trending analyses the frequency and trajectory of specific keywords and phrases across Granola meeting transcripts over time. It surfaces emerging topics, shifting priorities, and recurring concerns that might not be visible in individual meetings but become apparent in aggregate.

Why transcript keyword trending matters for Granola users

Strategic shifts often emerge in conversations before they appear in documents or dashboards. When a customer name, competitor, or risk factor starts appearing more frequently across meetings, it is an early signal of something that deserves organisational attention.

For Granola users, keyword trending transforms meeting transcripts from passive records into an active intelligence source. It surfaces the topics that are gaining organisational mindshare and those that are fading, providing a unique window into collective priorities.

Understand and act on transcript keyword trending with KPI Tree

Extract keyword frequency data from Granola transcripts in your data pipeline and track trends in KPI Tree. Link keyword trends to conversation topic analysis and meeting tag frequency analysis.

Assign RACI ownership to strategy or operations leads and configure alerts for significant keyword frequency changes that may warrant executive attention.

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Related Granola metrics

Conversation Topic Analysis

Meeting Intelligence

Metric Definition

Conversation Topic Analysis uses Granola's meeting transcripts to identify and categorise the topics discussed in meetings, measuring how much time is allocated to each. It reveals whether meeting time is spent on strategic priorities or consumed by recurring operational issues.

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Meeting Tag Frequency Analysis

Meeting Intelligence

Metric Definition

Meeting Tag Frequency Analysis examines how tags and labels are applied to meetings in Granola, measuring tag usage patterns, consistency, and coverage. Effective tagging enables portfolio-level meeting analysis - understanding how time is allocated across strategic themes, project types, and meeting purposes.

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Meeting Sentiment Analysis

Meeting Intelligence

Metric 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.

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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.

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