KPI Tree

Granola Metric

Meeting Intelligence

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.

GranolaMeeting Intelligence

Conversation Topic Analysis

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.

Why conversation topic analysis matters for Granola users

Most organisations have no visibility into what is actually discussed in meetings. Without topic analysis, there is no way to know whether the 20 hours per week spent in meetings are advancing strategic goals or being consumed by the same operational firefighting.

For Granola users, topic analysis across meetings reveals macro patterns - if product strategy gets 5 minutes per week while status updates get 5 hours, leadership can restructure meeting formats to better allocate time to high-impact discussions.

Understand and act on conversation topic analysis with KPI Tree

Extract topic data from Granola meeting transcripts in your warehouse and model topic distribution in KPI Tree. Link it to meeting duration analysis and meeting outcome effectiveness in your meeting intelligence tree.

Assign RACI ownership to meeting facilitators and review topic distribution monthly to ensure alignment with strategic priorities.

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Data Warehouse
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Professional Services
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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

Meeting Duration Analysis

Meeting Intelligence

Metric Definition

Meeting Duration Analysis compares actual meeting duration (as recorded by Granola) to scheduled duration, and tracks duration trends across meeting types. It identifies meetings that consistently overrun, those that end early (potentially unnecessarily scheduled), and opportunities to right-size meeting blocks.

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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.

View metric

Transcript Keyword Trending

Meeting Intelligence

Metric Definition

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.

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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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