Granola Metric
Meeting Intelligence
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.
GranolaMeeting IntelligenceMeeting Duration Analysis
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.
Why meeting duration analysis matters for Granola users
Meetings expand to fill the time allotted - a phenomenon known as Parkinson's Law applied to calendars. A 60-minute meeting that could accomplish its goals in 30 minutes wastes 30 minutes of every participant's time, multiplied by every attendee.
For Granola users, duration analysis reveals which meetings are right-sized and which need restructuring. Consistently short meetings can be rescheduled into smaller blocks, freeing calendar space. Consistently long meetings may need tighter agendas or smaller invite lists.
Understand and act on meeting duration analysis with KPI Tree
Compare Granola meeting recordings with scheduled calendar durations in your warehouse. Model duration metrics in KPI Tree and link them to meeting cadence optimisation and meeting cost per outcome.
Assign RACI ownership to meeting facilitators and set default meeting durations based on historical data rather than arbitrary calendar increments.
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
Meeting Cadence Optimisation
Meeting IntelligenceMetric Definition
Meeting Cadence Optimisation evaluates whether the frequency of recurring meetings matches actual communication needs. It analyses patterns such as short meetings that could be async, cancelled occurrences that suggest over-scheduling, and meeting clusters that fragment focus time.
Meeting Cost per Outcome
Meeting IntelligenceMetric Definition
Cost per Outcome = (Sum of Participant Hourly Rates × Meeting Duration) / Number of Outcomes
Meeting Cost per Outcome calculates the economic cost of each tangible meeting output - decisions made, action items assigned, or problems resolved - by dividing the total cost of participant time by the number of outcomes produced. It transforms abstract meeting complaints into concrete financial data.
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.
Conversation Topic Analysis
Meeting IntelligenceMetric 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.
All Granola metrics
Action Item Completion RateAction Item Distribution BalanceAction Item VelocityConversation Topic AnalysisCross-Team Collaboration RateDecision Velocity TrackingKnowledge Transfer EffectivenessMeeting Attendance RateMeeting Cadence OptimisationMeeting Conflict Resolution RateMeeting Cost per OutcomeMeeting Follow-Up RateMeeting Frequency RateMeeting Outcome EffectivenessMeeting Preparation ScoreMeeting ROI AnalysisMeeting Sentiment AnalysisMeeting Tag Frequency AnalysisNote Quality ScoreParticipant Engagement ScoreParticipant Network AnalysisParticipant Speaking Time DistributionRecurring Meeting Efficiency TrendsTranscript Keyword TrendingEmpower 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.
