Granola Metric
Meeting Intelligence
Cross-Team Rate = Meetings with Multi-Team Participants / Total Meetings × 100
Cross-Team Collaboration Rate measures the percentage of meetings that include participants from two or more different teams or departments. It serves as a proxy for organisational connectivity and the degree to which teams are breaking down silos through direct interaction.
GranolaMeeting IntelligenceCross-Team Collaboration Rate
Cross-Team Collaboration Rate measures the percentage of meetings that include participants from two or more different teams or departments. It serves as a proxy for organisational connectivity and the degree to which teams are breaking down silos through direct interaction.
How to calculate cross-team collaboration rate
Why cross-team collaboration rate matters for Granola users
Innovation and alignment happen at the intersection of teams, not within silos. Cross-team meetings are where product learns from sales, engineering aligns with design, and strategy meets execution.
For Granola users, tracking cross-team collaboration reveals whether the organisation is structurally connected or operating in isolated bubbles. Low rates may indicate siloed decision-making, while very high rates might suggest over-collaboration and meeting overload.
Understand and act on cross-team collaboration rate with KPI Tree
Match Granola participant data with organisational structure in your warehouse. Compute cross-team collaboration rate in KPI Tree and link it to meeting outcome effectiveness and participant network analysis.
Assign RACI ownership to department heads and review quarterly, using the data to inform decisions about cross-functional projects and meeting structures.
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
Participant Network Analysis
Meeting IntelligenceMetric Definition
Participant Network Analysis maps the connections between individuals based on shared meeting attendance, creating a network graph that reveals who collaborates with whom, identifies key connectors who bridge different groups, and surfaces isolated clusters with limited cross-pollination.
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 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.
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.
All Granola metrics
Action Item Completion RateAction Item Distribution BalanceAction Item VelocityConversation Topic AnalysisDecision Velocity TrackingKnowledge Transfer EffectivenessMeeting Attendance RateMeeting Cadence OptimisationMeeting Conflict Resolution RateMeeting Cost per OutcomeMeeting Duration AnalysisMeeting 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.
