NotionKnowledge ManagementUser Engagement Cohort Analysis
User Engagement Cohort Analysis groups Notion users by their join date and tracks engagement levels over time for each cohort. It reveals whether newer cohorts are engaging more or less than earlier ones and whether engagement sustains, grows, or declines after initial adoption.
Notion metric
User Engagement Cohort Analysis groups Notion users by their join date and tracks engagement levels over time for each cohort. It reveals whether newer cohorts are engaging more or less than earlier ones and whether engagement sustains, grows, or declines after initial adoption.
Full guide: definition, formula, and benchmarksWhy User Engagement Cohort Analysis matters for Notion users
Cohort analysis separates the effects of time from changes in onboarding or platform quality. A declining engagement trend across all cohorts suggests platform-level issues, while declining engagement only in newer cohorts points to onboarding problems.
For Notion teams, cohort analysis provides a nuanced view of adoption health. It reveals whether improvements to onboarding and training are producing measurably better engagement in newer user groups and whether early adopters are sustaining their usage over time.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on User Engagement Cohort Analysis with KPI Tree
KPI Tree builds cohort engagement charts from Notion activity data in your warehouse. Place this alongside the adoption funnel in your platform health tree.
Assign RACI ownership to platform leads for long-term engagement. Set alerts when cohort engagement curves show steeper-than-expected decline patterns.
Get started with your Notion data
MCPPull metrics from Notion directly through the Model Context Protocol.
Connect your existing warehouse where Notion 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 Notion metrics Ready to add to your trees.
User Activity Score
Knowledge ManagementUser Activity Score quantifies how actively individuals engage with Notion by combining signals such as page views, edits, comments, database interactions, and content creation into a normalised activity score. It reflects both the breadth and depth of platform engagement.
View metricUser Adoption Funnel
Knowledge ManagementUser Adoption Funnel tracks how users progress through defined stages of Notion adoption, from initial login through basic usage, regular engagement, and advanced feature adoption. It identifies where users drop off and which adoption stages have the highest friction.
View metricWorkspace Health Score
Knowledge ManagementWorkspace Health Score is a composite metric that combines content staleness, user adoption, database utilisation, template effectiveness, and structural quality into a single normalised score. It provides an at-a-glance assessment of overall Notion workspace wellbeing.
View metricTeam Productivity Patterns
Knowledge ManagementTeam Productivity Patterns analyses when and how teams create and edit content in Notion. It identifies peak productivity periods, workflow patterns, and the relationship between content creation activity and other business outcomes.
View metricExplore User Engagement Cohort Analysis across integrations
All Notion metrics
Block Type DistributionCollaborative Editing IntensityComment Response TimeContent Collaboration AnalysisContent Lifecycle AnalysisContent Staleness IndexContent Structure OptimisationCross-Database Relationship MappingDatabase Growth RateDatabase Property EvolutionDatabase Record Growth RateDatabase Utilisation AnalysisFile Attachment RatePage Abandonment RatePage Creation RatePage Edit FrequencyRelation Usage FrequencyRollup Complexity ScoreTeam Productivity PatternsTemplate Effectiveness ScoreTemplate Usage RateUser Activity ScoreUser Adoption FunnelWorkspace Health ScoreEmpower your team to understand and act on Notion data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
