NotionKnowledge ManagementDatabase Utilisation Analysis
Database Utilisation Analysis evaluates how actively Notion databases are used by examining metrics such as access frequency, property fill rates, view usage, and the ratio of records read to records created. It identifies well-utilised databases and those that may be abandoned or redundant.
Notion metric
Database Utilisation Analysis evaluates how actively Notion databases are used by examining metrics such as access frequency, property fill rates, view usage, and the ratio of records read to records created. It identifies well-utilised databases and those that may be abandoned or redundant.
Full guide: definition, formula, and benchmarksWhy Database Utilisation Analysis matters for Notion users
Unused or underutilised databases clutter the workspace and fragment information. Some databases are created for one-off purposes and never cleaned up, while others have low property fill rates that make their data incomplete and unreliable.
For Notion teams, utilisation analysis helps workspace administrators identify databases to consolidate, archive, or improve. It ensures that the database ecosystem remains lean and each database serves a clear, active purpose.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Database Utilisation Analysis with KPI Tree
KPI Tree analyses database access and fill rate data from your Notion warehouse. Place this in your workspace efficiency tree alongside growth rate and relationship mapping metrics.
Assign RACI ownership to workspace administrators for database portfolio management. Set alerts when databases show sustained low utilisation.
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.
Database Growth Rate
Knowledge ManagementDatabase Growth Rate = New Records Created / Time Period
Database Growth Rate measures the rate at which new records are added to Notion databases over time. It tracks creation velocity, identifies growth trends, and helps anticipate when databases may require restructuring or performance optimisation.
View metricCross-Database Relationship Mapping
Knowledge ManagementCross-Database Relationship Mapping analyses the network of relation properties connecting Notion databases. It maps how databases reference each other, identifies isolated databases that could benefit from relations, and evaluates the overall data architecture.
View metricDatabase Property Evolution
Knowledge ManagementDatabase Property Evolution tracks changes to Notion database schemas over time, including property additions, deletions, type changes, and naming conventions. It reveals how database structures mature and whether they are becoming more refined or more complex.
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 metricExplore Database Utilisation 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 RateFile Attachment RatePage Abandonment RatePage Creation RatePage Edit FrequencyRelation Usage FrequencyRollup Complexity ScoreTeam Productivity PatternsTemplate Effectiveness ScoreTemplate Usage RateUser Activity ScoreUser Adoption FunnelUser Engagement Cohort AnalysisWorkspace 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.
