Notion Metric
Knowledge Management
Block Type Distribution analyses the proportion of different block types, such as text, headings, images, code, callouts, and embeds, used across Notion pages. It reveals how richly content is structured and whether teams are leveraging Notion's full capabilities.
NotionKnowledge ManagementBlock Type Distribution
Block Type Distribution analyses the proportion of different block types, such as text, headings, images, code, callouts, and embeds, used across Notion pages. It reveals how richly content is structured and whether teams are leveraging Notion's full capabilities.
Why block type distribution matters for Notion users
The diversity of block types used reflects content quality and documentation maturity. Pages dominated by plain text may lack the structure needed for quick scanning, while those using headings, callouts, and toggles are typically more accessible and useful.
For Notion teams, block type distribution reveals whether teams are creating structured, navigable documentation or walls of text. It helps identify opportunities for templates that encourage better content structure and more engaging documentation practices.
Understand and act on block type distribution with KPI Tree
KPI Tree analyses block type data from your Notion-connected warehouse. Place this in your content quality tree alongside page edit frequency and template usage metrics.
Assign RACI ownership to documentation leads for content standards. Set alerts when critical documentation areas show declining structural diversity.
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Related Notion metrics
Content Structure Optimisation
Knowledge ManagementMetric Definition
Content Structure Optimisation evaluates how effectively Notion pages use structural elements such as headings, sub-pages, toggles, tables of contents, and callouts to organise information. Well-structured content is easier to navigate, scan, and maintain.
Page Edit Frequency
Knowledge ManagementMetric Definition
Page Edit Frequency = Total Edits / Time Period
Page Edit Frequency tracks how often Notion pages receive edits over time. It distinguishes between living documents that are regularly updated and static content that, once created, is rarely revisited. High-frequency edits indicate actively maintained content.
Template Usage Rate
Knowledge ManagementMetric Definition
Template Usage Rate = (Pages Created from Templates / Total New Pages) × 100
Template Usage Rate measures the proportion of new Notion pages created from templates versus blank pages. It reflects how well standardised content formats are adopted across the organisation and which templates are most and least used.
Content Collaboration Analysis
Knowledge ManagementMetric Definition
Content Collaboration Analysis examines the patterns of multi-author content creation in Notion. It tracks co-editing frequency, comment discussions, cross-team contributions, and the breadth of contributor networks to assess how collaborative knowledge creation truly is.
All Notion metrics
Collaborative 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 FunnelUser Engagement Cohort AnalysisWorkspace Health ScoreEmpower your team to understand and act on Notion data
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