Turn Notion databases into metric trees that connect team execution to measurable results.

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.

Collaborative Editing Intensity measures the frequency and depth of multi-user editing on Notion pages. It tracks how often pages are edited by multiple contributors within short timeframes, indicating genuine real-time collaboration versus sequential individual work.

Comment Response Time measures the average elapsed time between when a comment is posted on a Notion page and when it receives its first reply. It reflects the responsiveness of team communication within the knowledge management platform.

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.

Content Lifecycle Analysis tracks Notion pages through their lifecycle stages: creation, active editing, mature reference, and eventual staleness or archival. It measures how long content remains actively maintained and identifies the patterns that lead to content decay.

Content Staleness Index quantifies the proportion of Notion content that has not been updated within an expected review period. It combines last-edit dates, page views, and content type to produce a staleness score that reflects how current the knowledge base is overall.

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.

Cross-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.

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.

Database 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.

Database Record Growth Rate measures the net change in record count across Notion databases per time period. It accounts for both record creation and deletion to provide a true growth picture, helping teams anticipate database scaling needs.

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.

File Attachment Rate measures the frequency at which files, images, and other media are attached to Notion pages and database records. It indicates whether teams are capturing supporting materials alongside their written documentation.

Page Abandonment Rate measures the percentage of Notion pages that are created but receive minimal subsequent editing or engagement. Abandoned pages typically have a single initial edit session followed by no further activity, indicating content that was started but never completed.

Page Creation Rate measures the volume of new pages created in Notion over time. It tracks creation patterns by workspace area, team, and page type to reveal how actively teams are documenting their work, decisions, and knowledge.

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.

Relation Usage Frequency measures how often relation properties in Notion databases are populated with values. It indicates whether the relational data model is being actively utilised or whether relation fields exist but are largely empty.

Rollup Complexity Score evaluates the depth and interconnection of rollup properties across Notion databases. It measures the number of chained rollups, their dependency depth, and the breadth of cross-database calculations to assess whether the data architecture is maintainable.

Team 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.

Template Effectiveness Score evaluates how well Notion templates serve their intended purpose by measuring adoption rates, the quality of content produced from templates versus blank pages, and the completion rate of template sections. High scores indicate templates that genuinely improve content quality.

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.

User 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.

User 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.

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.

Workspace 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.