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A free Notion dashboard template for tracking workspace activity, projects, tasks, content health, ownership, and operational follow-through.

7 dashboard blocksNumber, Line, Donut, Horizontal bar, Table
Preview

A realistic starting point.

The sample data shows the structure. Basedash generates the live version from your connected sources.

Notion workspace overview

Projects, tasks, and content health

Live data

Active pages

1,284+9%(1,178)

Weekly contributors

146+12%(130)

Overdue tasks

37-16%(44)

Activity and completions

Index
JanJul

Content mix

Total100
Projects31%
Knowledge29%
Tasks24%
Meeting notes16%

Activity by team

Product92
Engineering88
Operations74
Sales61

Workspace watchlist

Launch checklist8 overdue
Support playbook96 days
Q4 planning14 owners
The prompt

Copy, paste, customize.

Drop this into Basedash AI to generate the dashboard from your own schema and business context.

Dashboard instructions
Build a Notion workspace dashboard for an operations team.

Include active pages, weekly contributors, project status, overdue tasks, ownership gaps, recently updated content, and stale documents. Break results down by workspace, team, owner, database, and content type, and compare the current period with the previous period.

Highlight projects that are blocked, tasks that are overdue, pages without owners, and important content that has not been reviewed recently.
Metrics

What to include.

Core metrics

  • Active pages, weekly contributors, page creation, edits, and content freshness.
  • Active projects, completed tasks, overdue work, blockers, and ownership gaps.
  • Workspace, team, owner, database, and content-type activity.
  • Current-period movement against the previous period and review targets.

Layout notes

Keep workspace activity, contributors, and overdue work at the top, project and content trends in the middle, and ownership or freshness exceptions below. Normalize status and owner fields before comparing databases.

Data sources

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Basedash can generate this dashboard across databases, warehouses, and SaaS tools.

Frequently asked questions

What should a Notion dashboard include?

A Notion dashboard should combine workspace activity, active pages, contributors, project status, overdue tasks, ownership gaps, and content freshness. Break the results down by team, owner, database, workspace, and content type where those fields are consistent. Keep project execution beside knowledge health so operators can find both blocked work and important pages that no longer have a reliable owner.

How do I build a dashboard from Notion data?

Connect Notion to Basedash and use the template prompt to generate a starting dashboard from pages, databases, tasks, projects, and users. Decide which properties represent owner, status, due date, and completion before combining databases, because teams often use different labels. Validate a few known projects and page counts, then normalize the fields needed for workspace-wide reporting.

Which Notion metrics help track project execution?

Track active projects, work by status, tasks completed, overdue tasks, blocked items, cycle time, and ownership coverage. Show absolute counts with rates so a small project does not dominate the dashboard. Use due dates and status-change timestamps consistently, and separate projects without an update from projects that are explicitly paused or complete.

How can a Notion dashboard identify stale content?

Define staleness using the last meaningful review date, page type, owner, and the review cadence expected for that content. A policy page may need quarterly review while an archived meeting note does not. Show stale high-priority pages separately from the full count, flag missing owners, and exclude templates or intentionally archived content so the team focuses on documents that still inform decisions.

Can a Notion dashboard combine multiple team databases?

Yes. Notion databases from different teams can be combined when their key properties are mapped to shared definitions for status, owner, due date, and work type. Preserve the original database and team as dimensions so discrepancies remain traceable. Start with a small field-mapping table, validate representative records from each source, and avoid treating unlike statuses as equivalent without an explicit rule.

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