Superadmin Dashboards

Implementer

What they are

A set of dashboards installed automatically in every new Prodgy installation, giving the internal team (Superadmin) a consolidated cross-organization view — aggregating data from every client into a single panel.

They serve to track platform health, identify who is extracting the most value, understand where AI cost is coming from, and prioritize product improvements based on real usage.

Who sees them

Only users with the Superadmin role on the platform.
The view shows up as a platform scope in the top selector — it sits outside the scope of any specific organization or workspace.
Admins and members of client organizations do not have access (the separation is enforced in the backend, not only in the UI).

Where they live

When you enter Prodgy as a Superadmin, the Hub opens in the platform scope. The top selector lets you switch between:

Platform — Superadmin scope (these dashboards)
Specific organization — to enter as an admin of a client org
Specific workspace — inside an organization

All without switching accounts or leaving the session.

What is available

The native Superadmin dashboards cover seven areas of platform operation. Each area is represented by one or more dashboards in the Hub, and they can be organized into tabs like any other.

Platform health

Macro indicators that answer “is Prodgy growing and being used?”.

Active users per day, week and month
Stickiness curve (DAU/MAU)
New signups per day
Distribution of organizations by status (trial, active, past due, canceled)

Feature adoption

Where the actual product usage is and which features have traction.

Event volume per feature over time
Ranking of most-used features
Penetration of each feature (how many active orgs touch it)

Top customers

Identifies case-study candidates and who extracts the most value from the platform.

Top organizations by usage volume
Comparative adoption curve across the leaders
Top global users (can be anonymized if needed)

AI consumption and cost

Visibility on what the platform spends on LLMs and who consumes it.

Total tokens (prompt, completion, total)
Estimated cost per organization, per model and per source
Distribution by provider
Top organizations by consumption

Perceived quality

Measures whether the AI’s responses and actions are satisfying users.

Feedback aggregates (positive / negative) per feature
Trend over time
Breakdowns by model and by agent

Integrations and MCP

View of the layer connecting Prodgy to the outside world.

Most-installed integrations (ranking across orgs)
Top MCP tools called per day
Success vs error rate on calls

Knowledge base

Knowledge base adoption and query quality.

Total ingested documents
Query volume per day
Hit rate of queries

Individual activity

Per-user drill-down — useful to understand power-user behavior or diagnose problems reported by clients.

Personalization

They work like any other dashboard in Prodgy: tabs, resizable slots, drag-and-drop, filters, CSV export. You can build separate panels for operational focus (health + quality) or commercial focus (top customers + cost + feedback), and save configurations as the platform default so that new Superadmins start with the layout ready.

For personalization details, suggested layouts, and the preference cascade, see the user guide under Managing Dashboards.

Privacy and isolation

The data displayed comes from the platform’s internal event and telemetry tables — it does not depend on any external integration being installed. That means the view works even on a brand-new install with no clients connected yet.