Who can see Organizational Health
Unlike the other Analytics reports, Organizational Health is only available to people who can see Analytics for the entire organization — Workspace Admins and Data Analysts. Managers and individual contributors don’t see this report at all, even though they can open the other Analytics reports for their own scope. Because the network spans the whole company, there’s no partial, manager-limited view of it. You’ll find it in the Analytics section of the Windmill Dashboard.How the network is built
The network is built from collaboration signals across the work tools you’ve connected to Windmill. The more two people interact, the stronger the connection Windmill draws between them. Windmill groups those signals into the following categories:- Meetings
- Messages
- Code reviews
- Tasks
- Documents
Organizational Health surfaces collaboration patterns and strength — who works with whom, and how much. It doesn’t show the contents of anyone’s messages, emails, or documents.
What you’ll see
The report has three sections: the Network graph, the Key People lists, and the People table. A Guide button in the top right opens an in-app reference for every term used on the page.Network graph
An interactive map of your collaboration network:- Each dot is a person.
- Each line is a working relationship. Thicker lines mean stronger connections.
- Larger dots have more or stronger connections — their size reflects total connection strength.
Network overview
When no one is selected, the panel beside the graph summarizes the visible network:- People — How many people are in the network.
- Relationships — How many connections are shown. A stronger connection means more relationship signal between two people.
- Density — How tightly connected the visible network is overall. Higher density means people are connected to more of the others shown.
- Components — The number of separate groups in the network. One group means everyone shown is connected through some chain of relationships; more than one means there are clusters with no link between them.
- Communities — Groups whose relationships are more concentrated within the group than outside it. Detected with the Louvain algorithm.
- Modularity — How strongly the network separates into communities. Higher values indicate more distinct clusters.
- Max core layer — The highest k-core layer present in the network. Anyone at this layer sits in the most tightly interconnected subgroup — each member has at least this many connections to other members.
Selecting a person
When you select someone, the panel switches to their profile: their name and manager, every people metric for that person, and a Strongest connections list — their top relationships ranked by connection strength (the score is a relative strength signal, not a percentage).Key People
Three ranked lists that surface the people who play notable roles in the network:- Most connected — Active members with the highest Centrality across the company.
- Critical connectors — Active members who link otherwise separate groups. These are often the people whose departure would fragment collaboration.
- Cross-team linkers — Active members whose relationships reach most broadly across org-chart groups.
People table
A sortable, per-person table of network metrics for every active Windmill member in the graph. Click any column header to sort, or use Filter People to find someone by name. Click any value to open a side panel that explains the metric and shows a top-10 leaderboard for it. By default the table sorts by Strength (highest first).People metrics
These metrics describe each person’s role in the network. They appear in the People table, in the side-panel profile when you select someone in the graph, and in the in-app Guide.FAQs
Who can see this report?
Who can see this report?
Only Workspace Admins and Data Analysts — the roles with organization-wide Analytics access. Managers and individual contributors don’t see Organizational Health at all. Because the network spans the entire company, there’s no manager-scoped version of it.
Does this read the content of our messages and emails?
Does this read the content of our messages and emails?
No. Organizational Health measures how much and how broadly people collaborate — it’s built from activity signals across your connected work tools (messages exchanged, meetings attended together, code reviewed, shared projects). It doesn’t surface the contents of any message, email, or document.
Why is someone missing from the network?
Why is someone missing from the network?
Two reasons are common. First, the graph only shows relationships strong enough to clear Windmill’s readability threshold — someone with only weak or sparse collaboration signal won’t appear. Second, the Key People lists and People table include active Windmill members only. Searching for a person and seeing “Employee not in graph” means the former.
Can I filter by team or change the date range?
Can I filter by team or change the date range?
No. Unlike AI Adoption, Product Usage, and Explore, Organizational Health has no employee filter or date-range picker. It always shows the current state of your whole collaboration network, tuned automatically to surface the strongest connections.
Why does the network look sparse, or show 'No relationship scores met the network threshold'?
Why does the network look sparse, or show 'No relationship scores met the network threshold'?
The graph is built from your connected integrations. If the available sources do not provide enough collaboration signal, there may not be enough data to draw a meaningful network. Connect additional collaboration tools from the Integrations page to enrich it.Scores refresh overnight, so recently connected data sources will start appearing after the next daily refresh — not immediately.
What's the difference between Centrality and Bridge?
What's the difference between Centrality and Bridge?
Centrality measures how central someone is — being connected to other well-connected people raises it. Bridge measures how much someone links otherwise-separate groups. Someone can be a strong bridge without being highly central, or highly central without being a bridge.
Why do I see non-zero Centrality scores even when the network is split into separate groups?
Why do I see non-zero Centrality scores even when the network is split into separate groups?
Centrality is designed to give useful values even in fragmented networks where not everyone is reachable from everyone else. Each separate group gets its own set of well-formed scores, based on how well-connected people are within that group, rather than dropping to zero because the groups aren’t linked to each other.