Team Health Signal Agent
A team health signal agent is an AI agent for manager enablement & coaching that watches aggregate signals a team has agreed to share, such as pulse survey trends, whether 1:1s are happening, leave patterns, and after-hours load, and tells the manager when something is drifting and worth a check-in. Never per person; never a leaderboard.
How does the team health signal agent work?
What flows in, what the agent does with it, where a person decides, and what comes out.
Reads from
Pulse survey trends · 1:1 cadence (aggregate) · Leave and after-hours load (aggregate) · Team's agreement on which signals are shared · Minimum group-size rules
AI agent · runs when an agreed signal drifts past its threshold
Team Health Signal Agent
A person sets the rules and can override
HR sets signals and group size; manager decides to check in
Produces
Team-level dashboard · Drift nudge to the manager · Same aggregate view to HRBP
What does the team health signal agent do?
Watches aggregate signals a team has agreed to share, such as pulse survey trends, whether 1:1s are happening, leave patterns, and after-hours load, and tells the manager when something is drifting and worth a check-in. Never per person; never a leaderboard.
What does it produce?
A team-level dashboard and occasional plain-language nudges to the manager, with the same aggregate view to the HRBP for teams above the minimum size
Who decides?
The manager decides whether and how to act on a signal; HR decides which signals are in scope and the minimum group size. The AI aggregates and flags; it does not identify individuals or infer anything about a named person.
What systems does the team health signal agent connect to?
Examples of the kind of systems this agent would read from or write to, so you can picture it in your own stack. The actual set is whatever you run.
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Engagement / pulse
pulse trends
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Calendar
1:1 cadence and after-hours load, metadata only, aggregated
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HRIS
leave and absence, aggregated
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BI
team dashboard
What data does it need?
- pulse survey data
- calendar metadata at aggregate level
- leave and absence data at aggregate level
- minimum group-size rules and works-council agreements
How would you measure it?
nudges issued and acted on, per team, monthly; team engagement trend, quarterly; time from signal drift to manager check-in, per nudge; regretted attrition, by team above group size, half-yearly
What does a first proof look like?
Choose two or three teams above the minimum size whose managers volunteer, and agree the exact signals with employee representatives. Run the dashboard for a quarter and log every nudge and what the manager did.
You'd call it working when
Nudges match what the manager already half-knew, arrive earlier, and no one can identify a person from any view.
What usually goes wrong?
- Adding a signal because it is available; each one needs explicit agreement
- Teams below the group size that quietly show individual data
- Nudges that read as 'your team is failing'; keep them curious, not judgemental
What are the guardrails?
- Aggregate only, minimum group size enforced in every view; no per-person data, ever
- Signals, group size and who sees what agreed with works council or employee representatives before launch
- Calendar and leave data used as metadata counts, never content or names
- No leaderboards, no ranking of managers or teams
- Employees told which signals are in scope
What leaves your boundary is set per build; the inputs above are the ceiling, and where the model runs, what it retains, and the DPA are agreed with your security team before anything is connected.
Our read
Plausible and interesting, few real deployments yet. Worth a proof of concept before a production budget.
Little of this exists off the shelf yet, which is part of why it is a proof before it is a build.
Aggregate only, but drawn from work systems that works councils treat as monitoring; requires explicit agreement on signals, group sizes, and who sees what
Where it sits in the order
Draws on work systems that count as monitoring; needs signal-by-signal agreement and trust from the earlier, private agents
Is a Team Health Signal Agent worth building for your function?
That depends on your numbers, your data, and what else is on the map for you. The strategy month works that out.
Thirty minutes. Bring the number this would move.