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Velocity rose.
The signal changed.

When teams adopt AI tools, individual output climbs. Participation, divergent thought, and generative questioning quietly decline — beneath the metrics managers watch. TeamWeaver reads the signal beneath the output.

Two minutes · No account · Results by email

TEAM TRACE · 42 DAYSOUTPUT ↑PARTICIPATION ↓divergence detected
fig. 1 — sample team, 42-day observation window

The Paradox

Individual output and collective intelligence are not the same signal. Optimize for one, and you can quietly starve the other.

What the dashboard shows

PRs merged, up 18%
Velocity looks healthy. The sprint is on time.
Commits are steady
Stand-ups run on cadence. Jira shows green.
Message volume flat
Slack activity hasn’t noticeably changed.

What the signal reveals

Question frequency, down 45%
“Sounds good” and “fine by me” appear 3× more often.
Two engineers have gone quiet
They used to initiate 3–4 discussions weekly. Twelve days, zero.
Cognitive diversity is narrowing
From 0.67 to 0.38. The team thinks alike — not together.

The left column doesn’t predict burnout, churn, or stalled initiatives. The right column does. That gap — between what your tools measure and what actually predicts outcomes — is what decades of research on team performance keeps finding.

The Method

Connect your tools. We read metadata — timing, structure, participation. Content stays on the platform it came from.

  1. 01

    Connect

    One-click OAuth for Slack, Teams, GitHub, and Google Calendar. No agents to install. No workflow changes.

  2. 02

    Observe

    Twenty-eight behavioral signals — burstiness, Gini distribution, network centrality, trust language, generativity — computed from metadata only.

  3. 03

    Interpret

    Twenty-two dysfunction archetypes matched. A plain-language briefing with research citations. Never a composite score.

Principles

¹
Mirror, not scorecard.
No individual grades. No team rankings. TeamWeaver surfaces patterns; leaders decide what to do with them.
²
Silence is diagnostic.
When a usually-active voice goes quiet, that absence is often the leading indicator. It arrives well before anyone reports a problem.
³
Distribution is signal.
How much a team communicates tells you almost nothing about how it is doing. How that communication is distributed across the team tells you a great deal.
Privacy is foundational.
Message content is never stored. AES-256-GCM encryption at rest. Every signal is derived from metadata — timing, structure, participation.

Two minutes to see what your tools are hiding.

Answer six questions about your team. Get a research-backed reading on the patterns already in motion. No account. No obligation. Results by email.