But something feels off. Conversations are shorter. Fewer questions are being asked. The team is moving faster — but are they moving together?
None of this shows up in Jira, GitHub, or your sprint velocity charts. TeamWeaver’s entire job is to surface the signals those tools miss.
21 members across 4 teams · 2,580 communication events analyzed
Teams
Members
Events Analyzed
Patterns Detected
Team distribution by health status
Patterns by severity per team
Team readiness for AI adoption
Needs attention
Looking healthy
Looking healthy
Needs attention
Engineering
Participation has declined 34% over 4 weeks. Two members haven't initiated a discussion in 12 days. Response latency up 2.3x.
Have 1:1 conversations focused on workload, not output. Consider redistributing the AI tooling migration that landed primarily on these two members.
Engineering
78% of cross-functional messages flow through a single team member. Information bottleneck risk is elevated.
Introduce a rotating liaison role for cross-team coordination. Start with sprint planning.
Data Science
AI-generated content rate is 31%. Cognitive diversity dropped to 0.38 and question frequency is down 45%.
Institute a 'challenge round' in design reviews where AI-generated proposals must be questioned before adoption.
No surveys. No self-reporting. Just patterns in how your team already works — surfaced from metadata the tools you use are already capturing.
Privacy-first
Message content is never stored. Signals are computed from metadata — timing, structure, participation.
Team-level only
No individual scores, rankings, or comparisons. A mirror for teams, not a scorecard for managers.
Research-grounded
Every pattern maps back to research on how real teams work. The thresholds come from studies, not opinions.
TeamWeaver doesn’t just detect problems — it explains what is happening, why it matters, and exactly what to try next.
Silent Burnout
Two engineers have shifted from active contributors to passive responders over the past 4 weeks. Their participation has declined 34%, response latency has increased 2.3x, and passive agreement language ('sounds good', 'fine by me') has risen from 12% to 41% of their messages. This pattern — declining participation with increasing passive agreement — is a well-documented precursor to burnout and typically predicts disengagement 6-8 weeks before it shows up in delivery metrics.
Benchmark: Healthy teams maintain participation decline below 10% per month. This team: 34% decline over 4 weeks. Passive agreement rate above 25% is a concern threshold. Current: 41%.
Have 1:1 conversations focused on workload and wellbeing, not output. Consider redistributing the AI tooling migration that landed primarily on these two members.
Expected outcome: Participation stabilizes within 2-3 weeks. Early intervention prevents full disengagement and potential turnover.
01
One-click OAuth to Slack or Teams. TeamWeaver connects to the workspace you already have and begins reading the structural signals — no agents, no workflow changes.
02
Twenty-eight behavioral signals are extracted. Twenty-two dysfunction patterns are checked. Narrative insights are generated for the ones that matter.
03
Your dashboard fills in with team health, emerging patterns, and specific recommendations. First analysis arrives in under five minutes.
TeamWeaver makes the invisible visible — by listening not to what your team says, but to how they work together. Take the Health Check and see a sample briefing in two minutes, no account required.