Team Briefing

Wed, Mar 18, 9:18 PM · 1880 events analyzed across 4 teams

Executive Summary

Cross-Team Insights

concern Growing Communication Gap Between Data Science and Engineering High confidence
These two teams used to share significant topic overlap and had regular cross-team exchanges. Over the past 6 weeks, their communication has diverged. Data Science is becoming increasingly specialized while Engineering's requests go through Product as an intermediary.
Benchmark: Connected teams maintain at least 2-3 direct communication channels. Current: most exchanges are routed through Product.
Recommendation: Create a shared Slack channel for 'data-eng-integration' and schedule a monthly architecture alignment. The goal isn't more meetings — it's more direct communication.
When previously connected teams drift apart, it often signals a misalignment between what's being built and how it integrates. MIT/Cross 2021 found this pattern in 34% of organizations with separate data teams.
4
Teams
1880
Events
4
Patterns Detected

Teams with Detected Patterns

Healthy Teams