Team-level Drill-downs
Compare adoption, velocity, quality, and cost per team with 2-level deep breakdowns. See which teams are thriving and which need support.
For Engineering Managers
Know which teams thrive with AI — before they tell you.
Some teams ship 2x more with AI. Others burn licenses. Scout shows you which is which — and what high-performing teams do differently.
What You Can See
Deep visibility into how AI is working across your teams without micromanaging.
Bottleneck Detection
See where delays shifted post-AI. Coding time may be down, but has the bottleneck moved to review or testing? Scout surfaces the shift.
Sprint Intelligence
AI-attributed ticket data shows which work types benefit most from AI assistance. Focus AI investment on high-impact areas.
From Signals to Action
Ask a question, get an investigation. Scout walks you through the data to find answers, not just charts.
Comparing Team Adoption Patterns
Platform team: 82% active AI users, avg 4.2 sessions/day. Mobile team: 34% active users, avg 0.8 sessions/day.
Gap: 2.4x adoption differenceAnalyzing Productivity Correlation
Platform: cycle time down 28%, PR throughput up 45%. Mobile: cycle time down 4%, PR throughput flat. Strong adoption-velocity correlation.
High adopters: 5.8x more velocity gainsChecking Root Cause Signals
Mobile team survey: "AI tools don't support Swift well" (72%), "No time for setup" (58%). Platform team had structured onboarding.
Barrier: Tooling fit + onboarding gap
AI is reshaping your workforce.
Are you measuring what’s changing?
Start with a discovery call. We’ll show you how Larridin gives you complete visibility into your AI transformation in minutes, not months.