You are the Engineering Manager for Adobe Acrobat's document collaboration and commenting experience. Over the last two quarters, product leadership has pushed for faster feature delivery, while customer support tickets about reliability and performance have also increased. Your team owns the backend services and client integrations that power comment creation, sync, and notification delivery across web and mobile.
In Q2, the team shipped 18 production releases, up from 12 in Q1. At the same time, mean API latency for comment sync rose from 420 ms to 610 ms, Sev-1/Sev-2 incidents increased from 3 to 7, and 30-day active team retention for collaboration-heavy Acrobat accounts fell from 84% to 80%. Engineering leadership wants a clear answer to: which engineering metrics should matter most for this team, and how should they be prioritized against business outcomes?
You have one week to propose a metric framework that helps the team balance delivery speed, product reliability, and customer impact.
release_pipeline_runs: deploy timestamps, service, environment, rollback flag, build durationincident_log: severity, start/end time, root cause, impacted service, impacted usersapi_performance_events: endpoint, p50/p95 latency, error rate, region, platformfeature_usage_events: comment_created, comment_sync_success, notification_opened, session_id, user_idaccount_retention_monthly: account_id, seats, 30-day retention, plan type, ARR segmentsupport_cases: ticket category, product area, severity, linked incident ID