You are an Engineering Manager for Autodesk Fusion. Over the last two quarters, leadership has asked whether your team is actually improving, not just shipping more features. Your team owns a collaboration workflow used by design teams to create, review, and share CAD changes.
In Q1, the team shipped 14 releases, resolved 320 bugs, and delivered 11 roadmap items. In Q2, the team shipped 18 releases, resolved 410 bugs, and delivered 13 roadmap items. However, customer-reported defects per 1,000 weekly active accounts increased from 2.8 to 3.4, median API latency for save/sync improved from 780 ms to 620 ms, 30-day account retention for collaboration users moved from 71% to 73%, and feature adoption for the new markup workflow rose from 24% to 39% of eligible accounts. Employee pulse survey scores for engineering health improved from 6.4 to 7.1 out of 10, while average cycle time increased from 5.2 to 6.0 days.
Stakeholders want a data-driven answer to: "Is the team improving over time, and how should we measure it going forward?"
fusion_usage_events: account_id, user_id, session_id, feature_name, event_name, timestamp, platformrelease_log: release_id, release_date, feature_area, incident_flag, rollback_flagjira_issues: issue_id, issue_type, severity, created_at, resolved_at, team_idsupport_cases: case_id, account_id, product_area, severity, created_at, root_causeservice_metrics: endpoint, p50_latency_ms, p95_latency_ms, error_rate, dateaccount_retention: account_id, cohort_month, active_30d, active_90d, plan_tier