Context
Developed for an enterprise platform serving multiple customer segments, requiring clear metric accountability across product teams.
Intent
Demonstrate how metrics can be structured to enable accountability without creating measurement theater or misaligned incentives.
Tier 1 — Business Outcomes (Board Visible)
- Net Revenue Retention — measured monthly, owned by CRO with product co-accountability.
- Gross Margin — measured monthly, owned by CFO.
- Enterprise Logo Growth — measured quarterly, owned by CRO.
Tier 2 — Product Outcomes (Leadership Visible)
- Activated Workspace Rate — % of workspaces reaching defined activation state within 14 days. Owner: PM, Onboarding.
- Weekly Active Workspaces — deduplicated, owned by PM, Core Platform.
- Feature Depth Index — number of production-configured surfaces per active workspace. Owner: PM, Platform.
- Enterprise Readiness Score — composite of SSO adoption, audit-log usage, and RBAC configuration. Owner: PM, Enterprise.
Tier 3 — Model and Agent Metrics (Leadership Visible)
- Evaluation Pass Rate — % of evaluation suite passing on current production model. Owner: PM, AI.
- Drift Alert Volume — count of drift threshold breaches per month. Owner: PM, AI.
- Human Override Rate — % of agent actions overridden by user or reviewer. Owner: PM, AI.
- Rollback Events — count and mean time to rollback. Owner: PM, AI.
Tier 4 — Diagnostic Metrics (Team Visible)
- Feature-level adoption, funnel step conversion, latency and error budgets, individual model evaluation subsets. Maintained by the owning team, not surfaced to leadership unless a Tier 2 or Tier 3 metric moves.