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KPI / operating reviews

Metrics

Metric design defines what teams measure, how performance is monitored, and how decision makers interpret operational health.

systems.metrics

What this system does

Defines north-star, activation, retention, churn, revenue, cost, operational, and quality metrics.

Connects metric definitions to SQL logic, dashboards, review cadences, and stakeholder decisions.

Adds QA checks so metrics are trusted before they reach leadership or product teams.

How I use it

BudgetDB uses spend allocation, headcount, software cost per employee, source-to-fact reconciliation, and executive views.

Dashboards show KPI surfaces for contact center performance, revenue/product mix, and operating review.

Product analytics SQL examples calculate conversion, churn, NPS, CSAT, and first-purchase logic.

examples.evidence

Evidence or examples

BudgetDB code creates company software cost per employee and team allocation views.

Portfolio SQL demo includes churn rate, conversion rate, NPS, and CSAT examples.

Dashboard assets include contact center KPI and revenue/product dashboard examples.

Metric definition template

pattern
metric_name + owner + source table + calculation + grain + refresh cadence + QA check + business decision.

Cost metric pattern

sql
ROUND(total_software_spend_2025 / NULLIF(total_employees_2025, 0), 2) AS software_cost_per_employee_2025

North-star caution

pattern
A north-star metric should reflect durable value, not just activity. Pair it with guardrail metrics.
Content is evidence-first. If a system detail is conceptual, it is framed as a system focus or implementation pattern rather than a fake production claim.