What problem does it solve? Teams struggle to build dashboards that drive decisions: they pick vanity metrics, overcrowd layouts, and ship numbers that contradict finance because calculation methodology is inconsistent. This Skill provides a structured framework for selecting KPIs, laying out dashboards, and implementing correct metric calculations. ## Core Features & Use Cases - KPI Frameworks and Catalogs: Strategic/tactical/operational KPI tiers, SMART criteria, and ready-made metric lists for Sales, Marketing, Product, and Finance departments. - Layout Patterns: ASCII blueprints for executive summaries, SaaS metrics dashboards (MRR, LTV/CAC, churn), and real-time operations centers with alerting. - Implementation Code: SQL queries for MRR, cohort retention, and CAC, plus a complete Streamlit dashboard example with Plotly charts and alert sections. - Troubleshooting Guides: Diagnoses common failures like MRR contradicting finance, flat retention cohorts, database load from live dashboards, and alert fatigue. - Use Case: A product team building an executive SaaS dashboard can copy the layout pattern, adapt the MRR and cohort SQL to their schema, and avoid the normalization bugs that cause metric disputes. ## Quick Start Design an executive SaaS dashboard tracking MRR, churn, and LTV/CAC with appropriate layout and calculation queries.