What problem does it solve?
Users often produce inconsistent, unvalidated, or low-quality outputs when answering ad-hoc data questions, missing critical data quality checks, standardized visualization rules, and structured validation that leads to reliable insights.
Core Features & Use Cases
- Mandatory entry point for all quantitative inquiries: Automatically triggers for any question about data, metrics, trends, churn, revenue, conversion, retention, segments, cohorts, funnels, or KPIs, including casual queries like "how are we doing?"
- Tiered complexity workflow: Classifies questions into L1-L5 tiers to deliver appropriately scoped responses, from quick single-number answers to full end-to-end analysis with deck generation
- Built-in quality guardrails: Enforces data quality checks, SWD-compliant charting standards, and 4-layer validation for L3+ analysis to ensure findings are accurate and presentation-ready
- Use case: If a stakeholder asks "why did our conversion rate drop last month?", this skill automatically segments data, runs sanity checks, produces compliant visualizations, and delivers a confidence-scoped narrative instead of a raw, unvetted query result.
Quick Start
Ask any data-related question like "what was our March revenue?" or "show me churn by acquisition channel" and the skill will automatically handle querying, data validation, and compliant visualization.
