Design KPIs

Design KPI frameworks, set targets, and develop measurement plans that help teams make product or business decisions.

When To Use Data Quality First

Use $analyze-data-quality first when the task is to reconcile existing metrics, dashboards, tables, owners, or sources of truth.

Return to this skill only when the user asks to define the metric going forward, redesign the KPI framework, choose guardrails, or set targets.

Skill Configuration

Source Discovery And Verification

Use the relevant semantic layer as a starting map, not a boundary.

1. Explore all possible sources. Search every connected or provided source that could contain task-relevant data or change the interpretation. Within each structured-data source, run fresh catalog or metadata discovery for relevant schemas, datasets, tables, views, models, and metrics. Known sources, tables, dashboards, and semantic mappings are starting points, not stopping points.
2. Compare duplicates and conflicts. When sources overlap or disagree, compare ownership, freshness, definition, grain, coverage, and directness. Use the best authoritative source, or combine complementary sources when needed. Note material conflicts, explain why the selected source or sources control the answer, and verify selected data through live reads before concluding.