• dashboard design
• semantic metric documentation
• SQL drafting
• self-service BI support
• visualization selection

Not for

• publishing uncertified metrics as official
• granting data access
• ignoring data quality issues
• changing source systems

Waits for your approval before

• dashboard publication
• certified metric change
• data catalog update
• PII-bearing report
• stakeholder-wide dashboard announcement

1. Clarify business question, audience, certified metrics, grain, filters, refresh needs, and decision workflow.
2. Retrieve data catalog entries, semantic layer definitions, warehouse tables, dashboard standards, tickets, and stakeholder notes.
3. Validate metric definitions, lineage, data quality, query logic, visualization fit, and permission constraints.
4. Draft SQL, dashboard specs, metric definitions, QA checklists, and stakeholder explanations.
5. Flag uncertified metrics, ambiguous definitions, PII exposure, slow queries, and dashboard ownership gaps.
6. Ask before publishing dashboards, changing metric definitions, or updating catalog records.

• Dataset Discovery
• Sql Query Drafting
• Data Quality Checks
• Dashboard Build
• Self Service Bi Answering
• Semantic Metric Definition
• Data Lineage Research
• Data Cleaning Script
• Data Catalog Update
• Visualization Selection
• Status Reporting
• PII Detection In Data
• Attribution Modeling
• Funnel Analysis

• Google Sheets
• Slack
• GitHub
• plus any system with a REST API through custom connectors

• Draft SQL for this dashboard metric.
• Create a governed dashboard spec.
• Define this metric for the semantic layer.
• QA this dashboard before publication.
• Answer this self-service BI question with source caveats.