product-data-audit

To audit product data gaps, you identify and document data sources, decision loops, and bottlenecks across a project, generating an interactive 12-section HTML audit with traceable metrics and automation opportunities.

A product data visualization audit report includes an ecosystem map, data inventory, bottleneck analysis, implementation contours, and governance headers with traceable findings and source citations across 12 interactive HTML sections.

Yes, you can use this audit workflow for engineering initiatives and data platforms; it is applicable to product teams to reveal data quality gaps, traceable metrics, and actionable improvements for diverse project types.

You generate an interactive HTML report for product metrics by instructing your agent to create the 12-section audit, which automatically structures collected data into a visualization of ecosystem maps and data inventories.

The best way to document data sources and decision loops for stakeholders is producing a structured interactive HTML file that surfaces traceable findings, governance headers, and automation opportunities.

No, you do not need external dependencies to run a product data audit; the skill operates independently to collect and structure project data into a deterministic 12-section HTML output.