Metriql Docsv1.0.3

A data engineering team uses Metriql Docs to automatically generate and update documentation for metrics and dimensions defined in their semantic layer. This ensures BI analysts always have current descriptions and definitions without manual effort.

A customer success team integrates Metriql Docs to maintain a searchable catalog of business metrics. This allows them to quickly find and explain key metrics like churn rate or NPS to clients during reviews.

An analytics team uses Metriql to centralize metric definitions and publishes them via Metriql Docs. Different BI tools (Tableau, Looker) reference the same docs, ensuring consistent reporting across the organization.

New data analysts access Metriql Docs to learn about available dimensions and measures before building reports. This reduces onboarding time and reliance on senior team members for metric definitions.

A DevOps pipeline includes automated updates to Metriql Docs when new metrics are added or changed. This enforces governance by ensuring documentation is always in sync with the semantic layer code.

Charge users based on the number of documents, metrics, or API calls to Metriql Docs. This aligns cost with value for teams of varying sizes.

Offer Metriql Docs as an embedded service within other analytics or BI products. These platforms license the docs functionality to their customers, generating per-seat or per-tenant revenue.

Provide a free tier for basic documentation and paid plans for advanced features like team collaboration, version history, and API access. This attracts individual users and converts teams.