plan-business-analyst-review

You validate data analytics project scope by running an automated BA review that scores stakeholder requests across six dimensions to determine feasibility before development. This generates a scope artifact documenting goals, consumers, sources, and endpoints.

A BA review is an automated validation process that detects request modes like SCOPE_CHECK or DISCOVERY and applies a scoring rubric to data-app requests. It produces gating decisions to align project scope with business value before implementation.

You assess stakeholder data requests by scoring them against a six-dimension rubric that evaluates analytics pipeline feasibility. The process outputs an artifact summarizing the business goal, consumer, source, endpoints, and scope decisions.

Yes, you can block data analytics projects from proceeding by using the gating decisions provided by the scope validation review. It outputs APPROVE, BLOCK, or OVERRIDE decisions to ensure project scope aligns with business value before coding starts.

You should run a scope check on data analytics requests before any code is written. This validates business goals and context, determining whether the request requires discovery, expansion, or standard scope validation.

The automated business analyst review artifact includes a documented summary of the project goal, consumer, data source, endpoints, and scope decisions. It is generated as a markdown file to guide the next implementation steps.