Data Question Framing

Mission

Turn ambiguous business, product, policy, or research asks into decision-ready data science problem statements.

Current pain point: Teams waste cycles modeling the wrong target, optimizing vanity metrics, or answering questions that no owner can act on.

Why this skill exists: A framing skill closes the gap before analysis starts: outcome, unit, target, metric, constraints, and decision owner are made explicit.

Operating Rules