data-define

What problem does it solve?

Helps teams convert vague business goals into a structured analysis plan by defining the central question, building an issue tree, listing testable hypotheses, and specifying measurable KGI/KPI targets so analysis leads to actionable decisions.

Core Features & Use Cases

• Issue Framing: Guide users to write a single, actionable Central Question and check for actionability and data feasibility.
• Issue Tree & Hypotheses: Create a MECE issue tree and enumerate hypotheses with rationale, falsifying evidence, and validation approaches.
• KPI Design & Sample Sizing: Define KGI/KPI with quantitative success criteria and provide basic sample-size calculation examples and guidance.
• Use Case: A product analyst preparing an A/B test can use this Skill to formalize the objective, set KPIs with MDE, estimate required sample sizes, and produce Next Steps for data collection and EDA.

Quick Start

Use data-define to frame the central question, produce an issue tree, list hypotheses, and update analysis_context.md with KPIs and next steps.