hypothesis-tracker

# Hypothesis Tracker ## Overview The Hypothesis Tracker skill provides systematic capabilities for formulating, testing, and validating business hypotheses. It supports the scientific approach to business decisions by managing hypotheses through their lifecycle from formulation to resolution. ## Capabilities - Hypothesis formulation assistance - Test design specification - Evidence collection and linking - Confidence level tracking - Hypothesis status management - Invalidation criteria definition - Learning documentation - Hypothesis dashboard ## Used By Processes - Hypothesis-Driven Analytics Process - A/B Testing and Experimentation Framework - Decision Documentation and Learning ## Usage ### Hypothesis Formulation ```python # Create hypothesis hypothesis = { "id": "HYP-2024-001", "title": "Price Elasticity Hypothesis", "statement": "A 10% price reduction will increase unit sales by more than 15%, resulting in higher total revenue", "context": { "business_question": "Should we reduce prices to grow market share?", "decision_at_stake": "Q2 pricing strategy", "stakeholders": ["VP Sales", "CFO", "Product Manager"] }, "structure": { "independent_variable": "Price", "dependent_variable": "Unit sales, Total revenue", "mechanism": "Price elasticity of demand > 1.5", "conditions": "In current market conditions, for existing product line" }, "created_by": "Product Manager", "created_...