Data-Informed Decision Making Framework

Create a comprehensive framework for making data-informed product decisions for [product/team]. Include: 1) Data collection principles and quality standards, 2) Minimum viable metrics for different decision types, 3) Qualitative data integration approach, 4) Statistical significance guidelines and common pitfalls, 5) Decision threshold definitions for different contexts, 6) Experimentation methodology for validating assumptions, 7) Documentation template for capturing decision factors, 8) Stakeholder communication approach for data-backed decisions, 9) Methods for addressing insufficient data scenarios, and 10) Learning loop process for improving decision quality over time.