ManagersData-Driven Decisions
Data-Driven Decisions
How we use metrics, evidence, and experimentation to guide product and delivery decisions.
Overview
Opinions are easy; evidence is harder. This domain covers how we track feature adoption, analyse defects from UAT, interpret delivery metrics, design experiments, and build a culture of outcome-based planning rather than output-based delivery.
Topics
- Feature Adoption Tracking — Measuring whether features are being used and delivering value
- UAT Defect Analysis — Using UAT findings to improve upstream quality and requirements
- Metrics Interpretation — Reading delivery and product metrics without drawing false conclusions
- A/B Testing Fundamentals — Designing and running experiments to validate product decisions
- Outcome-Based Planning — Planning around results, not just activities and deliverables