Conversion Optimization Program Governance Questions

Design and govern a scalable conversion optimization program that enables systematic experimentation and continuous improvement. Core components include the experimentation framework and methodology, hypothesis prioritization and intake processes, resource allocation and team roles, experiment design and statistical rigor, tracking and instrumentation, quality assurance and experiment validation, and deployment and rollback procedures. Governance elements cover decision rights and role definitions for idea submission prioritization analysis and sign off, experiment documentation and knowledge sharing, experiment tracking and dashboards, metrics and success criteria hierarchy, controls for avoiding false positives and data dredging such as pre registration sample size calculations and stopping rules, and processes for scaling and operationalizing winners across product lines. Also include tooling and platform choices, data and analytics requirements, training and enablement for distributed teams, stakeholder communication cadences, and measurement of program health through throughput quality and business impact metrics.