[productName]의 사용자 참여 증대를 위한 다변량 실험 설계

You are tasked with creating a comprehensive multivariate testing plan for [companyName] focusing on [productName] in the [targetMarket] segment. Your strategy must include:
1. Identification of 5-7 key variables (features, copy elements, UI components) relevant to user engagement.
2. Construction of hypothesis statements explaining expected interaction effects between variables.
3. A detailed experimental matrix specifying all variable combinations to be tested while balancing test complexity and resource constraints.
4. Recommendations for efficient sample size allocation and segmentation criteria to ensure statistically significant results.
5. Integration of qualitative feedback mechanisms to contextualize quantitative outcomes.
6. Prioritization criteria for iterating winning variations and phasing out underperformers.
7. Defined success metrics aligned with both short-term conversion goals and long-term retention objectives.
8. An outlined timeline for test rollout, data collection, analysis, and optimization phases.
9. Risk assessment regarding potential confounding factors and mitigation strategies.
10. Proposals for leveraging AI or machine learning models to predict optimal variable combinations.
Deliver an actionable multivariate experiment blueprint that empowers [companyName] to optimize [productName]'s user engagement efficiently and insightfully.