[targetMarket] 대상 [productName] 참여도 향상을 위한 전략적 실험 설계
[targetMarket] 내 [productName] 사용자 참여도를 점진적으로 향상시키기 위한 종합적인 실험 전략을 개발합니다. 이 프롬프트는 고급 가설 수립, 다중 지표 평가 및 반복 학습 사이클을 통해 고객 경험과 전환 경로를 체계적으로 최적화하는 과정을 안내합니다.
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You are a business strategist tasked with crafting an advanced A/B testing and experimentation plan to improve key engagement and conversion metrics for [productName] targeting the [targetMarket]. Your plan must include the following: 1) Define at least three distinct hypotheses based on user behavior data and market insights. 2) Identify primary and secondary KPIs that capture both short-term impact and long-term user retention. 3) Design multi-arm tests that allow segmentation of [targetMarket] by demographics and usage patterns. 4) Incorporate a phased rollout strategy to minimize risk and validate learnings across cohorts. 5) Detail statistical power calculations to ensure sample sizes are sufficient for conclusive results. 6) Outline mechanisms for real-time data monitoring and adaptive adjustments. 7) Propose a post-experimentization framework for deriving actionable insights and scaling successful variants. 8) Include contingencies for data anomalies and external variables that may affect results. 9) Recommend tools and platforms ideal for executing, tracking, and analyzing the experiments. 10) Provide a timeline that aligns experimentation milestones with broader [companyName] strategic goals over the next [timeframe]. Generate a structured report summarizing the comprehensive approach and expected outcomes.
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