Introduction
The trade-off we're considering is whether Netflix should increase the number of concurrent streams, potentially impacting streaming quality, or maintain the current limits. This scenario involves balancing user convenience with service quality, which directly affects Netflix's core product offering and user experience.
I'll approach this analysis by examining the context, evaluating potential impacts, designing experiments, and providing a data-driven recommendation.
Analysis Approach
I'd like to outline my approach to ensure we're aligned on the key areas I'll be covering in this analysis.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps understand the urgency and strategic importance of the decision. Expected answer: Competitor actions or user feedback driving the consideration. Impact on approach: Would influence the prioritization and speed of implementation.
Why it matters: Ensures the solution aligns with business objectives and pricing strategy. Expected answer: Potential for new tier or adjustment to existing tiers. Impact on approach: Would affect how we structure the experiment and analyze results.
Why it matters: Helps predict potential adoption and impact on different user groups. Expected answer: Varied usage patterns across different demographics or subscription tiers. Impact on approach: Would inform targeting for experiments and impact analysis.
Why it matters: Determines the feasibility and potential costs of implementation. Expected answer: Current capacity and potential bottlenecks or upgrade requirements. Impact on approach: Would influence the scale of the experiment and implementation timeline.
Why it matters: Ensures we consider all stakeholders and potential legal implications. Expected answer: Possible restrictions or opportunities in content agreements. Impact on approach: Would impact how we structure the offering and communicate changes.
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