Estimate the infrastructure or operational load needed to support a major Prime Video launch

Problem Statement Description

Product context: Amazon is a commerce, logistics, media, devices, and cloud company; its products include Marketplace, Prime, Prime Video, Alexa devices, ads, fulfillment, and AWS. Prime Video is Amazon's streaming video service; its products include movies, series, live sports, rentals, channels, recommendations, downloads, and ad-supported viewing.

Amazon is preparing for a major Prime Video launch, such as a highly promoted live event, sports premiere, or new season release expected to attract a large spike in viewing demand. Your task is to estimate the infrastructure and operational load required to support the launch reliably across devices, geographies, and customer segments.

Frame the estimate as a product guesstimate: define what “load” means, choose the units you will estimate, and make clear assumptions about audience size, concurrent usage, stream quality, session length, device mix, and peak behavior. Consider that Prime Video sits inside Amazon’s broader Prime ecosystem, where customers may discover the launch through retail, grocery, devices, Alexa, Fire TV, email, and app surfaces.

The estimate should not require exact internal Amazon data. Instead, build a reasonable model using transparent assumptions, ranges, and sanity checks. The focus is on how you structure the problem, identify the biggest drivers of load, and communicate uncertainty in a way that would help a product or operations leader plan capacity.

The experience should consider:

- The scope of the launch: geography, content type, launch window, live versus on-demand behavior, and supported devices.

- The primary unit of estimation, such as peak concurrent streams, bandwidth demand, CDN/cache capacity, customer support contacts, or operational staffing.

- The eligible population, including Prime members, Prime Video active users, and relevant Amazon customer segments exposed to launch promotions.

- Expected adoption and frequency, including awareness, conversion to viewing, session duration, rewatching, and household-level versus user-level behavior.

- Peak-load assumptions, including time-zone concentration, first-hour spikes, live-event concurrency, and failure-prone moments such as login or playback start.

- Infrastructure drivers such as video bitrate, resolution mix, device mix, content delivery paths, authentication, personalization, and telemetry volume.

- Operational load drivers such as customer support tickets, social escalation, incident response, content operations, and partner coordination.

- Sensitivity checks for the assumptions that most affect the estimate, plus sanity checks against comparable streaming or Amazon-scale events.

Your goal is to produce a clear, defensible estimate of the infrastructure or operational burden Amazon should be prepared for during the Prime Video launch, while showing which assumptions matter most and how the estimate would guide planning decisions.