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Product Management Analytics Question: Evaluating cloud gaming platform metrics for NetEase

what metrics would you use to evaluate netease's cloud gaming platform?

Product Success Metrics Medium Member-only
Metric Selection Data Analysis Strategic Thinking Gaming Cloud Computing Entertainment
User Engagement Product Analytics Performance Metrics Cloud Gaming NetEase

Introduction

Evaluating the success of NetEase's cloud gaming platform requires a comprehensive approach to metrics that captures both user engagement and technical performance. To address this product success metrics challenge, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Framework Overview

I'll follow a simple success metrics framework covering product context, success metrics hierarchy, and strategic initiatives.

Step 1

Product Context

NetEase's cloud gaming platform is a service that allows users to stream and play video games on various devices without the need for high-end hardware. Key stakeholders include:

  1. Gamers: Seeking accessible, high-quality gaming experiences
  2. Game developers: Looking to reach a wider audience
  3. NetEase: Aiming to expand market share and revenue streams
  4. Hardware partners: Interested in integration opportunities

User flow typically involves:

  1. Browsing game catalog
  2. Selecting and launching a game
  3. Playing the game with minimal latency
  4. Saving progress and exiting

This platform aligns with NetEase's strategy to diversify beyond traditional PC and mobile gaming. Compared to competitors like Google Stadia or Amazon Luna, NetEase may have advantages in terms of game library and regional infrastructure in Asia.

The product is likely in the growth stage, focusing on user acquisition and performance optimization.

Software-specific context:

  • Platform: Likely a combination of proprietary streaming technology and third-party game engines
  • Integration points: Game developer SDKs, payment systems, user authentication
  • Deployment model: Distributed cloud infrastructure to minimize latency

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