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Product Management Metrics Question: Netflix continue watching feature success measurement diagram

how would you define the success of netflix's "continue watching" section?

Product Success Metrics Medium Member-only
Metric Definition Data Analysis User Experience Optimization Streaming Media Entertainment Technology
User Engagement Data Analysis Product Metrics Streaming Services Feature Success

Introduction

Defining the success of Netflix's "Continue Watching" section is crucial for optimizing user engagement and retention. To approach this product success metrics problem effectively, I'll follow a structured framework that covers 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

The "Continue Watching" section is a prominent feature on Netflix's user interface, displaying a row of content that users have partially watched but not completed. This feature aims to make it easy for users to resume their viewing sessions and encourage continued engagement with the platform.

Key stakeholders include:

  1. Users: Want quick access to content they're currently watching
  2. Content creators: Interested in completion rates of their shows
  3. Netflix product team: Focused on increasing watch time and retention
  4. Netflix executives: Concerned with overall platform engagement and subscriber growth

User flow:

  1. User logs into Netflix
  2. "Continue Watching" section appears prominently on the home screen
  3. User can click on a title to resume watching or remove it from the list

This feature aligns with Netflix's broader strategy of personalization and reducing friction in the viewing experience. Compared to competitors like Hulu or Amazon Prime Video, Netflix's "Continue Watching" section is generally more prominent and customizable.

Product Lifecycle Stage: Mature - The feature has been around for years but continues to be refined based on user behavior and technological advancements.

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