what metrics would you use to evaluate spotify's discover weekly playlist?

Introduction

Evaluating Spotify's Discover Weekly playlist requires a comprehensive approach to product success metrics. This personalized playlist feature is a cornerstone of Spotify's user engagement strategy, leveraging machine learning to curate a unique weekly selection of songs for each user. To assess its effectiveness, we'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Discover Weekly is a personalized playlist of 30 songs updated every Monday for each Spotify user. It aims to introduce users to new music based on their listening history and preferences. Key stakeholders include:

1. Users: Seeking new music discovery and an enhanced listening experience
2. Artists: Looking for increased exposure and fan base growth
3. Spotify: Aiming to increase user engagement and retention
4. Record labels: Interested in promoting their artists and content

User flow:

1. Users access the Discover Weekly playlist in their account
2. They listen to the curated songs
3. Users can save liked songs to their library or add to personal playlists

Discover Weekly fits into Spotify's broader strategy of personalization and user engagement, differentiating it from competitors like Apple Music or Amazon Music. It's in the mature stage of its product lifecycle, having been introduced in 2015 and continuously refined since then.