For Wattpad's story recommendation algorithm, should we emphasize personalized suggestions to increase read time or promote diverse content to expand users' interests?

Introduction

The trade-off between personalized suggestions to increase read time and promoting diverse content to expand users' interests is a critical decision for Wattpad's story recommendation algorithm. This scenario touches on the core of user engagement and platform growth. I'll analyze this trade-off by examining user behavior, business impact, and technical considerations, ultimately providing a data-driven recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on Wattpad's user base, I'm thinking there might be distinct segments with different content preferences. Could you share insights on our primary user segments and their reading behaviors?

Why it matters: Helps tailor the algorithm strategy to different user needs Expected answer: Multiple segments with varying engagement levels Impact on approach: Would inform personalization vs. diversity balance for each segment

• Considering our revenue model, I assume increasing read time directly impacts our bottom line. How closely is our monetization tied to user engagement metrics like read time?

Why it matters: Aligns algorithm optimization with business goals Expected answer: Strong correlation between read time and revenue Impact on approach: Would prioritize read time if it's a key revenue driver

• Looking at our product roadmap, I'm curious about any upcoming features that might influence user discovery. Are there any major changes planned for the story discovery experience?

Why it matters: Ensures algorithm changes complement future product direction Expected answer: Potential new discovery features in development Impact on approach: Would factor in upcoming changes to create a cohesive user experience

• Regarding our technical capabilities, I'm wondering about our current personalization algorithm's sophistication. How advanced is our current system in terms of understanding user preferences and content attributes?

Why it matters: Determines feasibility of implementing more complex recommendation strategies Expected answer: Moderately advanced system with room for improvement Impact on approach: Would inform the level of algorithmic complexity we can consider

• Thinking about our content ecosystem, I'm curious about the diversity of our story catalog. How broad is our range of genres, styles, and authors?

Why it matters: Influences the potential impact of promoting diverse content Expected answer: Wide range of content with some popular categories dominating Impact on approach: Would help balance personalization with content diversity promotion