How can RidiWebtoon improve its webtoon recommendation system to better match readers' preferences?

Introduction

To improve RidiWebtoon's recommendation system for better reader preference matching, we need to analyze user behavior, identify pain points, and develop targeted solutions. I'll outline a comprehensive approach to enhance the recommendation algorithm, focusing on user segmentation, pain point analysis, and innovative solutions.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking RidiWebtoon might be facing challenges with user retention and engagement. Could you share some insights on the current user retention rates and average time spent on the platform?

Why it matters: Helps determine if we should focus on improving recommendations for new users or enhancing the experience for existing ones. Expected answer: Retention rates are declining, especially after the first month, and average time spent is around 20 minutes per session. Impact on approach: Would prioritize solutions that quickly surface relevant content to hook new users and keep existing users engaged.

• Considering the competitive landscape, I'm curious about RidiWebtoon's market position. How does our recommendation system currently compare to major competitors like Webtoon or Tapas?

Why it matters: Identifies areas where we can differentiate and innovate. Expected answer: We're trailing behind in personalization accuracy but have a unique library of exclusive content. Impact on approach: Would focus on leveraging our unique content while significantly improving personalization algorithms.

• Thinking about user behavior, I'm wondering about cross-platform usage patterns. What percentage of our users access RidiWebtoon across multiple devices, and how does this affect their reading habits?

Why it matters: Influences how we approach recommendation consistency and synchronization across devices. Expected answer: About 60% of users access the platform on both mobile and desktop, with mobile being the primary reading device. Impact on approach: Would prioritize mobile-first recommendations while ensuring seamless transition between devices.

• Considering the product lifecycle, where is RidiWebtoon currently positioned, and what are the key metrics driving this improvement initiative?

Why it matters: Helps align our solution with the overall product strategy and growth objectives. Expected answer: We're in a growth phase, focusing on increasing Daily Active Users (DAU) and Average Revenue Per User (ARPU). Impact on approach: Would emphasize solutions that drive both user acquisition and monetization through improved recommendations.